Data Scientist

Join AXA in revolutionizing the customer insurance claim experience through the use of machine learning models to make quicker and better decisions during crucial interactions. This position is key to the Advanced Claims Analytics program leading this transformation. The program aims to integrate data-driven, intelligence-led decision-making into the Claims culture and operations, resulting in significant cost savings, efficiency gains, and enhanced customer outcomes leveraging machine learning.

As a Data Scientist within the Claims Analytics team, you will develop end-to-end data science solutions that directly enhance the customer claims journey. This is a thrilling opportunity to utilize our cloud-based data lake, shape advanced machine learning, and influence the business's data utilization.

• Analyze business problems and showcase the value of a machine learning approach through Exploratory Data Analysis.
• Build and operationalize machine learning models using Python, ML libraries, and Databricks.
• Handle large-scale data from our data lakehouse.
• Implement MLOps, AutoML, and model explainability best practices.
• Communicate results to stakeholders effectively and contribute to long-term model performance tracking.

Given the expected high volume of applications, the job posting may close early to manage interest effectively. If you're keen to join the AXA team, we encourage you to apply promptly.

We are seeking someone who is proficient in ensemble and regression modelling techniques with knowledge of NLP such as NLI and Q&A answering. A strong background in deep learning libraries like PyTorch or TensorFlow is essential. Additionally, you should have demonstrable Python skills, including Jupyter Notebooks coding and the ability to write production-ready code like a Flask API. Experience with Version Control software like git is preferred.

The ideal candidate can extract insights from data, collaborate with operational stakeholders to propose machine learning solutions, and build models to realize benefits. Knowledge of PySpark for processing extensive data, especially with Databricks, is advantageous. Familiarity with insurance claims data is a bonus but not obligatory.

Note that eligibility to work in the United Kingdom is a prerequisite for this position.

At AXA UK, we value our employees, and our rewards package is regularly reviewed to reflect this. Here's what you can expect:

• Competitive annual salary of up to £35,000 based on experience
• Annual company and performance-based bonus
• Contributory pension scheme with up to 12% employer contributions
• Life Assurance up to 10 times the annual salary
• 25 days of annual leave plus Bank Holidays
• Opportunity to purchase or sell up to 5 extra days of leave
• AXA employee discounts and gym benefits

If you're interested in this position, please complete the application process. We are committed to being an Equal Opportunities Employer and do not discriminate based on protected characteristics. We also provide support for applicants with long-term health conditions or disabilities.

AXA operates in over 60 countries with 165,000 employees serving 107 million customers. Despite our scale, we prioritize caring for each individual within the organization. Joining AXA means benefitting from our unwavering support for your career development. You'll work in a nurturing environment where you'll receive guidance, face challenges, and have opportunities for advancement both locally and globally.

You'll have direct access to senior leaders, learning from the best in the industry and gaining significant responsibilities early on. At AXA UK, diversity and inclusion are fundamental principles that guide all our actions. We believe in harnessing top talent, enabling individuals to be themselves, and delivering exceptional service to all, irrespective of differences.

AXA UK Support Functions underpin AXA's customer-facing business units, offering the necessary support, infrastructure, and expertise to ensure continual customer satisfaction. We provide support and growth opportunities for individuals at all career stages, enabling you to flourish with confidence.