AXA XL recognizes digital, data and information assets are critical for the business, both in terms of managing risk and enabling new business opportunities. Data Science and Applied AI assets should not only be high quality, but also drive a sustained competitive advantage and delivering a superior experience to our internal, external customers and improving efficiency. Our Innovation, Data and Analytics (IDA) function is focused on driving innovation by optimizing how we leverage digital, data and AI to drive strategy and differentiate ourselves from the competition.

As we develop an enterprise-wide data and digital strategy that moves us toward greater focus on the use of data and strengthen our digital, AI capabilities, we are seeking a Data and ML Engineering Intern. In this role, you will work under guidance of the senior engineers to apply engineering best practice and latest technology to new and already deployed data science applications.

Our tech stack continues to evolve: Azure Data Factory, Azure Data Lake, Azure Synapse, PowerBI, Collibra, Databricks, MLflow, RStudio, Harness CI/CD, OpenShift, GitHub, JIRA.

DISCOVER your opportunity

As an intern, you will work closely with our experienced data scientists and engineers to develop and maintain of new and existing data and ML applications. Your responsibilities will include:

  • Own your development journey in areas of software, data, and ml engineering. Organisation will provide some guidance, but interns must demonstrate ownership and consistent independent progress to be considered for a full-time role.
  • Collaborate with data science, infrastructure, and operations teams to design, develop, and deploy data and machine learning applications.
  • Identify and troubleshoot issues with data and model quality, application performance.
  • Use software engineering principles to abstract repeatable routines to software tools.
  • Maintain best in class documentation on code and tooling.

Training and support will be made available to interns to develop in areas of platform tooling, data engineering, DevOps, machine learning / MLops and AI solution engineering.

SHARE your talent

We’re looking for someone who has these abilities and skills:

  • Graduated or part-time enrolled in a degree program in a technical or analytical field, or can demonstrate knowledge / experience in area of computing (e.g. prior work experience or completed a bootcamp course in programming)
  • History of high academic achievement in 80%+ percentile of student population.
  • Confident and articulate communicator and efficient team player
  • Familiar with machine learning at least at a conceptual level.

Desirable, relevant experience:

  • Computer science / software engineering / ML training. Familiarity with SDLC.
  • Prior academic or work experience in any of: data analysis, machine learning, statistics, databases, scripting and programming.

FIND your future

AXA XL, the P&C and specialty risk division of AXA, is known for solving complex risks. For mid-sized companies, multinationals and even some inspirational individuals we don’t just provide re/insurance, we reinvent it.

How? By combining a strong and efficient capital platform, data-driven insights, leading technology, and the best talent in an agile and inclusive workspace, empowered to deliver top client service across all our lines of business − property, casualty, professional, financial lines and specialty.

With an innovative and flexible approach to risk solutions, we partner with those who move the world forward.

Inclusion & Diversity

At AXA XL, we know that an inclusive culture and a diverse workforce enable business growth and are critical to our success. That’s why we have made a strategic commitment to attract, develop, advance and retain the most diverse workforce possible, while creating an inclusive culture where everyone can bring their full selves to work and can reach their highest potential. It’s about helping one another — and our business — to move forward and succeed.

  • Five Business Resource Groups focused on gender, LGBTQ+, race/ethnicity, disability and inclusion with 20 Chapters around the globe
  • Robust support for Flexible Working Arrangements
  • Enhanced family friendly leave benefits
  • Named to the Diversity Best Practices Index
  • Signatory to the UK Women in Finance Charter