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Senior Data Scientist

Job in Manchester, Greater Manchester, M9, England, UK
Listing for: 1st Central
Full Time position
Listed on 2026-02-20
Job specializations:
  • IT/Tech
    Data Analyst, Machine Learning/ ML Engineer, Data Scientist, AI Engineer
Job Description & How to Apply Below

Senior Data Scientist 1st Central
• Manchester, England, UK

We are 1st Central, a market‑leading insurance company utilising smart data and technology h has been based on giving our 1.4 million customers exactly what they want: great value insurance with an excellent service. And that’s the same for our colleagues too; we won Insurance Employer of the Year at the British Insurance Awards 2024 and our Glassdoor score is pretty mega too!

We’re looking for a Senior Data Scientist to join a team of data scientists and specialists focused on delivering a portfolio of innovative services that uncover and create value from the company’s extensive information assets.

In this role you’ll work both independently and collaboratively to apply data science techniques that drive meaningful outcomes. You’ll work with large and diverse datasets from multiple sources spanning both structured and unstructured formats. Using strong critical‑thinking and problem‑solving skills you’ll analyse and interpret data, build predictive models and develop machine learning algorithms that generate actionable insights.

You’ll propose solutions to business challenges and collaborate with other teams to implement them. Recognising the dependencies Group companies have on in‑house technology the Senior Data Scientist will work closely and seamlessly with the Group’s in‑house technology provider along with data presentation/delivery teams based across multiple locations.

This is a flexible hybrid role with occasional visits to our offices in Salford Quays (Manchester) or Haywards Heath (West Sussex) when required. For those based further afield we also welcome applications from remote UK‑based workers
. We offer excellent flexibility in working patterns and a company‑wide culture you can be proud to be part of.

Core Skills
  • Analytical & Technical Expertise: Proven analytical and statistical modelling skills
  • Technical

    Skills:

    Experience using Python
  • Machine Learning: Ability to build and train machine learning models
  • Professional

    Experience:

    Current Data Science experience with Insurance industry exposure being advantageous but not essential
  • Organisation & Time Management: Strong time‑management and organisational abilities
  • Education: Degree in Data Science or another quantitative field
What’s Involved
  • You’ll scope out and develop data services including deep learning predictive analytics and machine learning that help to solve business problems
  • You’ll perform data analysis and data collection processes that effectively support these services
  • You’ll continuously develop data sources through testing of external data
  • You’ll work individually and with team members, other teams and suppliers to deliver data science solutions. Review output of junior team members
  • You’ll help to identify opportunities across the organisation where data science can add value
  • You’ll adhere to good coding practices, work within existing risk controls, identify and report potential risks
  • You’ll comply with the requirements and act in accordance with the Group Code of Conduct and Fitness and Propriety policies at all times
  • You’ll ensure compliance with Company Policies, Values and guidelines and other relevant standards/regulations at all times
Experience & Knowledge
  • Proven experience in data science and data analysis
  • Good understanding of statistical techniques and their application including GLMs, decision trees, random forest, boosting, natural language processing, distributions, clustering, simulation and scenario analysis
  • Knowledge of data platforms and data processing including batch and real‑time automation
  • Knowledge of data structures and schemas, data preparation and cleansing
  • Experience of machine learning techniques and libraries
  • Knowledge of data science toolkits and languages such as R, Python, Scala
  • Experience of data exploration and visualisation tools
  • Good knowledge of data query languages such as SQL, HiveQL, scripting
  • Knowledge of data integration services and ETL
  • Analytical and problem‑solving aptitude
  • Understanding of a service‑based approach to professional services
  • Experience delivering through Agile change framework
Skills & Qualifications
  • Good communication skills
Position Requirements
10+ Years work experience
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