27 Google jobs in London

Our client, a leading innovator in the insurance sector, is looking for a highly motivated and experienced Senior Insurance Product Development Manager to join their fully remote team. This role is pivotal in conceptualizing, designing, and launching new insurance products that meet evolving market needs and customer demands. The successful candidate will drive the entire product lifecycle, from initial ideation and market analysis through to product launch and ongoing performance monitoring.

Responsibilities include conducting thorough market research and competitive analysis to identify opportunities for new products or enhancements to existing offerings. You will work closely with actuarial, underwriting, legal, marketing, and sales teams to define product features, pricing strategies, and policy terms and conditions. This role requires a deep understanding of insurance principles, regulatory requirements across various jurisdictions, and customer segmentation.

The Senior Manager will be responsible for developing detailed business cases, product specifications, and project plans for new product initiatives. You will lead cross-functional teams in the development and implementation phases, ensuring timely delivery and adherence to quality standards. This position also involves monitoring product performance, analyzing key metrics, and recommending adjustments to optimize profitability and market penetration. Exceptional communication and collaboration skills are essential for success in this remote role, as you will interface with stakeholders at all levels.

Qualifications:

• Bachelor's degree in Business Administration, Finance, Marketing, or a related field; MBA or advanced degree is a plus.
• Minimum of 8 years of experience in the insurance industry, with a significant focus on product development, management, or strategy.
• Proven track record of successfully launching new insurance products.
• Strong understanding of various insurance lines (e.g., P&C, Life, Health).
• Excellent analytical, strategic thinking, and problem-solving skills.
• Demonstrated ability to lead cross-functional teams and manage complex projects.
• Knowledge of insurance regulations and compliance requirements.
• Exceptional communication and presentation skills, with the ability to influence stakeholders.
• Comfortable and proficient working in a fully remote, collaborative digital environment.

Together we make breakthroughs possible.

At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and other technologies that connect people and organizations to the information they need. We value the power of unique perspectives and experiences to unlock innovation. At OCLC, your ideas matter, whether you have two years of experience or 20. You'll learn, create, and problem-solve with technologists, product developers, librarians, researchers, marketing pros, and support teams around the world.

The Job Details are as follows:

OCLC, Inc. seeks a Lead Data Scientist at its Dublin, OH HQ, to lead and coordinate a team of data scientists and analysts to review, scale, and enhance operationalized statistical and machine learning models and algorithms, and quantify improvements in terms of business efficiency or customer experience. PhD in Data Science, Electrical or Comp Engg or similar and 3 yrs exp, or Master's in Data Science, Electrical or Comp Engg or similar and 5 yrs exp req. Exp. must include at least 3 yrs of Python and Shell/Bash Scripting. Apply online at EOE

Our client, a forward-thinking technology solutions provider, is looking for a bright and motivated Junior Data Scientist to join their innovative team. This is a fantastic entry-level opportunity for recent graduates passionate about leveraging data to drive business insights and product development. You will work under the guidance of senior data scientists and machine learning engineers, contributing to the design, development, and deployment of predictive models and analytical solutions. This role will provide hands-on experience with large datasets, advanced statistical techniques, and cutting-edge machine learning algorithms.

As a Junior Data Scientist, you will be involved in data cleaning, feature engineering, model training, and performance evaluation. You will explore various data sources, identify patterns, and help translate complex analytical findings into actionable recommendations for business stakeholders. Collaboration is key, and you will work closely with product managers, engineers, and other data professionals to understand business needs and deliver impactful data-driven solutions. Proficiency in programming languages like Python or R, along with a solid understanding of statistical concepts and machine learning fundamentals, is essential. This role is based in our office in Columbus, Ohio, US , offering a dynamic environment for learning and professional growth.

