38 Data Science jobs in Brandon

Deloitte is a leader in GenAI products and solutions. We are looking for a highly skilled and experienced Manager to drive the ground-breaking GenAI products we are creating within Strategic Analytics. The ideal candidate will have a strong background in the design and implementation of GenAI models and agents, as well as an expertise in building and maintaining front-end UIs. Your work will be integral to deliver on some of the most important priorities happening at Deloitte. If you seek a role that focuses on cutting edge technology, delivers solutions for executive leadership, revolutionizes the future of Finance, and prioritizes professional growth, look no further.
The team
Strategic Analytics sits within our Finance FP&A organization. We support the firm and business executive leaders along with our counterparts in other financial and operational roles. Our team leverages cloud computing, AI & data science, strategic thinking, and deep firm knowledge to support leadership's most important business decisions. Our insights are integral to driving growth into the future.
GenAI is a top priority for the future of the firm. We are actively building products and solutions that will revolutionize our firm and our clients. The selected candidate would be directly involved in the success of these engagements.
Specific responsibilities and qualifications for the Data Science Manager role are outlined below.
Recruiting for this role ends on Oct 15,, 2025
Work you'll do Core responsibilities:
+ Lead the design, development, and implementation of GenAI models & agents
+ Manage the creation & maintenance of intuitive and engaging UI/UX for analytics tools and applications
+ Develop timelines, milestones, and metrics to effectively plan and execute projects
+ Collaborate with firm & business leaders, other FP&A teams and other key stakeholders on project deliverables and progress
+ Ensure the scalability, reliability, and performance of AI models and analytics platforms
+ Manage and mentor a team of data scientists, AI engineers, and UI/UX designers
+ Translate complex technical concepts and insights to non-technical stakeholders
+ Support and build presentations on our GenAI products & solutions for clients and leadership
+ Develop and implement best practices for AI model development, deployment, and monitoring
Other responsibilities:
+ Collaborate with cross-functional teams to identify new GenAI opportunities to drive business value
+ Drive the strategic vision for AI and analytics within the organization, aligning with overall business goals
+ Stay current with the latest advancements in GenAI, AI/ML, and UI/UX design
+ Automate and streamline projects to increase efficiencies and scalability
+ Support ad-hoc requests and investigations into the data & process that support our GenAI tools
QualificationsRequired:
+ Bachelor's degree in AI / Data Science or a related subject
+ Minimum of 5+ years of relevant experience
+ Limited immigration sponsorship may be available
+ Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Demonstrated accomplishments in the following areas:
+ Advanced understanding of data science coding languages (Python, R, SQL)
+ Experience developing GenAI solutions with LLMs (Llama, ChatGPT)
+ Experience with cloud platforms (Databricks, Microsoft Azure)
+ Experience with visualizations tools (Tableau, Power BI)
+ Advanced in MS Office (Excel, PowerPoint, Outlook, Teams)
+ Implementing complex AI/ML algorithms
+ Strong project management skills
+ Excellent problem-solving skills and the ability to think strategically
+ Strong leadership and team management skills
+ Excellent communication and interpersonal skills
Preferred:
+ Advanced education degree
+ Certifications in GenAI, AI/ML, or UI/UX design
+ Experience with front-end development (HTML, CSS, JavaScript, React)
+ Experience in the financial services or consulting industry
+ Business knowledge on financial and operational data
Information for applicants with a need for accommodation: wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100-$232,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Citibank, N.A. seeks a Data Science Lead Analyst for its Tampa, FL location.
Duties: Develop processes to evaluate and test input data used in models for compliance with fair lending regulations and clearly document and articulate the model usage boundaries to the stakeholders. Evaluate Tier 2 and Tier 3 models including Artificial Intelligence/Machine Learning (AI/ML) and Natural Language Processing (NLP) models for compliance with fair lending regulations. Periodically re-validate processes to ensure validity, efficiency, and accuracy; and to identify enhancement opportunities. Research new reform rules and rule changes and implement policies, procedures, or other controls necessary to comply with the rules related to algorithm review from a fair lending and fairness perspective. Assist with regulatory inquiries and/or examinations. This may include coordination with regulators and other parties. Work with examiners and business units to resolve any questions related to analytical methodology or data integrity. Review internal strategies, policies, procedures, processes, and programs to prevent violations of law, rule, or regulation and design and deliver a risk management framework that maintains risk levels within the firm's risk appetite. Engage with the Independent Compliance Risk Management (ICRM) Product and Function coverage teams to partner with, develop, and apply ICRM program solutions that meet the functional, business, product, and customer needs in a manner consistent with the Citi program framework. Collaborate with other internal areas including Legal, Business Management, Operations, other Control Functions, and In-Business Risk to address compliance issues related to review of models which may impact the supported function/business/product. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite in accordance with Citi policies and protocols.
Requirements: Bachelor's degree, or foreign equivalent, in Data Science, Statistics, Business Analytics and Project Management, Economics, or a related field, and three (3) years of experience in the job offered or in a related occupation developing, validating, modifying, and testing quantitative modeling approaches within the financial services industry. Three (3) years of experience must include: Developing, designing, and leveraging advanced quantitative modeling approaches, standard techniques for data inference and performance, and sophisticated statistical models including time-series forecasting, and supervised and unsupervised learning methods using Python, Statistical Analysis Software (SAS), and R; Performing complex data discovery utilizing Artificial Intelligence (AI) and Machine Learning (ML) on large-scale data lakes using Structured Query Language (SQL) and Big Data technologies; Developing Machine Learning scoring models; Preparing and validating data to build and validate scoring models using logistic regression and behavioral analytics for analysis and tuning of monitoring money laundering behavioral typologies/scenarios; Conducting data-driven analysis and creating reports using quantitative and qualitative data analysis methods; and Preparing statistical and non-statistical data exploration, documenting solutions, and presenting comprehensive results to both technical and non-technical audiences using visualization tools, including Matplotlib, Pyplot, and Seaborn in Python. 40 hrs./wk. Applicants submit resumes at . Please reference Job ID # . EO Employer.
Wage Range: $154,530.00 to $154,530.00
Job Family Group: Technology
Job Family: Data Science
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**Job Family Group:**
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**Job Family:**
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**Time Type:**
Full time
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**Primary Location:**
Tampa Florida United States
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**Primary Location Full Time Salary Range:**
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
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**Most Relevant Skills**
Please see the requirements listed above.
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**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
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**Anticipated Posting Close Date:**
Nov 03, 2025
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_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi ( ._
_View Citi's EEO Policy Statement ( and the Know Your Rights ( poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

