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Principal/ Senior Data Scientist - FDE

United Kingdom, Multiple Locations, Multiple Locations💼 Full-time🗓 2026-07-17 → 2026-07-31

Core

Oversee data acquisition and formatting, drive ethics/privacy in data collection, evaluate models against business outcomes, and develop operational models at scale.

Role type

Principal/Senior Data Scientist

Builds

Operational models and data pipelines

Domain

Data Science / Analytics

Deliverable

production ML models

Required skills

Data acquisition and formatting, Ethics and privacy strategy, Model evaluation and metrics, Operational model development, Business and solution strategy, Cross-functional coaching

Preferred skills

Thought leadership in best practices, Extensible code development, Debugging techniques

Technologies

N/A

Responsibilities

Oversee acquisition of data sets and ensure proper formatting and description, Address gaps in current data sets, Drive ethics and privacy discussions around data collection, Evaluate team models using metrics tied to business outcomes, Recommend improvements and drive best practices for models, Develop operational models that run at scale, Conduct thorough reviews of data analysis and modeling techniques, Identify and invent new evaluation methods, Research and maintain deep knowledge of industry trends and technologies, Define business, customer, and solution strategy goals, Partner with teams to identify and explore new opportunities, Coach engineers and cross-disciplinary partners in data science best practices

Seniority

Principal/Senior, hands-on IC with strategy & mentorship

Rewrite
## About the role - You will oversee acquisition of the data sets necessary for your project delivery and ensure data is properly formatted and described. - You will address any gaps in current data sets, and drive ethics and privacy discussions around data collection and preparation. - You will evaluate your team's models using metrics tied to genuine business outcomes and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale. - You'll also conduct thorough reviews of data analysis and modeling techniques and identify and invent new evaluation methods. - You will research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership in best practices. - You'll also write extensible code that spans multiple features and develops expertise in proper debugging techniques. - You will define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities. - You'll also commit to a customer-oriented focus by acknowledging their needs and offering customer pragmatic solutions that align with their data capabilities. - As the expert data scientist, you will also coach engineers and cross-disciplinary partners in data science best practices and scale knowledge within the cross discipline team. - You will embody our culture and values. ## Requirements - Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND demonstrated years of data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) - Experience partnering directly with customers or internal stakeholders to deliver solutions end-to-end. - Comfortable with travel up to 25% (role dependent).
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