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

Apply Now

Data Scientist – Consultancy

Metrica Recruitment
London
4 months ago
Applications closed

Related Jobs

View all jobs

Graduate Data Scientist

2026 Junior Data Scientist - London

Graduate Data Scientist

Data Scientist - Fixed Term Contract

Data Scientist

Data Scientist

Social network you want to login/join with:

One of the largest providers of consulting and technology services, providing a collaborative, friendly and entrepreneurial environment. A truly global consultancy with offices based in central London and a broad client base of blue-chip companies, the company operates across a variety of sectors and industries.

Working within their data science and analytics team, you will provide expertise and structured thinking, allowing you to develop innovative analytical solutions to complex business problems.

The Role

This role will involve providing your expertise and logical thinking in a way that helps to develop exciting new analytical solutions for intricate business obstacles.

As a consultant you will work across multiple sectors including retail, financial services, and healthcare. Your role will focus on the delivery of a variety of projects; from developing a LinkedIn bot using Python to automate searches for new talent to developing a product-product collaborative filtering recommendation engine using Python, Django and Azure. Your role bridges the gap between complex analytics and management strategy of businesses, a core responsibility is explaining technical outcomes to non-technical stakeholders.

What to expect:

  • A strong basic salary with excellent benefits
  • Collaboration with high-end and blue-chip clients, within a variety of sectors
  • You will be based in their central London location, with national and global travel opportunities
  • Working within a well-established data science team, almost 200 consultants
  • The opportunity to work with cutting-edge software and programs

The Candidate

  • A numerical degree with a minimum 2:1 grade or equivalent from a reputable university
  • Over 18 months years of experience in operational research, customer analytics, BI analytics, data science
  • Excellent experience with Excel and SQL. Highly advantageous to have used Python or R as well as cloud computing platforms and big data tools
  • A commercially insightful and results-driven nature
  • An excellent level of consulting communication skills


#J-18808-Ljbffr

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.