Senior Data Scientist in Manchester

Senior Data Scientist in Manchester

Manchester Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop innovative features from data to enhance pricing models and decision-making.
  • Company: Join AXA UK, a leader in insurance with a focus on analytics and transformation.
  • Benefits: Competitive salary, bonuses, pension scheme, private medical cover, and generous leave.
  • Why this job: Make a real impact by leveraging data to drive business success and innovation.
  • Qualifications: Strong skills in statistical modelling, R, Python, and financial analysis required.
  • Other info: Flexible working arrangements and excellent career growth opportunities await you.

The predicted salary is between 36000 - 60000 £ per year.

It’s an exciting time in our Pricing and Analytics department here at AXA UK. Our transformation programme has recently been relaunched, aligned to AXA Retail’s new Pricing and Analytics strategy. We’re investing a lot in growing our department in size and capability across our IT systems, analytical toolset and learning and development. We’d love to hear from motivated people who can help us deliver our commitments to our business, our customers, and our people.

Within AXA Retail we’re looking for a Senior Data Scientist. You’ll support initiatives that leverage internal data assets and innovative techniques to develop features and insights that enhance pricing models and strategic decision-making. You’ll be involved in exploring, experimenting with, and optimizing internal data to generate high-value features that improve model performance and business outcomes.

At AXA we work smart, empowering our people to balance their time between home and the office in a way that works best for them, their team and our customers. You’ll work at least two days a week (40%) away from home, moving to three days a week (60%) in the future. Away from home means either attendance at one of our office locations, visiting clients or attending industry events. We’re also happy to consider flexible working arrangements, which you can discuss with Talent Acquisition.

What you’ll be doing:

  • Assist in identifying and developing innovative features and insights from internal data sources to enhance business value.
  • Support the design, testing, and refinement of features derived from internal data.
  • Collaborate with data engineering teams to operationalize features within scalable production environments.
  • Maintain a good understanding of internal data assets, ensuring quality, consistency, and accessibility.
  • Contribute to strategies for data cataloguing, lineage, and documentation to support exploration and reuse.
  • Work with IT and data platform teams to help develop scalable, robust data pipelines.
  • Support the application of advanced analytical techniques (spatial analysis, text mining, interaction features) to uncover hidden value.
  • Partner with pricing, underwriting, claims, and fraud teams to understand data needs and communicate findings.

Due to the number of applications we expect to receive for this role, we reserve the right to close this advert earlier than the listed closing date to ensure we’re able to effectively manage interest. Therefore, if you’re interested in joining us at AXA, please don’t hesitate to apply.

What you’ll bring:

  • Strong statistical modelling, data manipulation and financial analysis skills.
  • Proficient in open-source predictive analytics software such as R and Python for advanced data analysis.
  • Ability to work effectively under pressure, meet strict deadlines, and maintain high levels of accuracy and reliability.
  • Proven ability to plan and prioritise own work.
  • Excellent numerical and mathematical skills, with a degree in a related discipline or equivalent proficiency.
  • Detailed understanding of appropriate statistical techniques for insurance risk analysis and demand pricing.
  • Ability to grasp the significance and meaning of a range of technical and complex issues relating to underwriting, claims handling, pricing, reserving and financial analysis of insurance.

As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom.

What we offer:

At AXA UK, we’re appreciative of the people who work for us and our rewards package is reviewed regularly to reflect that. You can expect to receive:

  • Competitive annual salary dependent on experience.
  • Annual company & performance-based bonus.
  • Contributory pension scheme (up to 12% employer contributions).
  • Life Assurance (up to 10 x annual salary).
  • Private medical cover.
  • 25 days annual leave plus.

Senior Data Scientist in Manchester employer: AXA Group

AXA UK is an exceptional employer that prioritises the growth and development of its employees within a dynamic and innovative environment. With a strong focus on work-life balance, flexible working arrangements, and a commitment to investing in advanced analytical capabilities, AXA empowers its Senior Data Scientists to make meaningful contributions while enjoying a supportive culture that values collaboration and personal development. The comprehensive benefits package, including competitive salaries, performance bonuses, and generous leave, further enhances the appeal of joining our team.
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Contact Detail:

AXA Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Scientist in Manchester

✨Network Like a Pro

Get out there and connect with people in the industry! Attend meetups, webinars, or even industry events. The more you engage with others, the better your chances of landing that Senior Data Scientist role at AXA.

✨Show Off Your Skills

When you get the chance to chat with potential employers, make sure to highlight your experience with R and Python. Share specific examples of how you've used these tools to solve real-world problems, especially in pricing and analytics.

✨Ask Smart Questions

During interviews or networking chats, don’t just wait for them to ask you questions. Prepare some insightful ones about their data strategies or challenges they face. This shows you're genuinely interested and have done your homework!

✨Apply Through Our Website

Don’t forget to apply directly through the AXA website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re proactive and really want to be part of the team.

We think you need these skills to ace Senior Data Scientist in Manchester

Statistical Modelling
Data Manipulation
Financial Analysis
R
Python
Predictive Analytics
Data Pipeline Development
Spatial Analysis
Text Mining
Collaboration with Data Engineering Teams
Data Quality Assurance
Statistical Techniques for Insurance Risk Analysis
Numerical and Mathematical Skills
Ability to Work Under Pressure
Planning and Prioritisation

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with statistical modelling and data manipulation, and don’t forget to mention your proficiency in R and Python. We want to see how your skills align with what we’re looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our Pricing and Analytics department. Be specific about your past experiences and how they relate to the job description.

Showcase Your Projects: If you’ve worked on any relevant projects, make sure to include them in your application. Whether it’s a personal project or something from a previous job, we love seeing how you’ve applied your analytical skills to real-world problems.

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Don’t miss out on this opportunity to join AXA!

How to prepare for a job interview at AXA Group

✨Know Your Data Inside Out

Make sure you’re well-versed in the internal data assets that AXA uses. Brush up on how these data sources can enhance pricing models and decision-making. Being able to discuss specific examples of how you've leveraged data in past projects will show your expertise.

✨Showcase Your Technical Skills

Be prepared to demonstrate your proficiency in R and Python during the interview. You might be asked to solve a problem or explain your approach to data manipulation and statistical modelling. Bring examples of your work or projects that highlight your analytical skills.

✨Understand the Business Context

Familiarise yourself with AXA's Pricing and Analytics strategy. Understand how your role as a Senior Data Scientist fits into the bigger picture. This will help you articulate how you can contribute to their transformation programme and support their business goals.

✨Prepare for Collaboration Questions

Since you'll be working closely with various teams, think about your past experiences collaborating with others. Be ready to discuss how you’ve partnered with different departments, like pricing or underwriting, to meet data needs and communicate findings effectively.

Senior Data Scientist in Manchester
AXA Group
Location: Manchester

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