cover image
Exertis UK

Data Scientist

Hybrid

Basingstoke, United Kingdom

Full Time

13-03-2025

Job Specifications

Job description:
Are you passionate about turning data into actionable insights? Do you thrive on solving complex problems and building data-driven solutions that make a real difference? If so, we want you to join our team!
At Exertis, we’re on a mission to harness the power of data to drive smarter decisions and better business outcomes. As a Data Scientist, you’ll be at the forefront of analytics, machine learning, and data engineering—exploring patterns, developing models, and deploying solutions that shape our future. Working with cross-functional teams, you’ll translate raw data into strategic insights, ensuring our business stays ahead in a fast-moving industry.
If you're a curious, results-driven problem solver with a strong analytical mindset, this is your opportunity to make a real impact. Ready to take on the challenge? Apply today!
Salary: £40,000 to £55,000 dependent on experience
Location: Flexible with attendance at Basingstoke office at least twice per month
As part of the team, you’ll:
Engage with stakeholders across the business to define the problem by understanding the business need, identifying the data that is available and defining the success criteria
Develop a solution that uses data to solve the problem i.e. machine learning model, creating a data-driven dashboard or developing a new business process
Deploy the solution to production and make it available to users, including integrating the solution with existing systems, training users on how to use the solution and monitoring the solution to ensure that it is working properly
Explore data to get a better understanding, including looking at the distribution of data, identifying outliers and looking for patterns
Choose the right analytical techniques for specific problems, involving using statistical analysis, machine learning and data mining
Communicate insights to stakeholders in a clear and concise way by writing reports, giving presentations or creating dashboards
Why Join Exertis?
At Exertis, we believe that together, we can achieve more. Our inclusive culture celebrates diverse perspectives and encourages everyone to turn challenges into opportunities. You’ll have access to:
Tailored career development paths designed to help you thrive
Employee resource groups, including Women at Exertis, LGBTQIA+, Ethnicity and more
A vibrant and collaborative workplace where your voice matters
What We’re Looking For:
You’re someone who thrives in a fast-paced, results-driven environment. To excel in this role, you’ll bring:
Experience of working in a statistical/data science role
MSc or BSc degree from a quantitative field such as Engineering, Statistics, Mathematics, Computer Science or Finance
Strong problem-solving skills
Proficiency in Python plus knowledge of querying databases
Excellent stakeholder engagement skills plus the ability to communicate well both verbally and via written means
Your Rewards and Benefits:
We recognise and celebrate hard work at Exertis. When you join us, you’ll enjoy:
Competitive salary
5 weeks of annual leave + bank holidays and the option to purchase more
Paid time off for your birthday and volunteering opportunities
Comprehensive parental leave packages and well-being programmes
A supportive and inclusive environment where your growth is our priority
Flexible Work Options:
We value diversity and inclusion and champion a culture where everyone feels valued, included and celebrated. We’re open to discussing flexible work arrangements. If it’s right for our customers, our business and for you then we’ll do what we can to support it.
At Exertis we recognise that ways of working have changed, which is why we have adopted a flexible way of working in our offices. Many teams are now offering a mix of remote and office working that support business needs and individual circumstances.
Selection Process:
Our selection process is designed to help you showcase your skills and experience so we can thoroughly evaluate candidates. Once we receive your CV, our team will carefully review it to assess your suitability for the role. Shortlisted candidates will be invited to a telephone interview with our in-house recruitment team, providing an opportunity to discuss your experience and skills in more detail and find out more about Exertis. Following this, you may be asked to complete online testing to evaluate key competencies relevant to the position. Successful candidates will then proceed to selection process, which may be conducted online or in person, with the hiring manager.

