Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Senior Full-Stack Data Scientist

Zero100
London
4 days ago
Create job alert

What we do:

Zero100 is a leading cross-industry research and intelligence company that connects and provides strategic advice to global operations and supply chain leaders from a range of leading global businesses including Nike, Walmart, Unilever, Pfizer, Google, Honeywell, Volvo Cars and many others. Clients use the company’s peer networking, data, research and advisory services to shape their global supply chain strategies and accelerate progress on long-term digitization and sustainability initiatives. 

Headquartered in London, UK, Zero100’s members include Nike, Walmart, CVS, Unilever, Pfizer, Google, Volvo Cars, Honeywell, Ecolab, McDonald’s, and more.

The role

As a Senior Full-Stack Data Scientist at Zero100, you will play a central role in building and scaling the data foundations that power our research, product, and member-facing teams. You’ll be hands-on across the full data stack: designing and operating pipelines, leading exploratory analyses, and developing ML and LLM-powered tools that enhance our capabilities. This is an end-to-end role where you’ll own projects from ideation to pilot to production, exercising strong judgment to deliver high-quality solutions. You’ll collaborate closely with colleagues in research, product, membership, and revenue operations, thriving in an environment where you can wear many hats, balance engineering with analytics, and help shape data practices as we scale.

Responsibilities

  • Develop and operate scalable, reliable data pipelines and infrastructure, with a focus on efficiency, maintainability, and smooth end-to-end data flow
  • Work closely with the research team to understand analytical needs and develop clean, reusable data products to power insights
  • Conduct advanced analyses and exploratory data science projects to support strategic priorities
  • Build and productionize LLM and ML-powered internal tools
  • Champion best practices around data architecture, governance (e.g., Unity Catalog), and performance tuning
  • Collaborate within a small, hands-on data team (data scientists, analysts, and BI developers) in a fast-moving environment

Requirements

  • 5-7 years of experience in data roles, ideally in startup or high-growth environments, with a track record of owning end-to-end projects across the data stack
  • Experience building production-grade data pipelines (primarily in Python and SQL) in cloud environments, with an emphasis on scalability, code clarity, and long-term maintainability
  • Hands-on experience with Databricks and/or Spark, especially Delta Lake, Unity Catalog, and MLflow
  • Deep familiarity with cloud platforms, particularly AWS and Google Cloud
  • Proven ability to manage data architecture and production pipelines in a fast-paced environment
  • Track record of leading or independently owning analytics projects with real business impact
  • Experience applying LLMs and/or ML models to internal tools or business problems
  • Strong communication skills and ability to work with stakeholders to understand needs and explain complex ideas clearly
  • Comfortable with ambiguity and excited to help shape processes, standards, and infrastructure as we scale
  • Ability and willingness to work from our London office 4 days per week

Benefits

What We Offer:

    • Competitive salary and bonus
    • Unlimited holidays
    • Private healthcare & Life Insurance
    • Enhanced Pension
    • Enhanced Parental Leave Policy
    • Custom designed offices in central London with free breakfasts & snacks
    • Regular team socials
  • Zero100 is Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientations

Related Jobs

View all jobs

Senior Full-Stack Data Scientist

Senior Machine Learning Engineer - SC/DV Cleared

Senior Data Scientist - Drug Discovery - fully remote in UK

Senior Data Scientist - Drug Discovery - fully remote in UK

Senior Data Scientist - Drug Discovery - fully remote in UK

Senior Data Scientist - Drug Discovery - fully remote in UK

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.

The Future of Artificial Intelligence Jobs: Careers That Don’t Exist Yet

Artificial Intelligence (AI) has already transformed the global job market. From data scientists and machine learning engineers to AI ethicists and prompt engineers, many roles that seemed futuristic only a decade ago are now mainstream. Yet this is only the beginning. AI is progressing faster than any other technology in history, and the UK is at the forefront of its adoption, with government strategies, academic research, and private investment all accelerating growth. As generative AI, autonomous systems, robotics, and cognitive computing expand, completely new careers will emerge—jobs that don’t yet exist, but which will soon become central to how organisations, societies, and economies function. This article explores what those roles might look like, why they will matter, and how today’s professionals can prepare for careers that are still being invented.

Seasonal Hiring Peaks for AI Jobs: The Best Months to Apply & Why

The artificial intelligence sector has transformed from a niche technology field into one of the UK's most dynamic employment markets. With AI roles ranging from machine learning engineers to data scientists and AI product managers commanding average salaries between £45,000 and £120,000, timing your job search strategically can significantly impact your success rate. Understanding when companies typically hire for AI positions—and why these patterns exist—can give you a competitive edge in landing your dream role. Unlike traditional industries with predictable seasonal fluctuations, the AI job market follows distinct patterns driven by corporate budgets, educational cycles, and technological project timelines. This comprehensive guide explores the optimal months to apply for AI jobs in the UK, helping you align your career moves with industry hiring peaks.

Breaking Into Generative AI: A Beginner's Complete Guide to Starting Your Career in 2025/26

Are you fascinated by AI tools like ChatGPT, DALL-E, or Midjourney but unsure how to turn that interest into a career? You're not alone. The generative AI revolution has created thousands of new job opportunities across the UK, and many don't require a computer science degree or years of coding experience. Whether you're a recent graduate, considering a career change, or simply curious about this exciting field, this comprehensive guide will show you exactly how to break into generative AI jobs.