Senior Data Scientist

Machine Learning, Predictive Modelling, Azure, Fabric & Synapse

Location: Hybrid (London-based office)
Salary: Competitive + 10% Bonus + 27% Civil Service Pension

This is a fantastic opportunity to join at the start of a major data transformation journey, as we move to the cloud with Microsoft Azure, Fabric, and Synapse technologies. We are investing in cutting-edge Cloud and AI-driven analytics, making this an exciting time to be part of our data science team.

If you are a Senior Data Scientist with expertise in predictive modelling, segmentation, and data automation, and you're excited about shaping the future of data in a cloud-first environment, we want to hear from you!

Key Responsibilities

• Lead and optimize automated reporting pipelines, ensuring high performance and quality assurance.
• Build and deploy predictive models, enhancing customer behaviour forecasting and operational insights.
• Maintain and further develop pricing analytics models and web applications for internal stakeholders.
• Drive segmentation modelling projects, improving customer targeting and personalization strategies.
• Develop and refine data pipelines and ETL processes, enabling efficient data integration into Azure Synapse & Fabric.
• Play a key role in cloud migration projects, supporting the organizations transition to Azure-based analytics.
• Lead data discovery projects to onboard and analyze new data sources, helping shape our future data landscape.
• Champion coding best practices, version control, and testing within the data science team.
• Collaborate with internal teams and external partners, ensuring alignment with business goals.

What Were Looking For

• Strong experience in machine learning, statistical methods, and predictive modelling.
• Expertise in programming with Python or R, including optimization, modularization, and best practices.
• Hands-on experience with SQL and working with relational databases, data lakes, and cloud platforms.
• Exposure to Azure Data Services, Fabric, Synapse, or related cloud technologies is highly desirable.
• Proven ability to create interactive data visualizations using tools like Plotly/Dash, Shiny, Tableau, or Power BI.
• Experience in developing web applications for data insights using JavaScript, CSS, or similar frameworks is a plus.
• Knowledge of Generative AI and experience using LLMs in data workflows.
• Strong stakeholder management and communication skills, translating complex findings into actionable insights.
• Degree in a numerate or statistical discipline (Mathematics, Statistics, Data Science, Computer Science, etc.).

Why Join Us?

• Be part of an exciting data transformation programme, helping shape a cloud-first analytics ecosystem.
• Work with leading-edge cloud and data science technologies, including Azure, Fabric, and Synapse.
• Competitive salary + 10% discretionary bonus.
• Exceptional pension benefits with a 27% Civil Service pension scheme.
• Hybrid working model with flexibility.
• Collaborate with cross-functional teams and external data partners.
• Excellent career development opportunities with continuous learning and leadership potential.

This is an exceptional opportunity to play a key role in driving AI and cloud-based analytics innovation. If youre passionate about data science, cloud transformation, and predictive modelling, wed love to hear from you!

Apply today and be part of our exciting data journey!