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Data scientist

Eastleigh (Hampshire)
ZipRecruiter
Data scientist
€100,000 - €125,000 a year
Posted: 8 May
Offer description

Job Description

Job Title: Data Scientist

Location: Remote with quarterly travel to team events

Salary: Competitive/Dependent on Experience

Roles: Data Scientist (open to Data Scientists, Senior Data Scientists, and Lead/Principal Data Scientists)

Insurance is a dynamic industry, offering fantastic opportunities for Data Scientists to tackle a variety of challenges using diverse data sources, analytical, and modelling techniques. Ageas is a large Motor and Household insurer, playing a key role in helping people protect their lifestyles and livelihoods. We have extensive data and complex problems to solve.


Data Science at Ageas

Our Data Science team supports various business units to answer questions such as:

1. How can we identify fraudulent claims and disrupt organized crime?
2. What is the cost to repair a car after an accident or fix a home after weather events?
3. How can we leverage Deep Learning and Generative AI to maximize unstructured data potential?
4. How do external events and long-term trends impact our business and customers?
5. How can we better understand our customers to deliver tailored services?

We are investing in core capabilities—our people and technology—to stay competitive. Joining our Advanced Analytics and Data Science Team as a Data Scientist, you will be part of this strategic journey. We value diversity, innovation, and impactful work, with a respected team emphasizing thought leadership, responsible practices, and collaboration.


Leadership and Innovation

* Enhance insights by proactively questioning stakeholders and data
* Explain analytics and model predictions to build confidence
* Develop systems for broader application and greater returns
* Show thought leadership and identify opportunities aligned with our AI-first strategy
* Engage with senior leaders to understand challenges and opportunities
* Embrace innovative solutions through hackathons
* Communicate clearly about Data Science techniques
* Work closely with operational teams to deliver impactful solutions
* Approach work responsibly and ethically, managing risks


Who Are We Looking For?

We seek self-motivated individuals, whether recent graduates or experienced professionals, eager to learn and develop across multiple data science areas, including Generative AI. You will help drive innovation and interpret new techniques for the business.

Specifically, we are looking for:

* Creative thinkers with knowledge of core data science techniques (clustering, classification, regression) and initiative in solving complex problems
* Proficient coders with experience in Python and libraries like Pandas, NumPy, Scikit-Learn; experience with Deep Learning (PyTorch, Transformers) and GenAI is a plus
* Highly numerate problem-solvers with a Degree, Masters, or PhD in a relevant scientific or computational field
* Strong communicators capable of simplifying technical ideas for broader audiences
* Curious individuals willing to learn, revisit old problems, and tackle new challenges

Throughout your work, consider data ethics and responsible AI to ensure fair and safe outcomes for customers.


Benefits

At Ageas, we offer a wide range of benefits, supporting your well-being and work-life balance, contributing to our Top Employer status in the UK:

* Flexible working options, including part-time and job-sharing
* Minimum 31 days holiday, with options to buy or sell days
* Health support: Dental, Health Cash Plan, screenings, mental health support
* Financial benefits: Bonus schemes, salary reviews, pension, savings, loans
* Workplace support: Well-being activities, social events
* Additional perks: Partner insurance, tech discounts, return-to-work programs


About Ageas

We are one of the UK’s largest car and home insurers. Our inclusive culture encourages applications from all backgrounds. We are committed to diversity and inclusion, as evidenced by our memberships and charters. For more information, see Ageas Everyone.

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