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For Companies At a Glance
- Tasks: Develop machine learning products and collaborate with experts to solve business challenges.
- Company: Join Allianz, the world's leading insurance brand, committed to innovation and diversity.
- Benefits: Enjoy flexible working, a competitive salary, and discounts on insurance products.
- Why this job: Be part of a dynamic team driving innovation in data science with real-world impact.
- Qualifications: Experience in data science, proficiency in Python, and strong collaboration skills required.
- Other info: Hybrid role with options to work from London, Bristol, or Bournemouth.
The predicted salary is between 42000 - 84000 ÂŁ per year.
In this role, you will be at the forefront of developing fully operational machine learning products designed to address the core challenges of our business. Your involvement will span all aspects of these projects, including engaging with business subject matter experts, model building, evaluation, and deployment.
You will also contribute to the development of innovative tools and techniques for the team, leveraging internal packages, innovation projects, and university research partnerships. Our team is structured into smaller, focused stream-aligned agile teams, each collaborating with different business areas and subject matter experts to foster mutual understanding of the business, its challenges, and needs. You’ll have the opportunity to rotate to other teams throughout the year to build strong relationships with various business areas while providing opportunities for team members to develop through exposure to new data challenges and domain-specific problems.
This is a hybrid role, with options to work from our London, Bristol, or Bournemouth offices, with a requirement to be in the office for two days each month.
Salary Information
Pay: Circa ÂŁ60,000 per annum. Pay is based on relevant experience, skills for the role, and location. Salary is only one part of our total reward package.
About You
- Conceiving and developing machine learning solutions to address complex business challenges, collaborating closely with cross-functional teams to define project goals, scope, and deliverables.
- Taking ownership of the deployment of solutions into production environments, continuously monitoring and maintaining models to ensure robust performance and reliability.
- Establishing and propagating best practices within the team, including coding standards, version control, and documentation.
- Conducting thorough code reviews ensuring team best practice is met and providing guidance to junior data scientists within the team, fostering their development.
- Staying up to date with the latest advancements in data science.
- Driving innovation by applying new techniques, tools, and methodologies to solve business problems.
- Communicating complex data science concepts and insights to technical and non-technical stakeholders in a clear and actionable manner.
- Ensuring strong ethical underpinnings of all analytics solutions developed, driving good outcomes for customers.
Essential Skills
- Proven experience as a Data Scientist or similar role in a commercial environment, with proficiency in reviewing colleagues' work and using Git for version control.
- Expertise in Python and its associated data science libraries, with clean, well-documented, and unit-tested coding skills.
- Strong foundation with a variety of machine learning models, including but not limited to gradient boosted models, generalized linear models, and large language models.
- Experience deploying production-ready solutions that ensure robustness, scalability, and alignment with business goals.
- Ability to deliver projects and explain technical concepts to non-technical audiences.
- Ability to innovate by seeking creative solutions to enhance conventional methods, alongside a commitment to lifelong technical skill development.
- Strong collaborative mindset with the ability to foster a positive and inclusive team environment.
We support the government scheme “Access to Work” please feel free to ask us about the access to work scheme.
Desirable Skills
- Experience in the insurance or financial services sector.
- Ability to mentor and guide junior team members.
- Familiarity with agile methodologies and tools such as Jira.
- Proficiency using cloud technologies, such as Databricks, Kubernetes, and API frameworks. Azure experience is preferred, though AWS, GCP, or similar platforms are also appreciated.
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 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 prioritize 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.
For any inquiries or to submit your application, please contact: Deivydas Sakys
Closing date: 11 Jun 25. We reserve the right to close the advert early if we reach enough applications.
Join us - Let’s Care for Tomorrow.
Senior Data Scientist - Insurance employer: Allianz UK
Contact Detail:
Allianz UK Recruiting Team
Hr-recruitment@allianz.co.uk
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Insurance
✨Tip Number 1
Familiarise yourself with the latest machine learning techniques and tools relevant to the insurance sector. This will not only help you in interviews but also demonstrate your commitment to staying updated in a rapidly evolving field.
✨Tip Number 2
Network with professionals in the insurance and data science fields. Attend industry meetups or webinars to connect with potential colleagues and learn about the challenges they face, which can give you insights to discuss during your application process.
✨Tip Number 3
Prepare to discuss your experience with deploying machine learning models in production environments. Be ready to share specific examples of how you've ensured robustness and scalability in your previous projects.
✨Tip Number 4
Showcase your collaborative mindset by thinking of ways you can contribute to team dynamics. Consider how you can mentor junior data scientists or improve coding standards, as these qualities are highly valued in our agile teams.
We think you need these skills to ace Senior Data Scientist - Insurance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in machine learning and the insurance sector. Use specific examples of projects you've worked on that align with the job description.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills and experiences make you a perfect fit for developing machine learning products and collaborating with cross-functional teams.
Showcase Technical Skills: Clearly outline your proficiency in Python and relevant data science libraries. Mention any experience with cloud technologies and agile methodologies, as these are essential for the role.
Demonstrate Communication Skills: Highlight your ability to communicate complex data science concepts to both technical and non-technical stakeholders. Provide examples of how you've successfully done this in previous roles.
How to prepare for a job interview at Allianz UK
✨Showcase Your Machine Learning Expertise
Be prepared to discuss your experience with various machine learning models, especially those relevant to the insurance sector. Highlight specific projects where you've successfully deployed solutions and how they addressed business challenges.
✨Communicate Clearly with Stakeholders
Practice explaining complex data science concepts in simple terms. This role requires you to communicate effectively with both technical and non-technical stakeholders, so demonstrating this skill during the interview is crucial.
✨Demonstrate Collaboration Skills
Since the role involves working closely with cross-functional teams, be ready to share examples of how you've collaborated in past projects. Emphasise your ability to foster a positive team environment and mentor junior colleagues.
✨Stay Updated on Industry Trends
Show your passion for continuous learning by discussing recent advancements in data science and how they can be applied to the insurance industry. This will demonstrate your commitment to innovation and staying ahead in your field.
