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

Apply Now

Data Scientist

Leicester
6 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Palantir

Data Scientist - Remote

Data Scientist Python Software - London (IT) / Freelance

Data Analyst
SQL / Python & PowerBI Dashboards essential
£21 - £21.50 FCSA Umbrella (inside IR35)
£15.60 - £16.00 paye
Nr to Leicester (around 15-20 mins from J21 Leicester Forest Junction M1)
Some Hybrid working available (Min 3 days pw in office)

May also suit Business Analyst with the correct software packages
 
We are currently looking for data analyst with good solid data platform knowledge – Python, R, SQL, Combined with Dashboard Creation in Power BI, Tableau or Alteryx & Strong Excel skills
Do you have experience of category data administration, Data / Process analysis & automation, confident using Excel & associated Programs
Are you able to develop intuitive dashboards & programs to aid automation & user efficiency?

We have an opportunity with a local company who are looking to source a person for a long term contract opportunity (min 12 months)
We require a Data Analyst.
 
The responsibilities and tasks for this job include the data analysis for all locations throughout this global business.
You will provide analysis and input of the data, whilst verifying the results in question and providing process improvements through automation when needed.
If you feel you can cover most of the below bullet point and can demonstrate experience of the opening points of this description we would love to hear from you.
Candidates will have gained the following skills and experience through previous roles:

Responsibilities

Directing the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models.
Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques.
Leading to define requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies.
Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.
Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.
Relevant experience of working within a data critical environment
An undergraduate degree from a college or university, or equivalent experience.
Confidence in creating reports, & updating databases within MS Excel, MS Access
Support analysis of data, business process, then development of standard work, automation of data flows and understanding stakeholder
Extensive experience of creating dashboards using most of the following - power bi, power app, power automate, Alteryx, Tableau software, Snowflake databases  & Strong Excel skills 
To £21.50 FCSA Umbrella (this role is deemed inside IR35) to £16.00 paye
 
Required Hours 8.00am – 4.45pm Mon Thurs, earlier finish Friday
 
Please apply for further details

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.