Data Scientist

AXA•Haverhill, MA
•Hybrid

About The Position

As part of our ambitious strategy, AXA Health is seeking a skilled Data Scientist to join our dynamic and innovative team. You’ll play a key role in designing, developing and deploying data science and AI solutions that deliver real commercial value and improve the health and well-being of our customers. If you're passionate about using data and AI to make a genuine difference, we want to hear from you!

Requirements

  • Master’s degree or equivalent in a numerical field like data science, AI, maths, statistics, or computer science, with the ability to explain how technical work impacts the business.
  • Demonstrable experience with supervised, unsupervised, and deep learning methods, applying these to solve real business problems, especially in financial services or regulated industries.
  • Hands-on experience managing end-to-end AI projects, from building models, testing, deploying, to analysing results, and communicating their value to non-technical colleagues.
  • Skilled in developing and deploying generative AI solutions, including LLMs, prompt engineering, fine-tuning, RAG techniques, and AI agents.
  • Proficiency in cloud platforms such as Azure and Databricks, and familiarity with Azure DevOps tools like Boards, Repos, and Pipelines.
  • Good knowledge of explainable AI and best practices in MLOps and LLMOps, with the ability to explain their importance.
  • Strong programming skills in Python and SQL, with the ability to present data insights clearly to different audiences.
  • Experience working in agile, cross-functional teams, with a focus on collaboration and responsible, ethical AI practices, and understanding how technical work supports business goals.
  • Eligible and authorised to work in the United Kingdom.

Responsibilities

  • Lead and deliver data science and AI projects across the full lifecycle, from problem definition and business case development through to model deployment.
  • Apply a broad range of AI and data science methodologies across multi-modal data sources, tackling complex challenges spanning the entire customer journey, from acquisition and retention through to servicing, claims, and beyond.
  • Communicate findings and results clearly and compellingly to non-technical audiences, while educating and inspiring stakeholders on the transformative potential of AI and data science.
  • Take full ownership of existing ML/AI models, ensuring robust and ongoing monitoring of performance, data drift, scoring latency, and continuous optimisation.
  • Ensure full compliance with regulatory frameworks and data privacy standards, while proactively championing AXA's Responsible AI principles throughout every stage of the project lifecycle.
  • Commit to continuous professional development, staying at the forefront of emerging trends in AI and data science and actively sharing knowledge across the team.
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