Data Scientist

Join us as a Data Scientist and help solve tough business challenges with data-driven solutions. Using our cloud-based data lake, you’ll build advanced machine learning and AI models to improve how the organisation understands and uses data. You’ll explore and question data, turning insights into opportunities and supporting smarter decisions. Working alongside your colleagues, you’ll develop stories from data that are easy to understand and impactful. We encourage continuous learning through experimentation, helping you grow your skills and business understanding. You’ll deliver valuable insights, diagnose issues, and communicate findings clearly to support business success and stakeholder confidence., * Elicit, specify, and document requirements for straightforward subject areas, ensuring clear boundaries and managing agreed deliverables.

• Identify, validate, and leverage simple internal and external data sets generated from non-complex processes.
• Develop, with guidance, predictive and real-time model-based insights to add value and support decision-making.
• Find, acquire, clean, and integrate data to ensure it is fit for purpose, with support as needed.
• Collaborate with stakeholders to explore data, formulate hypotheses, and use models and analytic tools to uncover insights.
• Apply a range of basic analytical techniques, including data mining, pattern matching, forecasting, visualisation, and simple machine learning.
• Independently develop basic machine learning models to generate insights, predict behaviours, and create value.
• Present data insights visually and creatively to help both technical and non-technical audiences understand findings and support decision-making.

Work arrangements:

At AXA we work smart, empowering our people to balance their time between home and the office in a way that works best for them, their team and our customers. You’ll work at least two days a week (40%) away from home, moving to three days a week (60%) in the future. Away from home means attending the office, visiting clients or attending industry events. We’re also happy to consider flexible working arrangements, which you can discuss with Talent Acquisition.

Do you have experience in SQL?, * Degree in computer science, mathematics, statistics, operations research, or a related quantitative discipline.

• Proven experience in applying and evaluating machine learning techniques to new datasets and problems using programming languages such as Python and SQL within a regulated environment.
• Skilled in identifying issues within machine learning systems and data and making practical recommendations for improvements.
• Knowledge of cloud and machine learning platforms such as Azure, ML services, and Databricks, with awareness of their applications.
• Able to produce clear reports and publish model outputs that meet customer requirements and adhere to organisational standards.
• Capable of designing, coding, testing, documenting, and refactoring moderately simple programs or scripts, ensuring high-quality and well-engineered results.
• Familiar with advanced analytical techniques including data and text mining, pattern matching, forecasting, semantic and sentiment analysis, network and cluster analysis, neural networks, and more.
• Demonstrated ability to work effectively as part of a data science team, engaging with users to prototype, refine, and monitor progress, and to identify and resolve issues during development activities.

As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom.

Pulled from the full job description

• Annual leave
• Paid volunteer time

AXA is a global leader in insurance and financial services, dedicated to helping customers protect what matters most to them. As the sixth-largest insurance company in the world, we provide a wide range of services, including health, car, home, and business insurance. We support millions of customers worldwide, helping them navigate life’s uncertainties with confidence.

AXA UK Support Functions look after our three customer-facing business units, providing the infrastructure and expertise to make sure we can be there for our customers.