About the Company

Exertis is the leading technology distributor of consumer, business and enterprise products from established and emerging technology brands, and a wholly owned subsidiary of parent company DCC plc. Exertis is proud to be part of DCC plc; a leading international sales, marketing and support services group operating in 23 countries, supplying products and services used by millions of people every day. Headquartered in Dublin, the Group operates across three sectors: energy, healthcare and technology, employing over 16,000 pe... Know more

Related Jobs

Company background Company brand
Company Name
Understanding Recruitment
Job Title
Founding AI Engineer
Job Description
Founding AI Engineer - LegalTech - London A fantastic opportunity for an experienced AI Engineer to join a YC-backed AI startup transforming how legal professionals work. What You'll Be Doing: Lead development of proprietary AI algorithms that push the boundaries of what's possible with large language models Build and optimise state-of-the-art evaluation pipelines for benchmarking AI performance Implement cutting-edge prompting techniques to maximise LLM effectiveness Work directly with founders and a talented team of engineers to ship features fast What The Role Will Entail: Expert-level Python programming Production ML/AI system development LLM prompt engineering and optimisation Full-stack development experience (TypeScript/React + backend) Clear technical communication and documentation Building scalable evaluation frameworks What's In It For You: Salary of £80,000-£120,000 dependent on experience Significant equity in a fast-growing startup Work with an exceptional team of engineers, researchers, and domain experts Opportunity to shape the future of AI in legal tech Fast-paced environment where you can make immediate impact Please note this role is 5 days a week on site. Apply now for immediate consideration!
London, United Kingdom
On site
Full Time
14-03-2025
Company background Company brand
Company Name
{DevLogic}
Job Title
Data Engineer
Job Description
DevLogic is hiring a Data Engineer for a growing tech-driven company in Manchester. This is a blended role, working across data engineering, MI (Management Information), and software development, giving you the opportunity to work with modern data stacks while contributing to both infrastructure and insights. You'll be working with AWS, SQL, Python, TypeScript, and Azure DevOps, helping to build scalable data pipelines, optimise reporting structures, and contribute to back-end development. If you’re looking for a hands-on role where you can make a real impact, this could be a great fit. What You’ll Be Doing: Building & Optimising Data Pipelines – Developing and maintaining efficient data pipelines using SQL, Python, and AWS. MI & Reporting – Designing management information (MI) solutions, ensuring data integrity and accessibility for business insights. Infrastructure & DevOps – Working with Azure DevOps to automate deployments, improve data workflows, and enhance system reliability. Blended Engineering Role – Combining data engineering with back-end development, utilising TypeScript and Python to enhance the platform’s functionality. Collaboration – Working closely with analysts, software engineers, and stakeholders to ensure seamless data integration and reporting. What We’re Looking For: Experience as a Data Engineer, with a background in data pipelines, ETL, and automation. Strong SQL skills – able to design and optimise queries for large datasets. Proficiency in Python & TypeScript – used for data processing and back-end development. AWS experience – working with services like S3, Redshift, Lambda, and Glue. Azure DevOps knowledge – for CI/CD, infrastructure as code, and workflow automation. Experience with MI solutions – understanding business intelligence, reporting, and data visualisation (Power BI, Tableau a plus). Why Apply? Blended role combining data engineering, MI, and software development. Work on modern cloud-based data pipelines in AWS. Have real influence over data strategy and automation. Collaborate with a talented team in an exciting growth environment. If you’re excited by the intersection of data engineering, MI, and cloud automation.
Manchester, United Kingdom
Hybrid
Full Time
13-03-2025
Company background Company brand
Company Name
Turner & Townsend
Job Title
Data Engineering Consultant
Job Description
Company Description At Turner & Townsend we’re passionate about making the difference. That means delivering better outcomes for our clients, helping our people to realize their potential, and doing our part to create a prosperous society. Every day we help our major global clients deliver ambitious and highly technical projects, in over 130 countries worldwide. Our team is dynamic, innovative, and client-focused, supported by an inclusive and fun company culture. Our clients value our proactive approach, depth of expertise, integrity and the quality we deliver. As a result, our people get to enjoy working on some of the most exciting projects in the world. Job Description Job Description Due to growing demand for our Infrastructure Digital - Data and Analytics services, we are seeking to recruit a data engineer with excellent technical knowledge of designing, building, and maintaining scalable data pipelines that will enable our clients to extract value from their data assets. The Role As Part Of The Role You Will Work with developers, managers, and business stakeholders to understand and define components of the data landscape and how it relates to the