Senior Data Scientist in Woking

Join to apply for the Senior Data Scientist role at McLaren Automotive Ltd. We are recruiting a Senior Data Scientist to join our cutting‑edge Digital R&D and AI team. In this role, you will own the end‑to‑end lifecycle of advanced analytics and machine‑learning solutions that drive decision‑making across product design, manufacturing, supply‑chain and enterprise functions. You will partner closely with simulation, AI research and MLOps engineers to translate complex business questions into measurable impact. This position offers hybrid flexibility, with further details available during the application process.

What You’ll Do

• Translate priority business and engineering questions into statistically rigorous ML projects to focus team effort on the highest value opportunities and drive data‑driven decisions across design, manufacturing and enterprise operations.
• Design and govern controlled experiments (A/B tests, DoE) and causal analyses to quantify model impact, guiding resource allocation and ensuring measurable ROI on analytics initiatives.
• Develop, validate and maintain predictive and prescriptive models on scalable data platforms to deliver reliable, production‑ready insights that reduce cost, cycle time and quality‑related risk.
• Curate and enrich governed data and feature stores in collaboration with Data & Knowledge Engineering to maximise model accuracy, reusability and compliance with data‑quality standards.
• Industrialise validated models with MLOps teams, embedding monitoring for drift, bias and performance to guarantee low‑latency, high‑availability services that meet safety and regulatory SLAs.
• Communicate analytical findings through narrative storytelling, dashboards and decision briefs to equip technical and non‑technical stakeholders with clear, actionable insight and secure buy‑in for change.
• Champion ethical‑AI and privacy‑by‑design principles across the model lifecycle to protect sensitive data, mitigate bias and satisfy automotive safety and data‑protection regulations.

What You’ll Bring

• Solid understanding of how advanced analytics and machine learning create value across automotive design, manufacturing, supply‑chain and finance workflows.
• Advanced qualification in a quantitative discipline such as Statistics, Computer Science or Applied Mathematics (or equivalent expertise).
• Proven track record of delivering production‑grade ML and analytics solutions in complex, data‑rich domains (e.g., manufacturing, supply‑chain, finance).
• Deep proficiency in Python data‑science tooling (Pandas / Polars, scikit‑learn, statsmodels) and SQL, together with experience of distributed‑compute ecosystems (Spark, Flink), version control (Git), CI/CD and a test‑driven production software discipline.
• Expert knowledge of exploratory data analysis, statistical modelling, causal inference, experimental design and core machine‑learning theory.
• Ability to build, deploy and monitor data pipelines and end‑to‑end ML workflows using MLflow, Kubeflow or similar orchestration platforms.
• Competence with cloud‑native data stacks (AWS and AZURE) and containerised environments (Docker, Kubernetes) for scalable, low‑latency delivery.
• Experience in developing Generative AI models, especially multimodal including in 3D domain.
• Working knowledge of BI platforms and visualisation libraries (Streamlit, Gradio, Power BI, Plotly).
• Analytical storyteller who translates complex findings into clear, actionable insight for stakeholders at every level.
• Passionate advocate for data ethics, privacy and responsible AI within automotive innovation.
• Familiarity with Bayesian methods, reinforcement learning or graph analytics.
• Experience working with automotive telemetry, CAN‑bus data, PLM/ERP datasets or simulation outputs.
• Demonstrated engagement with the data‑science community through open‑source contributions, conference papers or technical talks.

What We’ll Do for You

• 25 days’ holiday, plus bank holiday.
• Annual buy & sell up to five days.
• Enhanced company pension scheme.
• Discretionary annual bonus award.
• Private medical insurance and health cash plan.
• Life assurance benefit.
• Opportunity to apply for a sabbatical of up to one year after only two years’ service.
• Benefits you can adapt to your lifestyle, such as discounted shopping.
• Generous parental leave policies.
• A range of wellbeing initiatives, such as employee assistance programme and free financial & mortgage advice.

Who Are We?

No restraints. No limitations. We don’t simply push boundaries. We completely rethink them. McLaren Automotive exists to create breath‑taking performance road cars. It takes a community to do what we do. A diverse group of people with many areas of expertise, united by their passion to deliver visionary products and set new benchmarks. McLaren Automotive commits to equal opportunity for all. Diversity, Equality and Inclusion is at the heart of our impact, it drives our innovation and enables us to truly create something special. Join us on our journey.

Location London, England, United Kingdom

Seniority Level Mid‑Senior level

Employment Type Full‑time

Job Function Information Technology

Industries Automotive