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# Lead Data Scientist

- **Company:** Allianz
- **Location:** Guildford, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Cleansing, Python (Programming Language), SQL Databases, Information Technology, Machine Learning Operations
- **Published:** May 16, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=5984b4793327acaf

## About the Role

Do you have experience in SQL?, Do you have a Master's degree?, * 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.

Desirable Skills

 * Experience in general insurance, particularly commercial lines.
 * Exposure to regulated or controlled environments requiring model governance and explainability.
 * Practical experience applying Responsible AI principles.

## Description

* 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 operationalise scalable analytics solutions.

Essential Skills

While we do not expect you to know everything from day one, the following experience will enable you to succeed in this role


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