At a Glance
- Tasks: Join our Claims Analytics team to build automated solutions and derive insights from data.
- Company: AXA, a leader in insurance and financial services with a focus on innovation.
- Benefits: Flexible work arrangements, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with opportunities to work on multiple exciting projects.
- Why this job: Make a real impact by solving business problems with cutting-edge data science techniques.
- Qualifications: Masters+ in relevant fields and 3+ years of Data Science experience required.
The predicted salary is between 49500 - 60500 £ per year.
Description We are recruiting a Data Scientist with applied machine learning experience to join our Claims Analytics team.
This is an excellent opportunity to join a dedicated analytics team working on Claims and Fraud with multiple areas across the business.
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 majority of your week away from home.
Away from home means either attendance at one of our head office locations, visiting clients or attending industry events.
You will work in a team of data scientist data engineers and actuaries, while your main responsibilities will include: Build automated solutions for classification, entity recognition and extraction using Natural Language Processing or Image Processing techniques.
Contribute to the development of Gen AI use cases and applications for claims.
Build data pipelines using data science and machine learning techniques to solve business problems.
Maintain and improve existing data science pipelines.
Derive insights from analysis of large internal or external data sets and recommend potential business uses.
Interact with the business to understand their needs and requirements.
Prepare and deliver presentations and visualisations, making actionable and business focused recommendations for improvement.
Work collaboratively within the team and share best practices.
About You Masters+ in Statistics, Engineering, Mathematics or Computer Sciences. 3+ year's work experience in a Data Science role.
Proven experience using Python and Deep Learning required.
Experience with Gen AI and RAG required.
Ability to work on multiple projects at the same time.
Able to apply analytical problem solving, make recommendations, and implement improvements continuously in a dynamic environment.
Communicate clearly and concisely to both technical and non-technical audience.
Good understanding of machine learning models and data science process (feature engineering, modelling, etc.) required.
Proficient in using code or analytical tools for modelling, visualisation, data manipulation and processing.
Preferred
Experience: Experience using API frameworks to perform OCR or call LLMs Dealing with unstructured data Working in an MLOPS or agile environment (Sprints, Kanban, code versioning) Working with cloud service (Preferably Azure) This recruitment campaign will be used to support permanent, temporary and/or extension for any upcoming similar positions.
Benefits: Work From Home TPBN1_NI
Data Scientist II in Newtownabbey employer: AXA Insurance Ltd.
At AXA, we pride ourselves on being an excellent employer, offering a dynamic work culture that promotes flexibility and empowers our employees to achieve a healthy work-life balance. Our Belfast office is not only a hub for professional growth in the field of fraud investigation but also fosters a collaborative environment where your contributions are valued. With opportunities for continuous learning and development, you will be part of a team dedicated to delivering exceptional service while making a meaningful impact in the insurance industry.
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We think this is how you could land Data Scientist II in Newtownabbey
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We think you need these skills to ace Data Scientist II in Newtownabbey
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at AXA Insurance Ltd.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at AXA Insurance Ltd.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
