Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Research Analyst

Portswood
9 months ago
Applications closed

Related Jobs

View all jobs

Quantitative Research Analyst - PIMCO

Quantitative Research Analyst

Quantitative Research Analyst

Quantitative Research Analyst

Quantitative Equity Research Analyst - Mason Blake

Quantitative Equity Research Analyst/Portfolio Manager

Data Research Analyst – Southampton – £32,000 - £45,000

VIQU have partnered with a fast growing SaaS and data analytics company who are looking to expand their current team and hire a data researcher / data analyst. The ideal candidate will ideally come from a STEM background, holding experience with data analysis techniques, scripting lannguages (Python/Pyspark/Pandas), and be comfortable communicating technical results to a wider audiance. 

This position requires you to be on site twice a week in their high tech Southampton office. You will be joining a team of high achievers, working within a rapidly emerging industry with exposure to a range of technologies.

Job duties of the Data Research Analyst:

Run and develop simulations and experiments, utilising scripting languages to do so. 
Utilising a range of data analysis techniques.
Ensuring validity of data, communicating your research internally, helping tio intergrate the research to the analytics team.
Managing end to end research projects, using scientific processes.
Staying up to date with relevant research within the industry.
Requirements for the Data Research Analyst:

Must hold a STEM degree or equivalent experience within a similar role.
Must hold at least a years professional experience with Python/Pyspark/Pandas. 
Strong understanding of data manipulation, analysis and processing.
Previous experience assessing data quality and utilising data for research.
Must have a desire to learn new data and research processes.  
Data Research Analyst – Southampton – £32,000 - £45,000

To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact Jack Mcmanus, by exploring the VIQU IT Recruitment website.

If you know someone who would be ideal for this role, by way of showing our appreciation, VIQU is offering an introduction fee up to £1,000 once your referral has successfully started work with our client (terms apply).

To be the first to hear about other exciting opportunities, technology, and recruitment news, please also follow us at ‘VIQU IT Recruitment’ on LinkedIn, and Twitter: @VIQU_UK

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.