Director Data Science

Clutch
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Director, Data Science and Analytics

Associate Director, Data Science - Market Access

Associate Director, Data Science/Gen AI Lead - ER&I

Associate Director, Data Science/Gen AI Lead - ER&I

Associate Director, Data Science/Gen AI Lead - ER&I

Associate Director, Data Science/Gen AI Lead - ER&I

Role: Data Scientist, Associate Principal

Location: London, UK- Hybrid

Salary: Associate Principal- DOE


Clutch Creative is a rapidly growing staffing agency. We support our clients by identifying unreachable talent that helps their businesses grow.


Our candidates work with us because they know we have the best opportunities available to them and will help them navigate their next career move.


We care, we're honest, and we hustle—that's what makes us Clutch.


Clutch is looking for a Data Scientist at the Associate Principal level with experience in the CPG space.


Responsibilities:

  • Lead and shape the strategic direction of data science initiatives, aligning them with client business objectives.
  • Apply advanced statistical techniques, machine learning algorithms, and data mining methodologies to extract valuable insights from complex datasets.
  • Design, develop, and deploy innovative data-driven solutions, including predictive models, recommendation systems, and optimization algorithms.
  • Build strong relationships with clients, understand their business challenges, and translate complex technical concepts into actionable insights.
  • Mentor and guide junior data scientists, fostering a culture of innovation and continuous learning.
  • Stay abreast of emerging trends in data science and analytics, contributing to thought leadership initiatives and publications.
  • Collaborate with data engineers to design and implement robust data pipelines and infrastructure.
  • Oversee the deployment of data science models into production environments, ensuring scalability and reliability.


Requirements:

  • Advanced Degree: Ph.D. or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Operations Research, or a related field).
  • 10+ Years of Experience: Proven track record of leading complex data science projects in a consultancy environment preferred.
  • Expertise in a variety of data science tools and techniques, including Python, R, SQL, machine learning frameworks and cloud platforms.
  • Strong understanding of industry-specific data challenges and opportunities.
  • Excellent written and verbal communication skills to effectively convey technical concepts to both technical and non-technical audiences.
  • Ability to break down complex problems, identify root causes, and develop innovative solutions.
  • Proven leadership abilities to inspire and motivate teams, foster collaboration, and drive results.


Please read: Contact from Clutch employees will always come from the domain @clutchnow.com ONLY and we will always provide a phone number where you can contact us. Clutch will NEVER present a job offer without a verbal or video interview and we will never ask you to transfer or pay money to get hired. If you are skeptical about any email or job offer, please reach out to us directly.

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.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.