Enstar, a leading global insurance group, is offering an exciting opportunity for a Graduate Data Analyst as part of its Emerging Talent Programme. Based in the UK, this paid graduate role is ideal for individuals with a passion for data and innovation, and a desire to grow within a dynamic and forward-thinking organisation.
Applicants should hold, or be on track to achieve, a degree in a quantitative subject such as Data Science, Machine Learning, Statistics, Mathematics, Computer Science, or a related field.
Enstar is committed to supporting its graduates with excellent benefits, including a 10% employer pension contribution and a £700 annual wellness reimbursement. This is your chance to develop your career within a company renowned for delivering intelligent, data-driven insurance solutions across the globe.
About Enstar
Enstar is a leading global insurance group specialising in innovative legacy solutions for the insurance and reinsurance sectors. With over 30 years of expertise in the run-off space, Enstar expertly acquires and manages insurance liabilities, helping partners optimise capital deployment and risk management.
Founded in 1993 and now listed on NASDAQ, Enstar is recognised as the largest stand-alone run-off consolidator. Alongside its core claims management services, the group also maintains a portfolio of high-quality strategic investments.
Driven by regulatory shifts and market evolution, Enstar continues to grow through its deep industry insight, disciplined investment approach, and commitment to creating long-term value.
Position: Graduate Data Analyst
Salary: £33,000 a year
Job Type: Full-Time
Location: London
About the Role
Our Emerging Talent Programme at Enstar is designed to build a great foundation in data analytics and machine learning within the insurance industry. It combines technical training, real-world business exposure, and structured development to support a successful transition from education to career.
Over two years, participants will take part in tailored learning opportunities, rotational placements, and mentoring to develop critical thinking, data proficiency, and cross-functional awareness.
Responsibilities
This position sits within the Data Office. The team supports data-driven decision making across the organisation and contributes to developing ethical, responsible artificial intelligence capabilities.
Typical responsibilities include:
- Conducting statistical analysis and applying machine learning techniques to insurance and financial data
- Supporting data preparation and transformation for analytical purposes
- Developing, testing, and refining predictive models
- Presenting insights to stakeholders and translating analytical outputs into business context
- Collaborating with engineers and analysts across departments
- Contributing to projects related to responsible AI, governance, and compliance
Candidate Profile
Candidates should have or be expecting to achieve a degree in a subject area such as Data Science, Machine Learning, Statistics, Mathematics, Computer Science, or another quantitative field.
Skills and knowledge required include:
- Familiarity with supervised and unsupervised learning (e.g. regression, classification, clustering)
- Basic experience in Python, R, or SQL, and familiarity with libraries such as Scikit-learn, TensorFlow, or PyTorch
- Experience with data visualisation tools such as Power BI or Tableau
- Awareness of data privacy, responsible AI, and ethical technology practices
- Ability to convey technical ideas clearly and work collaboratively
Development and Support
Our graduates follow a structured development framework that includes:
- Formal training aligned to a professional qualification
- Technical and behavioural skills workshops
- Real business assignments and rotations
- Regular feedback and access to mentoring from experienced professionals
Benefits
We offer a comprehensive package to support wellbeing, financial planning, and professional development. Benefits include:
- 10% employer pension contribution
- £700 annual wellness reimbursement
- Private medical and dental insurance
- Health screening and wellbeing support
- Cycle to Work scheme and electric vehicle lease
- Employee Assistance Programme
- Volunteering days and inclusive events
Our Commitment to Inclusion
Enstar is committed to creating an inclusive, respectful, and accessible workplace. We support candidates from all backgrounds and provide support and adjustments throughout the recruitment process.
Applicants who require accommodations are encouraged to let us know at any stage. Enstar is an equal opportunity employer. We believe diversity of thought and experience strengthens decision-making and performance.
Recruitment Process
- Online application
- Online assessment and recorded interview
- Virtual assessment centre
Required Documents
- CV/Resume
- Cover Letter
Application Process
If you’re ready to launch your career in data analytics with a business that values growth, innovation, and professional development, APPLY TODAY
Application Deadline
June 12, 2025