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About the Role

You are a senior technical authority within the Data Science capability, responsible for defining, building, and ensuring the quality of models, bridging the gap between business outcomes and technical delivery.

Responsibilities

• Build and deploy predictive models and advanced analytics solutions for high-value use cases.
• Own the most complex and high-impact modelling problems.
• Ensure robustness, explainability, and performance of models in production.
• Define the features and datasets required for modelling.
• Collaborate with the Lead Data Modeller to shape semantic definitions and structures.
• Work with Engineering to ensure pipelines support modelling needs.
• Translate business problems into analytical approaches.
• Challenge poorly defined requests and drive clarity on outcomes.
• Communicate trade-offs between model complexity, data availability, and delivery timelines.
• Establish and enforce best practices for modelling, evaluation, and deployment.
• Implement peer review processes for models and code.
• Ensure ethical and responsible use of data and AI.
• Mentor junior and mid-level Data Scientists.
• Support capability development and knowledge sharing.
• Act as a confident voice in shaping Data Science practices.
• Work closely with the Lead Data Modeller to define ‘Gold’ data required for analytics.
• Partner with Data Engineers to ensure model readiness and operational deployment.
• Align with Delivery Lead on prioritisation and feasibility.

Requirements

• At least 4 years of experience in a data science or statistical role with a proven track record of delivering impactful solutions.
• Experience in developing and deploying machine learning models and statistical analysis.
• Familiarity with distributed computing tools and cloud platforms (e.g., Azure Synapse, Snowflake, Databricks).
• Experience with data transformation and analytics tools (e.g., Python, SQL, Spark SQL).
• Proven ability to work with large datasets and complex data structures.
• Strong background in applying statistical and machine learning techniques to solve business problems.

Skills

• Python
• SQL
• Spark SQL
• Machine learning
• Statistical analysis
• Data transformation
• Distributed computing
• Cloud platforms

Location

• London

Work Type

• Hybrid
• Permanent
• Salaried

Experience Level

• Senior
• 4+ years

Education Level

• Degree in Computer Science, Mathematics or Engineering

Salary/Compensations

• Competitive

Benefits

• ‘Enjoy the Ride’ Merlin Annual Passes (6 per year)
• Merlin Magic Pass (20 free tickets, rising to 40 after a year)
• 33 days holiday (including bank holidays)
• Company bonus
• Private pension scheme
• 40% discount online off LEGO
• 25% discount in on-site retail shops and restaurants
• Ongoing training and development opportunities