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A leading insurance company is seeking an Experienced Data Scientist to join their Underwriting team. You will apply data science techniques to uncover insights from extensive datasets and develop predictive models. This role offers flexibility to work remotely or from offices in Manchester or Haywards Heath. Ideal candidates will have a strong background in Python and machine learning, with an emphasis on continuous improvement and innovation.
Location: Haywards Heath, Home Office (Remote) or Manchester
Salary: £45,000 - £55,000 depending on experience
Department: Underwriting
We’re 1st Central, a market-leading insurance company utilizing smart data and technology at pace. Our rapid growth is based on providing our 1.4 million customers with great value insurance and excellent service. We were awarded Insurance Employer of the Year at the British Insurance Awards 2024, and our Glassdoor score is impressive!
We are seeking an Experienced Data Scientist with a passion for Python and machine learning. The ideal candidate will have a proven track record of building and training models to solve real-world problems. Experience in the Insurance industry or with Databricks is a bonus but not essential.
The role of Senior Data Scientist is within our Underwriting team, and can be based remotely or at our offices in Salford Quays, Manchester or Haywards Heath, West Sussex.
You will collaborate with Data Scientists and specialists to deliver innovative services by discovering and creating value from our extensive data assets. Your focus will be on applying data science techniques individually and collaboratively to generate actionable insights.
Responsibilities include working with large, diverse datasets, developing predictive models, and implementing machine learning algorithms to address business challenges. You will work closely with in-house technology teams and data presentation teams across multiple locations.
We value continuous improvement and encourage sharing ideas to enhance our methods and team knowledge.
Core skills required:
Optional but advantageous skills:
Key activities:
Experience & knowledge:
Behaviours:
If you're ready for a challenge and want to join our vibrant team, we want to hear from you!
We prioritize our people and offer an energetic, supportive, and inspiring workplace. Check out our perks and benefits [here].
Our Talent team is available to provide more information about this opportunity. We are open to discussing flexible working arrangements during the recruitment process.
As part of our Women in Finance Charter pledge, we aim to have 30% women in leadership roles by the end of 2023.