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Senior Data Scientist - Industry Solutions Engineering

United Kingdom, London, London💼 Full-time🗓 2026-07-05 → 2026-07-12

Core

Acquire and prepare data for modeling, evaluate and improve team models, and define business/solution strategy goals for industry clients.

Role type

Senior Data Scientist - Industry Solutions Engineering

Builds

Operational models that run at scale, extensible code spanning multiple features, and data sets for modeling

Domain

Industry solutions, data science, and strategy

Deliverable

production ML models | product features | dashboards & analysis

Required skills

data acquisition, data set development, model evaluation, model improvement, best practices for data collection, best practices for modeling, data analysis, modeling techniques, evaluation method invention, industry trend research, technology research, extensible code development, debugging, business strategy definition, customer needs analysis, expectation management

Preferred skills

none stated

Technologies

none stated

Responsibilities

Acquire data necessary for project plans, update internal best practices for data collection and preparation, contribute to data integrity conversations with customers, evaluate team models and recommend improvements, 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, write extensible code that spans multiple features, define business, customer, and solution strategy goals, partner with other teams to identify and explore new opportunities, apply a customer-oriented focus to understand needs and drive realistic expectations

Seniority

Senior, hands-on IC with strategy and mentorship

Rewrite
## About the role You will acquire the data necessary for your project plan and develop usable data sets for modeling. You'll also update internal best practices for data collection and preparation, and contribute to data integrity conversations with customers. You will evaluate your team's models 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 best practices. You'll also write extensible code that spans multiple features, and develop 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 apply a customer-oriented focus to understand their needs, and help drive realistic customer expectations. You will embody our culture and values. ## Requirements - Doctorate OR Master's Degree OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field - data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) - Enjoy travel and are comfortable with travel up to 25% - Experience working as part of geographically dispersed, diverse, and virtual teams
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