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

Apply Now

Data Strategy Consultant

Bristol
9 months ago
Applications closed

Related Jobs

View all jobs

Data Strategy Consultant - Life Sciences

Data Architect

Data Architect

Data Strategy and Transformation Consultant

Head of Data Strategy and Policy Lead

Head of BI & Data Analytics

Data Strategy Consultant

Step into a pivotal role with a forward-thinking consultancy known for driving transformation and innovation in the public sector. As a Data Strategy Consultant, you'll join a seasoned team with a reputation for flexibility and impact, working on high-stakes projects across Central Government, Defence, Intelligence, and Emergency Services. This role offers a dynamic portfolio of programs where your expertise can directly influence mission-critical initiatives.

You'll be working at the heart of strategic data initiatives—focusing on data modelling, cloud analytics, and cross-government digital transformation. This role requires someone with the confidence and advisory skills to dive right in, providing critical insight and guidance to our clients.

Experience Needed:

  • 5+ years in Data Strategy; additional knowledge in Business, Applications, and Infrastructure is advantageous.

  • Consultancy experience, with a strong focus on stakeholder engagement and effective communication.

  • Proficiency with TOGAF, ArchiMate, BizzDesign, or Sparx EA.

  • Proven track record in Public Sector programs and strong data architecture and technical design experience.

  • Expertise in data principles, policies, and standards.

  • Hands-on experience with data and technology procurement.

  • Familiarity with Power BI, Qlik Sense, and big data tools.

  • Involvement in business transformation and change programs.

    A solid background across varied projects and a STEM degree are preferred. More importantly, we’re seeking candidates who can adapt and evolve to meet our clients' needs. UK Security Clearance eligibility is a must for this position.

    Ready to make a real difference? Join us and bring your talents to critical national programs with transformative impact

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.

Jobs

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.

Jobs

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.