Lead Data Scientist
Listed on 2026-07-13
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IT/Tech
AI Engineer (Applied/Software), Data Scientist, Data Analyst, Machine Learning/ ML Engineer
Description
Allianz are looking for a Lead Data Scientist to join our Customer Analytics team in Guildford or London on a hybrid basis.
This senior leadership role sits within a multi-disciplinary analytics team, driving the design, delivery, and deployment of advanced analytics and machine learning solutions to support decision-making, improve performance, and enhance customer outcomes.
You will lead across the full analytics lifecycle—from data exploration and modelling through to production—while providing technical leadership, coaching, and strong governance across data science delivery.
At Allianz, we champion a collaborative, inclusive, and agile culture where every voice matters. Our flexible working arrangements support work life balance, alongside strong investment in professional development and career growth within a world class analytics community.
Salary InformationPay is based on relevant experience, skills for the role, and location. Salary is only one part of our total reward package.
About YouAs Lead Data Scientist, you will
- Lead high-impact analytics delivery:
Own the design and implementation of predictive models and advanced analytics, ensuring outputs are robust, production-ready, and deliver measurable business value. - Provide technical leadership:
Set standards for modelling, experimentation, and deployment while acting as a senior authority and mentor to data scientists. - Translate business needs into solutions:
Partner with stakeholders to turn strategic objectives into clear analytical approaches, balancing performance, explainability, and practicality. - Drive insight through data & experimentation:
Lead exploratory analysis, prototype development, and evaluation of modelling approaches, communicating findings to both technical and non-technical audiences. - Ensure governance, quality & compliance:
Maintain high standards across code, documentation, validation, and model risk management, ensuring all solutions meet regulatory and internal requirements. - Enable team growth & collaboration:
Coach and mentor team members, foster continuous improvement, and work closely with engineering and MLOps teams to ope rationalise scalable analytics solutions.
While we do not expect you to know everything from day one, the following experience will enable you to succeed in this role:
- Strong academic or equivalent experience: MSc/PhD in a quantitative discipline (e.g. Statistics, Computer Science, Applied Maths)
- Advanced technical skills:
Deep proficiency in Python and SQL, with experience using modern data tools and cloud platforms such as AzureML. - Proven delivery experience:
Track record of building and deploying predictive models and advanced analytics solutions in production environments. - End-to-end analytics expertise:
Strong understanding of the full data science lifecycle, from data preparation and modelling to deployment and monitoring. - Data & problem-solving capability:
Skilled at working with complex, multi-source datasets and overcoming data quality challenges. - Collaborative and communicative approach:
Excellent communicator able to explain complex concepts clearly, with experience in agile teams and a strong commitment to governance and responsible data use.
- Experience in general insurance, particularly commercial lines.
- Exposure to regulated or controlled environments requiring model governance and explainability.
- Practical experience applying Responsible AI principles.
Recognised and rewarded for a job well done, we have a range of flexible benefits for you to choose from- so you can pick a package that’s perfect for you. We also offer flexible working options, global career opportunities across the wider Allianz Group, and fantastic career development and training. That’s on top of enjoying all the benefits you’d expect from the world’s number one insurance brand, including:
- Flexible buy/sell holiday options
- Hybrid working
- Annual performance related bonus
- Contributory pension scheme
- Development days
- A discount up to 50% on a range of insurance products including car, home and pet
- Retail discounts
- Volunteering days
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