data strategy Understand and translate end-user requirements into designs and delivery plans for effective data solutions Design, develop, execute, and maintain highly automated data pipelines using cloud technologies Analyse and resolve data quality issues Build, maintain, and support data workflows and the necessary infrastructure as part of a data and analytics delivery team Identify opportunities for improvement and promote theses through the team Actively mentor and develop others in the team and inspire them through commitment and enthusiasm Foster and demonstrate an inclusive team culture focusing on service excellence and exceptional performance Take knowledge or experience and translate into new ideas or solutions Contribute to the development and maintenance of T&Ts documentation and processes Qualifications Skills required for this role are: Proven ability to work with with: Databricks Azure Data Factory Azure Data Lake Azure Synapse (and data warehousing approaches) or SSIS Azure Analysis Services Experience in programming languages such as: SQL Python Spark DAX A good understanding of Devops practices: CI/CD (Azure DevOps preferable) GIT and Version Control Exceptional communication skills, both written and verbal – able to translate complex technical subject matter into easily understood presentations and written documentation for mixed technical audiences. Desirable MLFlow and other MLOps / Machine Learning Engineering processes to support advanced analytical use cases Data modelling including Kimball Container technologies such as Kubernetes and Docker Experience translating designs of Azure data solutions into action Analysis/requirements gathering, solution design, and implementation of data platform and Azure technologies Experience in collaborating in multi-disciplinary teams, including software engineers, DevOps and infrastructure teams, data scientists etc. Additional Information Our inspired people share our vision and mission. We provide a great place to work, where each person has the opportunity and voice to affect change. We want our people to succeed both in work and life. To support this we promote a healthy, productive and flexible working environment that respects work-life balance. Turner & Townsend is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and actively encourage applications from all sectors of the community. Please find out more about us at www.turnerandtownsend.com/ #LI-VF1 SOX control responsibilities may be part of this role, which are to be adhered to where applicable. Join our social media conversations for more information about Turner & Townsend and our exciting future projects: Twitter Instagram LinkedIn It is strictly against Turner & Townsend policy for candidates to pay any fee in relation to our recruitment process. No recruitment agency working with Turner & Townsend will ask candidates to pay a fee at any time. Any unsolicited resumes/CVs submitted through our website or to Turner & Townsend personal e-mail accounts, are considered property of Turner & Townsend and are not subject to payment of agency fees. In order to be an authorised Recruitment Agency/Search Firm for Turner & Townsend, there must be a formal written agreement in place and the agency must be invited, by the Recruitment Team, to submit candidates for review.
London, United Kingdom
Hybrid
Full Time
13-03-2025
Company background Company brand
Company Name
Winston Fox
Job Title
Senior Data Engineer (Cross-Train to KDB+) – Quant Hedge Fund
Job Description
Senior Data Engineer with 5+ years’ experience, and 2+ years in a Hedge Fund and/or in Systematic Trading Technology, sought to join a market-leading Quantitative Hedge Fund. You will join a 5-strong Data Engineering team covering the ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack is similarly varied including a range of legacy and modern systems, across on-premises and cloud infrastructure with technologies and tooling such as Python, KDB+, Snowflake, SQL and interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset and MorningStar. This is an exciting time for you to join the team they consolidate our technology estate, revamp how they process and filter data, and overhaul the way data is accessed by their consumers, while continuing to onboard new datasets that enhance their strategies. They are a lean team owning end-to-end delivery from initial design through to operational support in production. This is also a rare opportunity to cross-train to work with KDB+. The firm work on a hybrid working schedule, with a minimum of three-days-per-week in the office, and are renowned for their friendly, supportive and collegiate culture, with an enviably low staff turnover. Requirements 5+ years working as a Data Engineer with 2+ years in Financial Markets Engineering, especially in a Hedge Fund, Trading Firm, and/or working with Quant Trading Technology Proficient in Python and SQL and familiarity with relational and time-series databases. Exposure to Snowflake or Databricks preferred. Experience implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset….) SDLC and DevOps: Git, Docker, Jenkins/TeamCity, monitoring, testing, agile practices. Passionate about code quality, data integrity, and building scalable and robust systems. Ability to communicate clearly with technical and non-technical colleagues. This is an incredible opportunity for a Data Engineer with 5+ years’ experience, to join a market-leading Quantitative Hedge Fund, with the added opportunity to cross-train into KDB+.
London, United Kingdom
Hybrid
Full Time
13-03-2025