Data Scientist
Role details
Job location
Tech stack
Job description
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.
Requirements
- Degree in computer science, mathematics, statistics, operations research, or a related quantitative field.
- Hands-on experience applying machine learning techniques to new data and problems, using Python and SQL in regulated environments.
- Problem-solver capable of diagnosing issues in machine learning systems and data, with practical suggestions for improvements.
- Familiar with cloud and machine learning platforms like Azure, ML services, and Databricks, and understanding their real-world applications.
- Skilled at creating clear reports and publishing model results that meet customer needs and organizational standards.
- Able to design, code, test, and refine simple programs or scripts, delivering high-quality, reliable results.
- Knowledge of advanced analytics techniques such as data/text mining, pattern recognition, forecasting, sentiment analysis, neural networks, and more.
- Team-oriented with proven ability to collaborate, prototype solutions, monitor progress, and troubleshoot during development.
As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom.
Benefits & conditions
Salary: Up to £45,000 dependent on experience