We are seeking a highly skilled Data Scientist to join Investor Services Data Client Platforms product development organization. This role focuses on leveraging advanced data analytics, machine learning, and quantitative methods to optimize client-, product-, operations strategies, enhance risk management, and drive innovation in asset custody, fund administration, and investor services. As a global position, you will collaborate with international teams across regions, leading business critical transformative data science projects by leveraging data-driven insights to drive innovation and business growth.
**Role Summary**
In this role, you will tackle complex business challenges within Investor Services ecosystem by analyzing large-scale proprietary datasets, developing predictive models, and implementing data-driven solutions. You will work end-to-end from prototyping to production deployment, transforming traditional business practices through data science. This position demands a blend of technical expertise, business domain knowledge, and strong communication skills to influence stakeholders at all levels.
**Key Responsibilities**
+ **Data Analysis and Modelling:** Perform large-scale analysis on proprietary datasets related to securities custody, fund accounting, trade settlements, and client portfolios. Develop and deploy machine learning models for applications such as predictive analytics, operational efficiency, and client behaviour forecasting.
+ **End-to-End Solution Development:** Design, prototype, and productionize data science solutions, addressing real-world problems across Investor Services.
+ **Quantitative Research:** Conduct research to identify opportunities for automation and optimization in custody and fund services. Provide independent assessments and recommendations to enhance business processes.
+ **Collaboration and Stakeholder Engagement:** Work closely with cross-functional teams including product, operations, risk controls, compliance, and technology to integrate data insights into daily workflows. Communicate findings effectively through reports, visualizations, and presentations to non-technical audiences. Translate complex data concepts into user friendly features, ensuring accessibility for non-technical users.
+ **Innovation and Problem-Solving:** Explore emerging technologies like AI and big data analytics to solve unprecedented challenges in securities custody, fund services and execution services, ensuring scalability across international markets. Stay informed on industry trends to guide product innovation.
+ **Data Governance and Quality:** Collaborate on reference data management, workflow enhancements, and issue escalation to maintain high standards of data accuracy and integrity.
+ **Global Perspective:** Adapt solutions to diverse regulatory, data privacy environments and cultural contexts, supporting multi-jurisdictional client needs.
**Required Qualifications**
+ **Education:** Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Finance, or a related quantitative field.
+ **Experience:** 3-5+ years in data science or quantitative research roles, preferably within financial services, asset management, or custody/fund administration. Experience with end-to-end data pipelines in production environments is essential.
+ **Technical Skills:**
+ Proficiency in Python, R, or other relevant languages,
+ Strong knowledge of SQL, big data tools and cloud platforms.
+ Expertise in statistical modelling, machine learning algorithms, and data visualization tools (e.g., QlikSense, Tableau).
+ **Domain Knowledge:** Understanding of custody and fund services processes, including securities settlement, fund valuation, risk management, and compliance.
+ **Soft Skills:** Excellent verbal and written communication skills; ability to explain complex concepts to diverse audiences. Proven track record of problem-solving in fast-paced, global environments.
**Preferred Skills**
+ Experience with investments and financial datasets and familiarity with regulatory frameworks in multiple jurisdictions.
+ Knowledge of advanced techniques like natural language processing (NLP) for contract analysis or time-series forecasting for market trends.
+ Certifications such as CFA, FRM, or data science-specific credentials (e.g. Google Data Analytics).
**What We Offer**
+ Opportunity to work on cutting-edge projects in a leading global financial services firm.
+ Comprehensive benefits package including health insurance, retirement plans, and professional development opportunities.
+ A collaborative, inclusive culture that values innovation and work-life balance.
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**Job Family Group:**
Decision Management
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**Job Family:**
Specialized Analytics (Data Science/Computational Statistics)
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**Time Type:**
Full time
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**Primary Location:**
Tampa Florida United States
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**Primary Location Full Time Salary Range:**
$153,600.00 - $230,400.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
---
**Most Relevant Skills**
Please see the requirements listed above.
---
**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
---
**Anticipated Posting Close Date:**
Oct 06, 2025
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi ( ._
_View Citi's EEO Policy Statement ( and the Know Your Rights ( poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

