What you'll bring to the team
Senior Data Scientist
Location: London/Hybrid
Hours: 37.5 hours per week
Contract: Permanent - Salaried
You are a senior technical authority within the Data Science capability. You are responsible not only for building models, but for defining what should be built, ensuring quality, and 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.
Qualifications & Experience
- Degree in a relevant field such as Computer Science, Mathematics or Engineering.
- 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.
Benefits
- 'Enjoy the Ride' Merlin Annual Passes - 6 in total per year, 1 for you, plus 5 to gift to loved ones!
- Merlin Magic Pass - 20 free tickets for you, your family and friends to enjoy all our Merlin Attractions across the world rising to 40 after a year's service
- 33 days holiday (including bank holidays)
- Company bonus
- Private pension scheme
- 40% discount online off LEGO
- 25% discount in our on-site retail shops and restaurants
- Ongoing training and development opportunities
- Plus, many more
Pay Range
Competitive