Key Responsibilities:

• Assist in collecting, cleaning, and preprocessing large datasets from various sources.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Contribute to the development and implementation of machine learning models and algorithms.
• Train, test, and evaluate model performance using appropriate metrics.
• Assist in feature engineering and selection to optimize model accuracy.
• Collaborate with senior data scientists to interpret model results and generate insights.
• Help translate analytical findings into clear, concise reports and visualizations for business stakeholders.
• Participate in code reviews and contribute to the development of robust data science pipelines.
• Stay updated with the latest advancements in data science, machine learning, and artificial intelligence.
• Support the deployment and monitoring of models in production environments.

Qualifications:

• Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Strong understanding of statistical concepts and machine learning algorithms (e.g., regression, classification, clustering).
• Proficiency in programming languages such as Python or R, including relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
• Familiarity with SQL for data extraction and manipulation.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Good written and verbal communication skills.
• Ability to work effectively in a team environment and independently.
• Eagerness to learn and adapt to new technologies and methodologies.
• Prior internship or project experience in data science is a plus.

This is an ideal role for an aspiring data scientist eager to gain practical experience and launch a successful career in the field.

Location: Anywhere in Country
At EY, we're all in to shape your future with confidence.
We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
**Technology - Engineering & Systems Integration - Technology Analysis - Manager**
**SAP - Finance Management Accounting and Product Costing - Manager**
Our objective is to provide clients with a unique business perspective on how to leverage SAP technology to improve their operations. This is rooted in EY's SAP service line capabilities (Supply Chain, FICO, BPC, Data & Analytics, Customer, Tech/Arch and SuccessFactors) that are focused on helping clients improve performance and increase productivity.
**The opportunity**
EY's Agile Business Transformation enabled by SAP technology can help organizations address challenges in the digital era. Our EY SAP collaborative approach focuses on more than technology alone. We take a comprehensive, business-first view to address strategy, customer value, user experiences, processes, technology and operational impacts in tandem.
Join our dynamic team as a Technology Business Analyst Manager, where you will bridge the gap between business needs and technical solutions. You'll be instrumental in analyzing business models and processes to capture requirements that translate into technical specifications. Your role will be pivotal in ensuring that the system architecture solutions align with business objectives.
**Your key responsibilities**
As a Manager in Technology Business Analysis, you will manage and deliver high-quality processes, solutions, or projects with a focus on risk management. Your responsibilities will include continuous process improvement, innovation, and leveraging best practices. You will oversee professional employees or supervise teams to achieve complex technical initiatives. Expect to maintain billable client charging, lead delivery streams, manage projects, and engage with external clients daily. Travel may be required based on client needs.
+ Lead the translation of business requirements into technical specifications
+ Evaluate and ensure alignment of technology solutions with business objectives
+ Drive continuous improvement and innovation in processes and solutions
**Skills and attributes for success**
To thrive in this role, you'll need a strong foundation in managing processes and solutions with an emphasis on quality and risk management. Your ability to engage in research and apply best practices will be key to driving innovation.
+ Lead and deliver quality SAP projects or workstreams. You will initiate the requirement gathering, architect solutions, blueprinting, testing, complete the workflow and documentation, as well as the functional design of the solution. Liaise with the stakeholders and technical team to translate needs into business solutions and complete the configurations and/or integrations with SAP and non-SAP systems.   
+ Consistently deliver quality client services. Monitor progress, manage risk and ensure key stakeholders are kept informed about progress and expected outcomes.
+ Establish relationships with client personnel at appropriate levels.
+ Demonstrate strong decision-making skills in developing solutions for complex problems.
+ Modify policies and establish procedures within the scope of work.
+ Exercise sound judgment in selecting methods and criteria for obtaining results.
+ Possess a functional understanding of system development lifecycle and technology business architecture frameworks.
**To qualify for the role, you must have**
+ A Bachelor's degree
+ 4 to 6 years of relevant experience working with SAP Controlling with focus on Product Costing with exposure to costing of different Production Strategies such as Make-to-Stock, Make-to-Order. In-depth knowledge of Overhead Cost Accounting, Integrated Financial Planning, Margin Analysis, Universal Allocations, proficiency in integration points with other modules affecting Product Costing results (Material Management, Production Planning, Financial Accounting). Exposure to other FICO modules is preferred.
+ Strong written and verbal communication, presentation, client service and technical writing skills
+ Experience managing an SAP project or workstream and project-based team members. Experience with hybrid onshore / offshore delivery model is desirable
+ Deep knowledge of cost accounting process with ability to understand, communicate, and deliver complex reporting requirements specific to the client
+ Knowledge of Product Costing leading practices, peer company environments and prior advisory experience relevant to specific finance and technology functions including but not limited to:
+ Detailed knowledge of Costing Variants and Results Analysis configuration Strong knowledge of Material Ledger functionalities
+ Knowledge of Product Costing typical requirements in other countries.
+ Proficiency in Cost Center planning in S/4 and ECC Deep knowledge of available standard tools for building reports
+ Understanding of Parallel Ledgers and Parallel valuation functionalities and integration with Controlling
Familiarity with Security roles related to Management Accounting processes
+ Proficiency with one or more S4HANA SAP FICO, PP or MM modules
+ Ability and comfort level researching client inquiries and emerging issues, including regulations, industry practices, and new technologies
+ Experience developing functional specifications
+ Strong system configuration experience
+ Relationship management skills
+ Negotiation capabilities
+ Critical thinking aptitude
+ Emotional agility
+ A willingness to travel to meet client needs
**Ideally, you'll also have**
+ Prior consulting industry experience
+ SAP Certification/s
+ P_S4FIN SAP Certified Professional - Financials in SAP S/4HANA for SAP ERP Finance Experts
+ Experience with at least three full cycle implementations of your core module
+ Additional qualifications that enhance your ability to succeed in this role
+ Additional SAP Finance certificates
+ Prior industry experience in accounting department. Experience in leading cross-functional teams
+ A proactive approach to problem-solving and decision-making
**What we look for**
We are seeking top performers who demonstrate a blend of analytical prowess and creative thinking. Ideal candidates will possess a passion for technology and innovation, with a proven track record of translating complex business needs into effective technical solutions. Your ability to communicate effectively, manage relationships, and lead with agility will set you apart.
**What we offer you**
At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .
+ We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $142,600 to $61,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is 171,200 to 297,200. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
+ Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
+ Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
**Are you ready to shape your future with confidence? Apply today.**
EY accepts applications for this position on an on-going basis.
For those living in California, please click here for additional information.
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
**EY | Building a better working world**
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. 
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at .