Data Science Manager, GenAI - SFL Scientific
Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.
SFL Scientific is a Deloitte Business that is part of our Strategy Offering, within our broader Strategy & Transactions practice mentioned above. This specialized team brings together several key capabilities to architect integrated programs that transform our clients' businesses. We are hiring a Data Science Manager to support the technical design, development, and deployment of novel AI solutions across healthcare, life sciences, manufacturing, consumer, energy, and other industries. Join us at SFL Scientific to expand your technical acumen through the lens of professional services and consulting and help create novel solutions to advance your data science & AI career.
Recruiting for this role ends 11/30/2025.
Work You'll Do
As a Data Science Manager at SFL Scientific, you will develop and manage a team of developers to deliver novel solutions in the AI and GenAI domains. You will be responsible for the technical direction of client engagements while defining the project strategy, communicating complex concepts to both technical and non-technical audiences, and leading solution development to solve our clients' use cases. The Data Science Manager will provide leadership for our comprehensive data science and AI initiatives, developing and executing strategies that deliver measurable business and scientific outcomes. Successful candidates will be an expert in using state-of-the-art technologies such as computer vision, natural language processing (NLP), time-series analysis, graph neural networks, and other AI/ML subdomains to solve complex business problems across diverse applications and use cases. Data Science Managers are also responsible for but not limited to:
+ Support identification of high-value AI opportunities that drive industry advantage, representing an organization's AI vision through strategic delivery and industry.
+ Serve as the technical lead on projects to drive the technical strategy, roadmap, and prototyping of AI/ML solutions to meet each clients' unique requirements
+ Engage and guide a diverse set of clients with high autonomy in AI strategy and adoption, including understanding organizational needs, performing exploratory data analysis (EDA), building and validating models, and deploying models into production
+ Lead comprehensive AI initiatives spanning predictive and generative AI, overseeing development of advanced models and ensuring systems are scalable, efficient, and adhere to requirements and AI guidelines
+ Support an interdisciplinary team of data scientists, engineers, and solution architects to achieve technical delivery objectives and real-world performance for production and research applications
+ Lead in the research and adoption of industry best practices for validation and deployment of models; support best delivery practices, code review, UAT, unit, and integration tests
+ Present to key stakeholders, including solution findings and options for potential deployment infrastructure, hardware, software, cloud, etc.
+ Mentor, motivate, and coach junior data scientists on technical best practices and inspire professional development
+ Develop key skillsets and delivery experience to grow into leadership or non-technical management and business roles
The TeamOur Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.
Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. We are advancing both predictive and generative AI technologies while maintaining a commitment to data-driven decision making across all levels of a client's organization, building solutions that drive growth and create meaningful impact. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.
Qualifications
Required:
+ Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
+ 6+ years of experience working in data science, data engineering, software engineering, or MLOps
+ 6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision to graph models
+ 6+ years of experience in core programming languages and data science packages (Python, Keras, PyTorch, Pandas, Scikit-learn, Docker, Kubernetes, etc.)
+ 6+ years of experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of developed algorithms
+ 4+ years of experience managing teams and delivering complex and critical projects
+ Live within commuting distance to one of Deloitte's consulting offices
+ Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Limited immigration sponsorship may be available
Preferred:
+ Experience with cloud deployment (AWS, Azure, GCP), such as building and scaling in AWS SageMaker or Azure ML Studio
+ Experience with developing and testing GenAI solutions
+ Experience in a client-facing role or internal AI product development role
+ Highly proficient written and verbal skills to support briefings, proposals, technical sprint plans, solution reports, progress updates, and executive presentations
Information for applicants with a need for accommodation: wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $130,800 to $241,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
#MonitorDeloitte
#DeloitteJobs
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All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

