Data Scientist - Fraud

Data Scientist - Fraud

Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
PVH (Tommy Hilfiger/Calvin Klein)

At a Glance

  • Tasks: Develop ML models to predict claims outcomes and fraud, linking performance to commercial value.
  • Company: Join Hastings Direct, a leading digital insurance provider with a focus on innovation.
  • Benefits: Enjoy flexible working, competitive bonuses, and a comprehensive wellbeing programme.
  • Other info: Be part of a diverse team that values curiosity and collaboration.
  • Why this job: Make a real impact in the insurance industry by driving meaningful change through data.
  • Qualifications: Proficiency in Python, experience with ML libraries, and strong communication skills.

The predicted salary is between 63000 - 77000 £ per year.

Location: Leicester / Bexhill / London / Hybrid

We are unable to offer sponsorship for this position.

Welcome to Hastings Direct. We're a digital insurance provider with ambitious plans to become the best and biggest in the UK market. We've made huge investments in our pricing and data capabilities over the past few years, along with nurturing our 4Cs culture.

We provide insurance for over four million customers, but we know there's even bigger opportunity out there - our Pricing, Data and Analytics community value curiosity, collaboration and constructive challenge. We are always looking for new ideas and diverse perspectives to question established thinking and drive meaningful change. Great pricing is built on trust, innovation and precision, so our aim is to ensure customers receive a fair and accurate price based on their individual risk, supporting fair outcomes, while delivering sustainable and profitable growth for our company.

Pricing is more than just a number - it's a strategic capability. At the heart of Hastings is deep risk insight - continually improving how we assess, segment and price risk through data and analytics.

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:

  • In addition to a competitive salary, you will also receive Flexible working - we champion a flexible hybrid working approach.
  • Competitive bonus scheme - all colleagues are eligible for our annual 4Cs performance bonus.
  • Financial wellbeing - as well as providing you with 4x your salary with our life assurance cover, income protection at no extra cost, and matched pension contributions up to 10%.
  • Mental wellbeing programme - we have the thrive mental health app, our colleague assistance programme available 24/7, our own in-house mental health first aiders, support groups and a dedicated team to make sure we are covering your needs.
  • 25 days annual leave + bank holidays, with the option to buy or sell one of your weeks, access to our health care cash back plans, dental plans, discounted health assessments, Cycle to work and tech schemes, discounted and free onsite facilities, social events throughout the year and much more.

Join us and you'll find a different way of doing things. We call it the 4Cs. We focus on getting it right for our colleagues, customers, company and community. As one of our colleagues, you'll be helping to drive our growth, so in return, we'll give you all the support, training and development you need.

Equal Opportunities & Diversity

Hastings Group is an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of their gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status.

As a Disability Confident employer, we're committed to ensuring our recruitment processes are fully inclusive.

Data Scientist - Fraud employer: PVH (Tommy Hilfiger/Calvin Klein)

Intapp is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the accounting and consulting sectors across EMEA. With a strong commitment to employee growth, Intapp provides ample opportunities for professional development and leadership coaching, ensuring that team members thrive in their careers while contributing to the company's strategic vision. The culture is built on accountability and high performance, making it an ideal place for those looking to make a significant impact in a rapidly evolving industry.

PVH (Tommy Hilfiger/Calvin Klein)

Contact Details:

PVH (Tommy Hilfiger/Calvin Klein) Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist - Fraud

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We think you need these skills to ace Data Scientist - Fraud

Proficiency in Python
Experience with ML libraries
Machine Learning model development
Cloud environments
Structured Query Languages (SQL)
Commercial thinking
Linking ML performance to commercial KPIs

Some tips for your application 🫡

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