Netrolynx AI
Data Scientist
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About The Company
Harnham - Data & Analytics Recruitment is a leading specialist recruitment agency dedicated to connecting top-tier data professionals with innovative organizations across various industries. With a strong reputation for excellence, Harnham has been supporting clients in leveraging data-driven solutions to achieve strategic objectives. Our expertise spans data science, analytics, engineering, and AI, ensuring we match talented individuals with roles that foster growth, innovation, and impactful contributions. We pride ourselves on understanding the unique needs of each client and candidate, providing tailored recruitment solutions that drive success in the rapidly evolving data landscape.
About The Role
We are partnering exclusively with one of the UK's foremost digital insurance companies to recruit for the position of Senior Data Scientist within their highly regarded Alternative Pricing Product (APP) team. This role offers a unique opportunity to work in a cutting-edge environment focused on transforming insurance pricing through advanced data science techniques. As a Senior Data Scientist, you will be instrumental in developing innovative models that challenge traditional pricing approaches, utilizing large and complex datasets, and applying state-of-the-art machine learning methodologies. This position is ideal for a passionate data professional eager to influence commercial strategies and contribute to the company's ongoing digital transformation.
Qualifications
The ideal candidate will possess a strong foundation in data science and analytics, with proven experience in developing predictive models and working with complex datasets. Essential qualifications include proficiency in Python and SQL, along with a solid understanding of machine learning algorithms and their application in a commercial setting. Candidates should have experience in predictive modelling, solving complex business problems through data, and mentoring junior team members. Exposure to model deployment, cloud platforms such as Azure, and geospatial or graph-based modelling is advantageous but not mandatory. A background in insurance, financial services, gaming, or other digital-first industries will be highly regarded.
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Responsibilities
- Design and build advanced predictive machine learning models utilizing large, complex datasets to enhance insurance pricing strategies.
- Develop innovative pricing models and customer segmentation techniques to optimize profitability and customer experience.
- Create footprint (geospatial) models by integrating alternative data sources to improve geographic insights.
- Develop residual models aimed at refining claims prediction accuracy and reducing underwriting risk.
- Explore and evaluate novel datasets to enhance model performance and pricing accuracy.
- Transform existing V1 models into production-ready V2 solutions, ensuring robustness and scalability.
- Collaborate closely with Pricing, Data Science, and Engineering teams to align model development with business objectives.
- Mentor and support a Graduate Data Scientist, guiding them through project lifecycle from conception to deployment.
- Participate in cross-functional initiatives to integrate data science solutions into broader business processes.
Benefits
- Competitive salary up to £75,000, with exceptional candidates potentially earning up to £80,000.
- £5,000 annual car allowance to support mobility needs.
- Performance-based bonus scheme targeting 10%, with potential to reach 20%.
- Flexible hybrid working model, requiring just one day per week in the office.
- Choice of office locations in London, Leicester, or Bexhill, with fully expensed monthly travel to London.
- Private Medical Insurance to support your health and wellbeing.
- 10% matched pension scheme to help secure your financial future.
- Generous annual leave entitlement of 27 days plus bank holidays, with options to buy or sell up to 5 days.
- Life Assurance and Income Protection for peace of mind.
- Comprehensive Health & Wellbeing package, including optional dental cover.
- Discounts on company products and various employee benefits designed to enhance work-life balance.
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Interview Process
- An initial 30-minute introductory conversation with the Hiring Manager to discuss your background and interest.
- A take-home case study assessment, followed by a 20-minute presentation and technical discussion to evaluate your technical skills and problem-solving approach.
- Final leadership and team-fit interview to assess cultural alignment and your potential contribution to the team.
How to Apply
Interested candidates are encouraged to register their interest by submitting their CV to Max Beadle at Harnham - Data & Analytics Recruitment via the Apply link provided on this page. We look forward to reviewing your application and exploring how your expertise can contribute to our client's innovative projects.
Equal Opportunity
Harnham is committed to fostering an inclusive environment where all individuals are treated with respect and fairness. We are an equal opportunity employer and welcome applications from candidates of all backgrounds, regardless of race, gender, age, disability, sexual orientation, religion, or any other characteristic protected by law. We believe diversity drives innovation and are dedicated to creating a workplace that reflects the communities we serve.
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