The team and the role
The Strategic Analytics team is dedicated to delivering actionable insights to finance and operational leaders, empowering them to make data-driven decisions that drive organizational success. By leveraging advanced analytical techniques and cutting-edge technologies, the team transforms complex data into clear, strategic recommendations. Our team members collaborate closely with various departments to understand their unique challenges and opportunities, ensuring that our analyses are both relevant and impactful. Join us to be at the forefront of strategic decision-making, where your analytical skills will directly contribute to shaping the future of our Firm.
Recruiting for this role ends on November 13, 2025
Key Responsibilities
+ Lead large-scale data science projects: Oversee the planning, execution, and delivery of highly complex predictive modeling initiatives that impact firm-wide strategies and practices
+ Strategic analytics & model development: Design, build, and validate predictive models to forecast critical business outcomes, ensuring solutions align with firm leadership's goals
+ Continuous improvement: Identify and implement opportunities to enhance modeling processes, data pipelines, and project methodologies to ensure ongoing innovation, efficiency, and best-in-class results
+ Data stewardship & feature engineering: Direct acquisition, preparation, and enrichment of datasets from diverse sources to maximize model accuracy and relevance
+ Model deployment & impact measurement: Guide integration of predictive models into business operations, set up monitoring systems, and refine models based on real-world feedback
+ Communication & stakeholder management: Translate analytics insights into clear, actionable recommendations for leadership, and deliver compelling visualizations and reports
The successful candidate will possess:
+ Ability to translate analytical findings into strategic business recommendations tailored for firm leadership and decision makers
+ Proven leadership in managing analytics teams or projects, including mentoring, team-building, and overseeing model deployment
+ Exceptional stakeholder engagement, collaboration, and interpersonal skills, with experience liaising between technical and business teams
Qualifications
Required:
+ Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Operations Research, or related field
+ Minimum 8 years in predictive analytics, data science, or related roles
+ Expertise in predictive modeling techniques, including time-series forecasting, ensemble methods, and machine learning algorithms
+ Proficiency with data science programming languages such as Python, R, and SQL, and experience using leading machine learning libraries (e.g., scikit-learn, TensorFlow, XGBoost)
+ Strong statistical analysis skills, including hypothesis testing, model validation, and performance measurement
+ Experience with data visualization tools (e.g., Tableau) and ability to communicate complex results in clear, actionable formats for executive stakeholders
+ Demonstrated project management skills, including managing deliverables, prioritizing tasks, and meeting deadlines under pressure
+ Ability to travel 0 - 5%, on average, based on the work you do and the clients and industries/sectors you serve.
+ Limited immigration sponsorship may be available
Preferred:
+ Experience in a professional services firm
+ Expertise in Tableau and DataRobot
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $137,400 to $253,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation:
qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Data Science Manager, Healthcare & Life Sciences - SFL Scientific
Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.
SFL Scientific, a Deloitte Business practice brings together several key capabilities to architect integrated programs that transform our clients' businesses.
We are hiring a Data Science Manager to support the technical design, development, and deployment of novel AI solutions across healthcare and life sciences.
Recruiting for this role ends on 11/30/2025.
Work You'll Do
As a Data Science Manager at SFL Scientific, a Deloitte Business, you will manage a team of developers to deliver novel solutions in the AI and GenAI domains. You will be responsible for the technical direction of client engagements while defining the project strategy, communicating complex concepts to both technical and non-technical audiences, and leading solution development to solve our clients' use cases.
Successful candidates will be an expert in using state-of the-art technologies such as computer vision, natural language processing (NLP), time-series analysis, graph neural networks, and other AI/ML subdomains to solve complex business problems across diverse applications in healthcare, diagnostics, hospital operations, and more. Join us to expand your technical career through the lens of professional services and consulting and help create novel solutions to advance your data science & AI career.
+ Serve as the technical lead on projects to drive the technical strategy, roadmap, and prototyping of AI/ML solutions to meet each clients' unique requirements
+ Engage and guide healthcare clients with high autonomy in AI strategy and adoption, including understanding organizational needs, performing exploratory data analysis (EDA), building and validating models, and deploying models into production
+ Lead for an interdisciplinary team of data scientists, engineers, and solution architects to achieve technical delivery objectives and real-world performance for clinical and non-clinician applications
