Lead Data Scientist

AXA UK
Bristol
2 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Engineer

Lead Data Analyst

Data Scientist

Description

Are you passionate about turning data into actionable insights? Do you thrive on leading innovative projects that make a real difference? AXA Commercial is seeking a talented Lead Data Scientist to join our dynamic Commercial Data Science team. You'll be at the forefront of applying advanced analytics and artificial intelligence to create tangible value for our customers and the business. Your expertise will help shape data-driven strategies, optimise processes, and enhance customer experiences across the organisation.


As our Lead Data Scientist, you'll have the chance to collaborate with a skilled team of Data Scientists, Analysts, and Engineers, harnessing cutting‑edge tools like Azure Databricks to uncover insights and develop scalable solutions. This is an exciting opportunity to explore diverse datasets, solve complex use cases, and lead end‑to‑end projects that drive strategic decision‑making and operational excellence.


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:

  • Act as a technical leader in data science and AI, setting standards and guiding best practices.
  • Design, build, and productionise machine learning models and analytics products that deliver business value.
  • Collaborate with senior stakeholders to identify opportunities, define requirements, and translate business challenges into data‑driven solutions.
  • Oversee the performance and reliability of deployed models, ensuring continuous improvement and scalability.
  • Mentor and support junior Data Scientists, fostering a culture of learning and innovation.
  • Apply advanced techniques such as predictive modelling, generative AI, and statistical analysis to solve complex problems.
  • Work with cloud‑based platforms and tools such as Azure, Databricks, and ML services, to deliver robust solutions.
  • Ensure models are embedded into operational processes through MLOps best practices.
  • Communicate insights and recommendations effectively to technical and non‑technical audiences.

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:

  • Proven experience in delivering end‑to‑end data science projects, from ideation to production.
  • Strong technical expertise in machine learning, AI, and advanced analytics techniques.
  • Proficiency in Python, R, SQL, and familiarity with cloud and ML tools such as Azure, Databricks, and Vector DB.
  • Experience with MLOps and integrating models into production environments.
  • Ability to assess model performance and apply techniques like data mining, predictive modelling, and generative AI.
  • Skilled in stakeholder engagement and translating business needs into actionable solutions.
  • Collaborative mindset with the ability to mentor and guide junior team members.
  • Commitment to continuous learning and staying ahead of developments in the data science landscape.

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


What we offer:

  • 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
  • 28 days annual leave plus Bank Holidays
  • Opportunity to buy up to 5 extra days leave or sell up to 5 days leave
  • Wellbeing services & resources
  • AXA employee discounts

To apply, click on the ‘apply for this job’ button, you’ll then need to log in or create a profile to submit your CV. We’re proud to be an Equal Opportunities Employer and don’t discriminate against employees or potential employees based on protected characteristics. If you have a long‑term condition or disability and require adjustments during the application or interview process, we’re proud to offer access to the AXA Accessibility Concierge. For our support, please send an email to leanne.white@axa‑insurance.co.uk.
#LI-DNI


Who we are:

AXA Commercial protects businesses, from multinationals to micro start‑ups, giving them the confidence to thrive. We’re currently making our biggest ever investment to develop the expertise and skills we need to be the best. We’re a vibrant community where everyone is supported to learn, develop, and take ownership of their work.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.