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

Apply Now

Data Science Business Analyst

Luton
11 months ago
Applications closed

Related Jobs

View all jobs

Business Analyst (Data Science & AI)

Business Analyst (Data Science & AI)

Business Analyst (Data Science & AI)

Graduate Data Scientist

Graduate Data Scientist

Graduate Data Scientist

Role: Business Analyst - Data Science

Location: Hybrid - Hampshire

Pay: £400-£500 per day

I am seeking a dynamic and self-driven Business Analyst to join my client on a contract basis, in this role, you'll be instrumental in uncovering and defining key business requirements, conducting in-depth data analysis, and delivering insights that will directly improve business efficiency. Your main deliverable will be a clear, comprehensive report on a select number of high-priority requirements, setting the stage for the organisations data scientists to develop targeted technical solutions. You'll showcase your findings in an engaging 'show & tell' format, ensuring a seamless handover of all project artifacts at the project's conclusion.

Key Responsibilities:

Requirements Gathering: Engage stakeholders to document business needs in high-priority areas via interviews and workshops.
Data Analysis: Assess existing and potential data sources for quality, accessibility, and relevance.
Feasibility & Justification: Conduct feasibility studies for proposed solutions, documenting business impact and efficiency gains.
Expected Outputs: Define outputs aligned with business goals, including database structures, reports, and dashboards.
Accuracy & Security: Set acceptable accuracy levels and ensure data security compliance.
Documentation: Produce a comprehensive report for data scientists, with all artifacts presented in a 'show & tell' Q&A format.Qualifications:

Education: Bachelor's in Data Science, Business Analytics, or related field; Master's preferred.
Experience: Proven background in technical business analysis and data science concepts.
Technical Skills: Knowledge of data analysis, visualization tools, and data security.
Soft Skills: Strong communication, problem-solving, and attention to detail.Project Duration:
Circa 4 months, with all deliverables, including a full report on 3-5 prioritized business requirements, to be handed over upon project completion.

Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, therefore we encourage you to apply early to avoid disappointment.

Tate is acting as an Employment Business in relation to this vacancy.

Tate is committed to promoting equal opportunities. To ensure that every candidate has the best experience with us, we encourage you to let us know if there are any adjustments we can make during the application or interview process. Your comfort and accessibility are our priority, and we are here to support you every step of the way. Additionally, we value and respect your individuality, and we invite you to share your preferred pronouns in your application

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.