+ Lead in the research and adoption of industry best practices for validation and deployment of models; support best delivery practices, code review, UAT, unit, and integration tests
+ Present to key stakeholders, including solution findings and options for potential deployment infrastructure, hardware, software, cloud, etc.
+ Mentor, motivate and coach junior data scientists on technical best practices and inspire professional development
The Team
Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.
Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.
Qualifications:
+ Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
+ 6+ years of experience working in data science, data engineering, software engineering, or MLOps
+ 6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision, to graph models
+ 6+ years of experience in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.)
+ 6+ years of experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of developed algorithms
+ 4+ years of experience managing teams and delivering complex and critical projects
+ Live within commuting distance to one of Deloitte's consulting offices
+ Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Limited immigration sponsorship may be available
Preferred Qualifications:
+ Experience with cloud deployment (AWS, Azure, GCP), such as building and scaling in AWS SageMaker or Azure ML Studio
+ Experience with developing and testing GenAI solutions for healthcare or life sciences
+ Experience in a client-facing role
+ Highly proficient written and verbal skills to support briefings, proposals, technical sprint plans, solution reports, progress updates, and executive presentations
Information for applicants with a need for accommodation: wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $130,800 to $241,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us.
NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com).
Job Responsibilities
As an intern working in data science, operations research, math or statistics, you will work alongside a team of experts to apply your knowledge and gain hands-on experience in one or more of the following areas:
+ Data analysis and visualization
+ Augmented decision-making and trusted analytics
+ Applied mathematics, statistics, and optimization
+ Simulation and computational analytics
+ Systems modeling and analysis
+ Operational effectiveness and efficiency
+ Knowledge discovery
+ Next-generation data environments
Basic Qualifications
+ Must be a full-time student pursuing an accredited degree program in Data Science, Math, Statistics, Operations Research or related disciplines.
+ Must continue to be enrolled the semester following the internship.
+ Foundational knowledge of data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages.
+ Must have sustained excellence in academic performance.
Preferred Qualifications
+ Experience applying data science, math, statistics or operations research concepts in an internship, research, or lab setting.
+ Proficiency using data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages.
+ Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements.
Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned.
This requisition requires the candidate to have a minimum of the following clearance(s):
This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
Salary compensation range and midpoint:
$45,500 - $7,000 - 68,500 Annual
Work Location Type:
Hybrid
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Our client is seeking a highly skilled and experienced Senior Remote Geological Engineer to spearhead advanced data analysis initiatives within their global mining operations. This is a fully remote position, allowing you to contribute your expertise from any location within the United States. The successful candidate will be responsible for analyzing vast datasets related to geological surveys, mineral exploration, mine planning, and resource estimation. You will utilize sophisticated statistical modeling, machine learning algorithms, and specialized geological software to identify trends, predict outcomes, and optimize extraction strategies. Your role will involve developing and implementing data-driven solutions to enhance operational efficiency, improve safety protocols, and maximize resource recovery. Collaboration with cross-functional teams, including geologists, mining engineers, and data scientists, will be crucial. You will translate complex geological data into actionable insights and present findings to stakeholders through clear and concise reports and presentations. A strong understanding of mining processes, geological formations, and geostatistics is essential. The ability to work independently, manage multiple projects simultaneously, and communicate technical information effectively in a remote setting is paramount. We are looking for an innovative thinker who can leverage cutting-edge technologies to drive significant improvements in our mining ventures. A Master's degree or Ph.D. in Geological Engineering, Geostatistics, Data Science, or a related field, coupled with a minimum of 7 years of progressive experience in the mining industry, is required. Expertise in programming languages such as Python or R, and familiarity with GIS software and database management systems, will be highly advantageous. This is a unique opportunity to shape the future of resource extraction through remote, data-centric engineering. If you are a passionate geological expert with a knack for data analysis and a desire for a remote career, we encourage you to apply.