Our client is looking for a distinguished Principal Data Scientist to lead initiatives in Generative AI and Emerging Technologies. This senior role is crucial for driving innovation and developing next-generation AI-powered solutions that will redefine industry standards. You will be at the forefront of research and development, exploring novel approaches in areas such as large language models (LLMs), diffusion models, and other generative techniques. Responsibilities include designing, building, and deploying sophisticated generative models, conducting rigorous experimentation, and translating complex research findings into tangible product features. The Principal Data Scientist will collaborate closely with engineering, product, and research teams to identify opportunities for AI application and to guide the strategic direction of our AI roadmap. This position requires deep expertise in machine learning, statistical modeling, and advanced algorithms, with a specialized focus on the rapidly evolving field of generative AI. A strong background in deep learning frameworks, data engineering, and MLOps is essential for successful model deployment and scaling. You will mentor junior data scientists, provide technical leadership, and champion best practices in data science and AI development. The ability to communicate complex technical concepts clearly to both technical and non-technical audiences is vital. We seek a candidate with a proven history of impactful contributions to the field, a passion for pushing the boundaries of AI, and a strategic mindset to identify and capitalize on emerging trends. This is an unparalleled opportunity to shape the future of AI within a forward-thinking organization. The primary work location for this role is **Columbus, Ohio, US**, with a flexible hybrid work arrangement.

Key Responsibilities:

• Lead research and development in Generative AI and related emerging technologies.
• Design, implement, and deploy advanced generative models (LLMs, diffusion models, etc.).
• Conduct experiments, analyze results, and drive innovation in AI.
• Collaborate with cross-functional teams to integrate AI into product strategies.
• Provide technical leadership and mentorship to data science teams.
• Stay current with the latest advancements in AI and machine learning.

