Data Scientist

Hastings Group; City Of London; Hybrid; GBP 45,000 - 70,000; Full time

Job summary

A leading digital insurance provider in the UK is seeking a skilled Machine Learning Developer. You will develop ML models to predict claims outcomes and fraud, monitor models' commercial value links, and collaborate with various stakeholders. The ideal candidate will have strong Python proficiency, experience with ML libraries, and the ability to think commercially. This role offers a competitive salary and benefits including flexible working and health plans.

Benefits

Flexible working

Competitive bonus scheme

Life assurance cover

Income protection

Matched pension contributions up to 10%

Mental wellbeing program

25 days annual leave plus bank holidays

Qualifications

• Experience with building and deploying machine learning solutions in cloud environments.
• Ability to link ML model performance to commercial KPIs.

Responsibilities

• 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 the team's best practices.

Skills

Proficiency in Python

Experience with ML libraries

Experience using SQL

Ability to communicate across teams

Interest in emerging ML techniques

Job description

Responsibilities

• 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.

Qualifications

• 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.

Company and Benefits

We"re a digital insurance provider with a clear strategy to become the best and biggest player in the UK market. As a company, we"ve made huge investments in our technology, pricing, data and analytics capabilities over the past few years, along with nurturing our 4Cs culture and substantial investment in our people. And as a Finance team, we"re doing exactly the same - building a market leading finance technology platform, investing in our team and our approach to leadership development, with a real focus on commercially adding value to the business.

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 careers website.

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 - life assurance cover, income protection, matched pension contributions up to 10%, discounts, cashback, and other financial wellbeing support; Mental wellbeing programme with access to Thrive, colleague assistance programme, and in-house support; 25 days annual leave + bank holidays with option to buy/sell one week; health care and dental plans; Cycle to work and tech schemes; discounted and free onsite facilities and social events; and other perks.

Join us and you"ll find a different way of doing things. 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.