Senior Data Scientist

1st Central
Manchester
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

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


We are 1st Central, a market‑leading insurance company utilising smart data and technology at pace. Rapid growth 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 both verbal and written
  • Good time management and organisation skills
  • Proven analytical and statistical modelling skills
  • Degree in Data Science or other quantitative field

Behaviours

  • Self‑motivated and enthusiastic with the desire to meet or exceed targets
  • Determined and passionate particularly regarding data and technology
  • A decision maker with an ability to work on own initiative or as part of a team
  • A flexible approach and positive attitude
  • Strives to drive business improvements contributing to the success of the business
  • An organised and proactive approach

What We Offer

People first. Always. We’re passionate about our colleagues and know the best people deserve an extraordinary working environment. We owe it to them so that’s what we offer. Our workplaces are energetic, inspirational and supportive. To get a taste of the advantages you’ll enjoy take a look at all our perks in full here.


Intrigued? Our Talent team can tell you everything you need to know about what we want and what we’re offering so feel free to get in touch.


Required Experience: Senior IC


Employment Type : Full‑Time


Vacancy: 1


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.