Qualifications:

• Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field.
• 8+ years of experience in data science, with a significant focus on advanced AI/ML, particularly generative models.
• Expertise in deep learning frameworks (TensorFlow, PyTorch) and Python.
• Strong understanding of mathematical foundations and statistical modeling.
• Proven ability to lead research projects and deliver impactful AI solutions.
• Experience with MLOps and cloud platforms.

Our client is seeking an experienced and visionary Lead Data Scientist to spearhead their purchasing analytics initiatives. This is a fully remote position, offering the chance to make a significant impact on procurement strategies from anywhere. You will lead a team of data scientists and analysts in developing advanced analytical models and solutions to optimize purchasing processes, supplier performance, and cost savings. Your responsibilities will include defining the analytical roadmap, designing complex predictive and prescriptive models, and translating data-driven insights into actionable recommendations for the procurement department. The ideal candidate will possess a strong background in statistical modeling, machine learning, and data visualization, coupled with a deep understanding of purchasing and supply chain operations. You will collaborate closely with procurement leaders, IT teams, and business stakeholders to identify opportunities for data-driven innovation and efficiency gains. This role requires exceptional leadership, technical expertise, communication skills, and a passion for leveraging data to solve complex business problems.

Responsibilities:

• Lead the development and implementation of advanced analytical models for purchasing data.
• Mentor and guide a team of data scientists and analysts.
• Define the analytical strategy and roadmap for procurement analytics.
• Build and deploy predictive models for demand forecasting, supplier risk assessment, and price optimization.
• Develop dashboards and reports to visualize key procurement metrics and insights.
• Collaborate with stakeholders to identify business challenges and opportunities for data-driven solutions.
• Ensure data quality, integrity, and governance for purchasing-related data.
• Stay abreast of the latest advancements in data science, machine learning, and AI.
• Communicate complex analytical findings to both technical and non-technical audiences.

Qualifications:

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.
• 7+ years of experience in data science, with a significant focus on purchasing, supply chain, or operations analytics.
• Proven experience in leading data science teams and projects.
• Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
• Proficiency in programming languages such as Python or R, and SQL.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of purchasing processes and supply chain management.
• Excellent communication, presentation, and interpersonal skills.

This role is 100% remote, offering the flexibility to work from anywhere while driving critical purchasing analytics initiatives.

Description
We are looking for an experienced and innovative Senior Software Engineer to join our dynamic team in Hilliard, Ohio. In this role, you will collaborate with cross-functional teams to deliver high-quality products. If you thrive on solving complex problems and staying ahead of industry trends, this is the perfect opportunity to make an impact.
Responsibilities:
- Design and develop advanced software solutions tailored to meet complex business needs.
- Lead and mentor a team of engineers, providing guidance throughout project lifecycles.
- Build and maintain scalable applications, APIs, and database models to ensure optimal performance.
- Collaborate closely with product managers, user experience designers, and stakeholders to gather and refine project requirements.
- Manage software deployments and provide post-release support to ensure seamless operation.
- Recommend and implement best practices, tools, and processes to improve productivity and code quality.
- Conduct rigorous code reviews and approve changes to maintain high development standards.
- Evaluate team performance, offering constructive feedback and guidance for growth.
- Stay updated on emerging technologies and industry trends to propose innovative solutions.
- Assess and integrate frameworks, platforms, and tools to enhance development capabilities.
Requirements
- Minimum of 5 years of experience in building and maintaining software systems.
- Proven expertise in problem-solving and organizational skills.
- Proficiency in backend development and client-side scripting.
- Experience with ASP.NET Core and modern frameworks such as React, Angular, or Vue.js.
- Strong knowledge of relational database design and optimization.
- Familiarity with cloud technologies and API development.
- Bachelor's degree in Computer Science or a related field.
- Understanding of agile methodologies, including Scrum, and tools like Atlassian Jira.
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