Job Title: Data Scientist
Location: Leicester / Bexhill / London / Hybrid
We are unable to offer sponsorship for this position.
Job Details
- Develop best in-class ML models to predict claims outcomes, fraud and other risk KPIs.
- Work with ML Engineers to deploy ML models.
- Monitor deployed ML models and link performance to commercial value KPIs.
- Present your work to Operational and Commercial stakeholders.
- Explore new technologies and contribute to setting team’s best practices.
Skills we would love you to have
- Proficiency in Python and experience with ML libraries for building and deploying machine learning solutions in cloud environments.
- Ability to think commercially and link ML model performance to commercial KPIs.
- Experience using structured query languages (SQL).
- Keen interest in emerging new ML techniques and their commercial value.
- Ability to communicate across teams of Data Scientists, Data Engineers, ML Engineers, Operational and Commercial stakeholders.
The interview process
- Recruiter screening call
- Intro with Hiring Manager
- Interview with hiring team – Case study
Benefits
Flexible working – hybrid approach – please speak to your recruiter to discuss details.
Competitive bonus scheme – all colleagues eligible for annual 4Cs performance bonus.
Financial wellbeing – 4x salary with life assurance cover, income protection at no extra cost, matched pension contributions up to 10%, award‑winning package with discounts, cashback, free independent mortgage advice, and free access to financial wellbeing support.
Mental wellbeing programme – thrive mental health app, colleague assistance programme 24/7, in‑house mental health first aiders, support groups and dedicated team to address needs.
25 days annual leave + bank holidays, option to buy/sell a week, healthcare cashback plans, dental plans, discounted health assessments, cycle‑to‑work and tech schemes, discounted and free onsite facilities, social events throughout the year.
Equal Opportunities
Hastings Group is an equal opportunities employer. We welcome applications from all suitably skilled persons regardless of gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status. Thorough referencing process includes credit and criminal record checks. We are committed to an inclusive environment – reasonable adjustments are available upon request.
