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!