Data Scientist II

Description

We are recruiting a Data Scientist with applied machine learning experience to join our Claims Analytics team. This is an excellent opportunity to join a dedicated analytics team working on Claims and Fraud with multiple areas across the business.

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 majority of your week away from home. Away from home means either attendance at one of our head office locations, visiting clients or attending industry events.

You will work in a team of data scientist data engineers and actuaries, while your main responsibilities will include:

• Build automated solutions for classification, entity recognition and extraction using Natural Language Processing or Image Processing techniques.
• Contribute to the development of GenAI use cases and applications for claims.
• Build data pipelines using data science and machine learning techniques to solve business problems.
• Maintain and improve existing data science pipelines.
• Derive insights from analysis of large internal or external data sets and recommend potential business uses.
• Interact with the business to understand their needs and requirements.
• Prepare and deliver presentations and visualisations, making actionable and business focused recommendations for improvement.
• Work collaboratively within the team and share best practices.

About You

• Masters+ in Statistics, Engineering, Mathematics or Computer Sciences.
• 3+ year's work experience in a Data Science role.
• Proven experience using Python and Deep Learning required.
• Experience with GenAI and RAG required.
• Ability to work on multiple projects at the same time.
• Able to apply analytical problem solving, make recommendations, and implement improvements continuously in a dynamic environment.
• Communicate clearly and concisely to both technical and non-technical audience.
• Good understanding of machine learning models and data science process (feature engineering, modelling, etc.) required.
• Proficient in using code or analytical tools for modelling, visualisation, data manipulation and processing.

Preferred Experience:

• Experience using API frameworks to perform OCR or call LLMs
• Dealing with unstructured data
• Working in an MLOPS or agile environment (Sprints, Kanban, code versioning)
• Working with cloud service (Preferably Azure)

This recruitment campaign will be used to support permanent, temporary and/or extension for any upcoming similar positions.

Benefits:
Work From Home

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