Data Scientist Jobs

Experts who transform raw data into actionable insights. A core role in the data-driven decision-making process of modern organisations.

Open roles

• 85
• Salary range: £30k – £150k
• Hiring companies: 41

Data Scientists are the linchpins of data-driven organisations, transforming vast amounts of raw data into meaningful insights that inform strategic decisions. They work across a range of industries, from finance and healthcare to retail and technology, using statistical models, machine learning, and data visualisation to uncover patterns and trends. Whether in a startup or a large corporation, Data Scientists play a crucial role in driving innovation and optimising business performance.

Inside the role of a Data Scientist

A typical week for a Data Scientist is a mix of data exploration, model building, and stakeholder communication.

1. Analyse large datasets to identify patterns and trends.
2. Develop and validate statistical models and algorithms.
3. Collaborate with cross-functional teams to understand business needs.
4. Present findings and recommendations to stakeholders.
5. Document and maintain data pipelines and models.
6. Stay updated with the latest research and tools in data science.

Salary on the board

• £30k – £150k
  Based on advertised midpoints across the 84 priced listings posted in the last 12 months. Base salary only.

By seniority

What hiring managers ask for

From Junior to Principal

A typical UK progression for data scientists. Years are guidance — strong people move faster, and many senior folks sidestep into research, product, or management.

1. Junior Data Scientist
   0–2 yrs: Assist in data collection and cleaning, and support more senior team members in model development and analysis.

2. Data Scientist
   2–5 yrs: Own specific projects, develop and validate models, and communicate insights to stakeholders.

3. Senior Data Scientist
   5–8 yrs: Lead complex projects, mentor junior team members, and influence strategic decisions with data-driven insights.

4. Principal Data Scientist
   8+ yrs: Drive the overall data strategy, lead a team of data scientists, and collaborate with C-level executives.

How to become a Data Scientist

There's no single route, but most people follow some version of these steps.

1. Acquire foundational skills: Gain a strong understanding of statistics, programming, and data manipulation. Complete relevant courses or a degree in a quantitative field.
2. Build a portfolio: Work on personal or open-source projects to build a portfolio that showcases your data science skills and expertise.
3. Gain practical experience: Secure internships or entry-level roles to gain hands-on experience in a professional setting. Learn to work with real-world data and business challenges.
4. Specialise in a domain: Choose a specific industry or domain, such as healthcare or finance, and deepen your knowledge and skills in that area.
5. Lead projects and teams: Take on leadership roles, manage projects, and mentor junior team members. Develop your communication and management skills.
6. Influence strategic decisions: Collaborate with C-level executives to drive the organisation's data strategy. Influence key business decisions with data-driven insights.

85 live roles

Data Scientist Roles

1. Experis
   This role involves leading exploratory data analysis and supporting the development of high-quality dashboards and reporting products for a new digital screening service. You will work within an Agile team, collaborating with Data Engineers, Analysts, and UCD professionals to deliver robust, data-driven insights and scalable data solutions.
   Location: London, United Kingdom
   Salary: £560 pd
   Type: Hybrid, Contract, Flexible

2. Faculty AI
   As a Data Scientist, you will work closely with clients and cross-functional teams to define project scope, ensure technical feasibility, and deliver bespoke data science solutions. You will design and implement algorithms and software architectures, build strong client relationships, and contribute to Faculty's thought leadership through teaching and public speaking.
   Location: London, United Kingdom
   Type: Hybrid, Permanent, Clearance Required

3. Belcan
   This role involves developing and maintaining data pipelines, cleansing and validating large datasets, and supporting data governance and business analysis. You will work closely with key initiatives in a complex engineering environment, focusing on data-driven decision-making and process improvements.
   Location: Larne, County Antrim, United Kingdom
   Type: On-site, Contract

4. Yolk Recruitment
   Involves developing scalable ML and AI solutions across compliance, risk and contractor analytics platforms.
   Location: Cardiff, South Glamorgan, CF10 2AF, United Kingdom
   Salary: £60,000 – £70,000 pa

5. Square One Resources
   This role involves conducting statistical analysis to support product strategy decisions, including credit application assessments, financial and risk analysis, and product-related analysis.
   Location: Cardiff, South Glamorgan, CF10 2AF, United Kingdom
   Salary: £500 – £560 pd, On-site, Contract

6. Computer Futures
   Building and improving predictive models for credit risk and customer analytics, working with large datasets, and communicating insights to non-technical stakeholders. Location: Cardiff, South Glamorgan, CF10 2AF, United Kingdom
   Salary: £490 pd, Hybrid, Contract, Flexible

7. Guidant Global
   Hands-on data science work, contributing to the design, analysis, and build of solutions for real business problems.
   Location: London, United Kingdom
   Salary: £600 – £850 pd, On-site, Contract, Clearance Required

8. Entech Technical Solutions
   Developing and maintaining ETL pipelines, managing data quality, and supporting KPI reporting and analytics. Location: Larne, County Antrim, United Kingdom
   Salary: £44 ph, On-site, Contract

Common questions

• What skills are essential for a Data Scientist?
  Essential skills include strong statistical knowledge, programming proficiency (Python, R), data manipulation, and communication skills.
• How do I transition into a Data Scientist role?
  Gain relevant skills through courses or a degree, build a portfolio, and seek internships or entry-level roles to gain practical experience.
• What is the typical career progression for a Data Scientist?
  The typical progression is from Junior Data Scientist to Data Scientist, Senior Data Scientist, and finally Principal Data Scientist.
• What are the key responsibilities of a Data Scientist?
  Key responsibilities include data analysis, model development, stakeholder communication, and staying updated with the latest research and tools.
• What is the salary range for Data Scientists?
  Salaries vary based on experience and location. For more detailed salary information, please refer to the salary section on this page.