Responsibilities:

• Analyze large-scale geological and mining datasets.
• Develop and apply statistical models and machine learning algorithms.
• Optimize mining plans and resource estimation through data analysis.
• Collaborate with geologists, engineers, and data scientists remotely.
• Interpret geological data and provide actionable insights.
• Develop data visualization tools and reports.
• Ensure data integrity and accuracy.
• Mentor junior engineers and data analysts.

Qualifications:

• Master's or Ph.D. in Geological Engineering, Geostatistics, Data Science, or a related field.
• Minimum of 7 years of relevant experience in the mining sector.
• Demonstrated expertise in geological data analysis and interpretation.
• Proficiency in Python, R, or other relevant programming languages.
• Experience with GIS software and database management.
• Strong analytical and problem-solving skills.
• Excellent communication and presentation abilities for remote audiences.
• Proven ability to work independently and manage complex projects.

Our client, a rapidly expanding technology firm at the forefront of AI innovation, is seeking an exceptional Principal Machine Learning Engineer to join their world-class, fully remote team. This is a senior leadership position where you will architect, design, and implement sophisticated machine learning models and systems that drive significant business impact. You will tackle complex challenges, pushing the boundaries of what's possible in areas like predictive modeling, recommendation systems, natural language processing, and computer vision. The ideal candidate is a deeply technical individual with a passion for innovation, a strong understanding of ML principles, and a proven ability to lead projects from conception through deployment.

Responsibilities:

• Lead the design, development, and deployment of scalable machine learning models and systems.
• Architect robust and efficient ML pipelines for data preprocessing, model training, evaluation, and inference.
• Collaborate with data scientists, software engineers, and product managers to translate business requirements into technical solutions.
• Identify opportunities to leverage machine learning to solve complex business problems and improve product offerings.
• Conduct research and experimentation to evaluate new ML algorithms, techniques, and tools.
• Optimize ML models for performance, scalability, and production readiness.
• Mentor junior engineers and contribute to the technical growth of the team.
• Develop and maintain high-quality, production-grade code, including rigorous testing and documentation.
• Stay abreast of the latest advancements in machine learning, AI, and data science.
• Present technical strategies and findings to both technical and non-technical stakeholders.
• Champion best practices in ML engineering, MLOps, and data governance.

Qualifications:

• Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field.
• A minimum of 7-10 years of professional experience in machine learning engineering or a related role.
• Deep expertise in ML algorithms, statistical modeling, and evaluation metrics.
• Proficiency in programming languages such as Python, Java, or Scala.
• Extensive experience with ML frameworks like TensorFlow, PyTorch, scikit-learn, or Keras.
• Strong experience with cloud platforms (AWS, Azure, GCP) and associated ML services.
• Solid understanding of data structures, algorithms, and software engineering principles.
• Experience with MLOps tools and practices (e.g., Docker, Kubernetes, CI/CD).
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to lead technical discussions.
• Proven ability to manage complex projects and deliver results in a fast-paced environment.

This fully remote role offers a highly competitive salary, comprehensive benefits, and the chance to work on cutting-edge AI projects with a talented and motivated team.