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Allianz Personal have 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 out fully operational machine learning products to solve the problems at the core 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 be involved in the development of new and innovative tools and techniques for use across the team 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 the business, challenges, and their needs. You’ll have the opportunity to rotate to other teams throughout the year to enable strong relationships with business areas, whilst giving our team the opportunity to develop through exposure of 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 within the team, 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 version control using Git.
- Able to deliver projects and articulate technical concepts to non‑technical audiences.
- Innovative and willing to seek creative solutions that improve on conventional approach.
- Committed to continual improvement in your technical skills over the lifetime of your 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.
Don't meet every single requirement? – We are dedicated to building a diverse, inclusive and authentic workplace. If you're excited about this role, but your past experience doesn't align exactly with every qualification in the job description, we would still encourage you to apply. You might still be the right candidate for this or other roles.
What We Will Offer You
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
Our Hiring Process
We value your time and want to ensure a smooth and transparent hiring process. Here’s what you can expect:
- 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 get to know us and ask any questions you might have. We prefer to do this interview in person, but if this presents any difficulties for you, please let us know and we can arrange this virtually.
Following the interviews, we will make our final decision and notify all candidates, providing feedback to all candidates who have been interviewed.
Our Ways of Working
Do you need flexibility with the hours you work? Let us know as part of your application and if it’s right for our customers, our business and for you, then we’ll do everything we can to make it happen. Here at Allianz, we are signatories of the ABIs flexible working charter. We believe in supporting hybrid work patterns, which balance the needs of our customers, with your personal circumstances and our business requirements. Our aim with this is to help innovation, creativity, and you to thrive - your work life balance is important to us.
Diversity & Inclusion
At Allianz, we prioritise diversity and inclusion, demonstrated by our numerous accreditations: EDGE certified for gender inclusion, Women in Finance Charter members, Disability Confident employer, Stonewall Diversity Champion, Business in the Community’s Race at Work Charter signatories, and Armed Forces Covenant gold standard employer. We embrace neurodiversity and welcome applications from neurodivergent and disabled candidates, offering tailored adjustments to ensure your success. We encourage our employees to advocate for their needs, whether it’s assistive technology, ergonomic equipment, mentoring, coaching, or flexible work arrangements.
Accessible Application for All
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 for the role. Contact our Resourcing team to opt into this scheme or for assistance with your application, including larger text, hard copies, or spoken applications.
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