Senior Data Scientist
Allianz UK
- London, England, United Kingdom
- London, England, United Kingdom
À propos
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Overview Allianz Personal has a new opportunity for a Senior Data Scientist at one of our offices in London (Gracechurch Street), Bristol (University), or Bournemouth (Stour House). We build fully operational machine learning products to solve the core problems of our business. You will be involved in all aspects of these products, from liaising with business subject matter experts to model building, evaluation, and deployment. You will also engage in developing new and innovative tools and techniques through internal packages, innovation projects, and university research partnerships.
The team structure is composed of smaller, focused stream-aligned agile teams. Each team works with different business areas and subject matter experts to achieve a mutual understanding of business challenges and needs. You’ll have the opportunity to rotate to other teams throughout the year to develop strong relationships with business areas while exposing the team to new data challenges and domain-knowledge problems.
Salary information Pay: Circa £55,000 per year. Pay is based on relevant experience, skills for the role, and location. Salary is only one part of our total reward package.
Your Focus
Conceive and develop machine learning solutions to address complex business challenges, collaborating closely with cross-functional teams to define project goals, scope, and deliverables.
Take ownership of the deployment of solutions into production environments, continuously monitoring and maintaining models to ensure robust performance and reliability.
Establish and propagate best practices within the team, including coding standards, version control and documentation. Conduct thorough code reviews ensuring team best practice is met and provide guidance to junior data scientists, fostering their development.
Stay up to date with the latest advancements in data science. Drive innovation by applying new techniques, tools and methodologies to solve business problems.
Communicate complex data science concepts and insights to technical and non-technical stakeholders in a clear and actionable manner.
Ensure strong ethical underpinnings of all analytics solutions developed, driving good outcomes for customers.
Essential Skills
2+ years of experience as a Data Scientist or similar data-oriented role in a commercial setup.
Advanced proficiency in Python and its associated data science libraries with experience writing clean, well-documented, and unit-tested code.
Strong foundation with a variety of machine learning models, including but not limited to gradient boosted models, generalized linear models and large language models.
Hands‑on knowledge deploying production‑ready solutions ensuring robustness, scalability, and alignment with business goals.
Demonstrated experience reviewing the work of colleagues and using version control with Git.
Able to deliver projects and articulate technical concepts to non‑technical audiences.
Innovative and willing to seek creative solutions that improve on conventional approaches.
Committed to continual improvement in technical skills throughout one’s career.
Strong collaborative mindset with the ability to foster a positive and inclusive team environment.
Desirable Skills
A degree in Data Science, Mathematics, Computer Science or another quantitative discipline.
Experience working in the insurance or financial services sector.
Experience mentoring and guiding junior team members.
Familiarity with agile ways of working and tools such as Jira.
Experience using cloud technologies including Databricks, Kubernetes and API frameworks. Azure is preferable, but AWS, GCP or similar experience is welcome.
Benefits
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.
Hiring Process
Application review: after the application deadline we will carefully review all CVs.
Technical interview: candidates who pass the initial review stage will be invited to a virtual 90‑minute technical interview to assess their data science skills relevant to the role. Note this assessment won’t involve writing any programming code.
Non‑technical interview: successful candidates will be invited to a 90‑minute non‑technical interview. This is an opportunity for us to get to know you better, discuss how you fit our company culture and for you to ask any questions you might have. We prefer to do this interview in person, but if this presents any difficulties for you we can arrange it virtually.
Final decision and notification of all candidates, providing feedback to those interviewed.
Ways of Working Do you need flexibility with the hours you work? Let us know as part of your application and we’ll do everything we can to make it happen. At Allianz we support hybrid work patterns, balancing the needs of our customers, with your personal circumstances and our business requirements. Our aim is to help innovation, creativity, and you to thrive - your work‑life balance is important to us.
Diversity & Inclusion We prioritise diversity and inclusion, demonstrated by numerous accreditations including EDGE for gender inclusion, Women in Finance Charter membership, Disability Confident employment, Stonewall Diversity Champion, and Business in the Community’s Race at Work Charter signatory. We welcome applications from neurodivergent and disabled candidates, offering tailored adjustments. We encourage employees to advocate for needs such as assistive technology, ergonomic equipment, mentoring, coaching, or flexible arrangements.
Accessible Application As part of the Disability Confident Scheme, we support candidates with disabilities or long‑term health conditions through the Offer an Interview Scheme for those meeting the essential skills. Contact our Resourcing team to opt into this scheme or for assistance with your application, including larger text, hard copies, or spoken applications.
Hr‑recruitment@allianz.co.uk
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Compétences linguistiques
- English
Avis aux utilisateurs
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