Head of Data Science

About you and the role:

Reporting into the Chief Data Officer, as Head of Analytics, you will lead the analytical capability within Enstar's Data Office, helping shape the company's Finance & Data Transformation journey. You will build and mentor a multidisciplinary team that blends actuarial, data science, and BI expertise, ensuring analytics becomes a proactive enabler of smarter, faster business decisions across Finance, Actuarial, Claims, Investments, and Risk.

You are a commercially minded analytics leader with a quantitative or actuarial background, skilled at converting complex data into meaningful business insight. You thrive at the intersection of data science, actuarial modelling, and executive decision-making, using analytics to drive measurable value.

What you will be doing:

Data Science and Analytics

• Lead the design and delivery of advanced analytical and Machine Learning solutions across different business functions; for example; predictive reserving, claims forecasting, capital optimisation, portfolio risk, and operational efficiency, leveraging end-to-end ML architectures spanning supervised, unsupervised, and reinforcement learning.
• Combine statistical methods with modern ML techniques such as gradient boosting (XGBoost, LightGBM), ensemble methods, deep learning (CNN, RNN, LSTM), and generative models (GAN, VAE) to enhance predictive accuracy, interpretability, and automation.
• Engineer scalable analytical frameworks and reusable ML assets, integrating Python-based (or other) ML pipelines (TensorFlow, PyTorch, Scikit-learn, Pandas) with enterprise data platforms (Snowflake, Azure, Google Vertex AI) to standardise insight generation and model delivery.
• Collaborate with Data Architecture and Engineering to operationalise models through containerised MLOps environments (Kubernetes, CI/CD), enabling continuous learning, automated retraining, and real-time model validation across the enterprise.

Stakeholder Engagement

• Partner with senior leaders across Finance, Actuarial, Claims, and Investment to define analytical priorities that align with Enstar's strategic goals.
• Present findings clearly and persuasively — transforming complex analytics into actionable recommendations for the Executive Committee and Board.
• Act as the bridge between business and technology, ensuring data models, KPIs, and dashboards reflect business reality.
• Promote data literacy and adoption of analytics tools across the enterprise, supporting Enstar's move toward self-service and governed empowerment.

What You Will Bring

• Master's or PhD in a quantitative discipline such as Actuarial Science, Mathematics, Statistics, Computer Science, or Data Science.
• Professional designation desirable: FIA, CFA, FRM, or equivalent quantitative credential.
• Continuous learning mindset — staying current with advances in AI, machine learning, and actuarial modelling practices.
• A strong quantitative foundation — ideally in Actuarial Science, Mathematics, Statistics, or Data Science, with experience applying it in insurance, reinsurance, or financial services.
• A proactive mindset — you identify opportunities before they're requested, develop prototypes, and deliver tangible outcomes that demonstrate business value.
• Proven experience leading analytics or actuarial teams, combining hands-on technical understanding with strategic direction.
• Deep familiarity with insurance data structures (claims, exposure, policy, reserving, capital, and investment).
• Strong knowledge of modern data tooling — Snowflake, Python, R, Power BI, SQL, and Azure — and how to deploy them at enterprise scale.
• Outstanding communication and stakeholder skills — confident engaging with executives, actuaries, and engineers alike.
• A passion for innovation, automation, and continuous improvement — always looking for better ways to deliver insight.
• Lead the design and delivery of advanced analytical and machine learning solution.
• Has led a team of data scientists and is comfortable maturing an analytics practice.
• Champion strong model governance and analytical standards, ensuring transparency, validation, and regulatory compliance across all modelling activities.
• Collaborate with data engineering and business teams to embed analytical models into enterprise workflows and deliver measurable impact.
• Apply a wide range of machine learning and statistical techniques — including regression, classification, clustering, and time-series modelling.
• Has knowledge in building scalable, cloud-based analytical platforms and production pipelines using technologies such as Azure, Snowflake, and Python-based frameworks.
• Has knowledge in a finance background; i.e. risk, finance, actuarial science or quantitative analysis.
• Strong collaborator and team player who builds positive, cross-functional relationships and promotes a culture of shared success.
• Experienced in leading and managing diverse, multi-generational teams — fostering inclusion, adaptability, and mutual respect to bring out the best in different working styles.
• Proactive and solutions-focused, with a demonstrated ability to anticipate challenges, drive improvement, and deliver high-quality outcomes.

Your Benefits:

• Pension (Enrolment is automatic on joining with a 10% employer contribution)
• Dental Insurance (This is an optional taxable benefit available to employee, spouse, and dependents)
• Medical Insurance (This is an optional taxable benefit available to employee, spouse, and dependents through a private health network)
• Travel Insurance (As an employee you are automatically enrolled with business and leisure travel insurance with single, couple, family, or single parent family coverage options.)
• Eligible company funded annual 360 Health Assessment.
• Voucher for free annual eye examination.
• Option to loan a bicycle and safety equipment tax free.
• Wellness Reimbursement program (up to 700 pounds annual reimbursement for wellness related expenses, i.e, gym memberships, massage, etc.).
• Tusker – Electric Vehicle (A fixed monthly amount is taken directly from your gross salary and, in return, you get the use of a brand new electric car.).
• Optional Critical Illness coverage
• Automatic coverage provided by income protection programme
• Access to Employee Assistance Programs (EAP) for health and wellbeing
• One paid annual volunteer day

Who we are:

Enstar is a trusted, leading global (re)insurance group that delivers innovative solutions that help our clients reduce risk, release capital and achieve finality. We operate through our network of group companies positioned across the world's major insurance hubs, spanning Bermuda, the US, London, Continental Europe and Australia.

We are dedicated to helping some of the world's largest organisations manage risk, providing new opportunities and supporting freedom to grow. With deep expertise, a highly experienced team and a strong track record in the retrospective (re)insurance market, we are proud of our 30+ year history of building enduring partnerships and bringing fresh thinking to complex challenges.

Our solutions are supported by Enstar's robust balance sheet, as evidenced by our $20.3 billion in assets, financial strength ratings and partnership with Sixth Street, a leading global investment firm.

Why choose us?

Learning and development opportunities are a fundamental part to our employee's career journey with Enstar. Their development and career progression remain key enablers of employee engagement, which can directly impact productivity, performance and retention.

At Enstar, we provide a number of initiatives and resources to support our employee's development through their career at Enstar.

• Professional Qualification/Study Support: We support our employees who wish to take professional qualifications aligned to their role and career development. In addition, we also offer study support.
• Training, Conferences & Seminars: As we are a global company we work with many Professional Bodies which offer training, conferences, seminars and often free CPD events.
• Digital Learning Hub: Our digital learning hub LinkedIn Learn has self-serve resources (e.g. courses, videos, ebooks, audio books) covering a range of topics to upskill your knowledge

We also invest in physical, mental and financial wellbeing initiatives for every employee. Supportive teams, inspiring work and a great environment contribute to our happiness. We take efforts to have a positive influence in our communities and to continuously reduce our impact on the environment.

Enstar Inclusivity Policy:

Our annual Inclusivity Index puts Enstar ahead of the industry in terms of promoting an inclusive and welcome working environment. We're an equal opportunity employer and believe that our inclusive environment creates an authentic working culture. We don't discriminate on the basis of age, physical or mental disability, gender reassignment, marriage and civil partnership, pregnancy and carer status, race (including colour, nationality, and ethnic or national origin), religion or belief, sex and sexual orientation. Enstar is committed in providing an accessible recruitment experience for all those interested in working with us. Please let your Enstar Recruitment Partner know if you require any reasonable accommodation during the application process due to a disability to enable you to fully participate in our recruitment process.