Data Scientist

Reposted 8 Hours Ago
Be an Early Applicant
3 Locations
In-Office
Mid level
Big Data • Insurance • Analytics
The Role
Develop ML models to predict claims outcomes and fraud, collaborate with ML Engineers, monitor model performance against commercial KPIs, and present findings to stakeholders.
Summary Generated by Built In

Job Title: Data Scientist

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:

Our interview process involves the below: 

  • Recruiter screening call 

  • Intro with Hiring manager

  • Interview with hiring team – Case study

As a Disability Confident employer, we’re committed to ensuring our recruitment processes are fully inclusive – what this means to you is if you’re applying for a job with us, you’ll have fair access to support and adjustments throughout your recruitment journey. We also welcome applications through the Disability Confident Scheme (DCS).For more information on the DCS, please visit our inclusive business page on our career's website

Benefits: In addition to a competitive salary, you will also receive…

Flexible working – we champion a flexible hybrid working approach – please speak to your recruiter to discuss in more detail

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%, we are proud to provide you with an award-winning package which includes – discounts, cashback, free independent mortgage advice and free access to financial wellbeing support

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

There's more! – 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. Our 4Cs principles are simple: we believe by creating the right culture for our colleagues and giving them the right tools to do their job, we’ll deliver good outcomes for every customer, helping us to grow the company profitably and sustainably and allowing us to invest in the communities we serve.

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. Please also note that we have a thorough referencing process, which includes credit and criminal record checks.

At Hastings Direct, we’re committed to creating an inclusive environment where everyone has the opportunity to succeed. If you require any reasonable adjustments during the recruitment process, we encourage you to be open with us. Our recruitment team is here to provide the support you need to ensure a fair and accessible experience for all.

Job posting end date:

Skills Required

  • Proficiency in Python
  • Experience with ML libraries for building ML solutions
  • Experience deploying ML models in cloud environments
  • Ability to use structured query languages (SQL)
  • Ability to link ML model performance to commercial KPIs
  • Ability to communicate across teams
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The Company
3,400 Employees
Year Founded: 1996

What We Do

Hastings Direct is a UK-based general insurance provider offering car, van, bike, and home insurance products. The company utilizes a digital-first, data-led approach to provide competitive insurance services to its customers.

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