Senior Data Scientist

First Central Services
Salford
3 weeks ago
Create job alert

We’re 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 we’re looking for to succeed in the role:

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

If you’ve worked in Data Science, and have experience in the insurance industry or with Databricks, both a bonus but not essential — why not apply today? This is just the beginning. Imagine where you could go next. The journey is yours to shape.


What can we do for you?

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, 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.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

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.

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

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.