**We Are Redefining How People Approach Their HealthZOE** is the science and nutrition company leading a movement to transform the health of millions. We exist because the food we eat is making us sick. Most of what we are taught about food is wrong. ZOE runs the world’s largest nutrition science study to find scientifically proven solutions. Our randomised controlled trial of ZOE proves that if you eat the right food for your body, you can feel healthier in weeks and be on track for more healthy years. ZOE can change the way you eat, feel, and live. We host world-leading scientists on our podcast and bring proven science to your plate with Daily30+, our 30+ plant supplement. Over 100,000 people rely on ZOE Membership, our personalised nutrition program, to make smarter food choices. ZOE Membership turns complex science into clear step-by-step actions, helping you improve your health with every meal. ZOE means life — and you can change your life with food. Visit our career page and become a ZOEntist 🚀 **🚀 The Role** As a **Senior Product Data Analyst** , you will be the **analytical backbone** of our product teams, transforming raw behavioural data into powerful insights that shape strategy, roadmap and user experience. You’ll take part in designing and building the **end-to-end data workflow** —from working with engineers to instrumenting events, modelling data in dbt, and delivering clear, compelling narratives that empower us to **#ActFast on :70 % evidence** . We believe that most decisions are reversible, so we value smart risks and rapid iteration. **👥 The Team** At ZOE, we're on a mission to empower people with the most advanced science and technology to transform their health. Our Product Analytics team plays a central role in this mission, turning data into insights that shape product strategy and drive high-impact decisions. We collaborate with product managers, designers, engineers, and scientists to ensure that every feature we build improves the experience and outcomes for our members. By leveraging data and experimentation, we continuously refine our products to deliver meaningful value and measurable health improvements. The team is composed of four members with a mix of analytics engineering and data analysis skills, and we also work closely with data scientists. **🎯 What You’ll Be Doing**

*   Design and iterate on core product metrics (user activation, retention, engagement, and monetisation), ensuring they are accurate, timely, and reliable
*   Build and maintain lightweight, test-covered ELT pipelines (Fivetran → BigQuery → dbt → Hex) that make clean data accessible to everyone
*   Prototype analyses in SQL/Python, starting with the simplest approach and layering complexity only when it materially sharpens the answer.
*   Partner with Product Managers to plan A/B tests, quantify opportunities, and identify friction points in the user journey.
*   Ship dashboards and ad-hoc decks that persuade—clarity and narrative first, visuals and stats in service of the story.
*   Champion a product-mindset culture: ask “so what?” on every query, translate findings into actionable next steps, and iterate quickly when the market proves us wrong.

**🧠 What You’ll Bring To The Table**

*   Have 5 + years of professional experience in data analytics. Hold a bachelor’s (or advanced) degree in a quantitative field, e.g., Stats, Maths, CS, Physics, Engineering, or Economics.
*   Enjoy tackling \*\*\*\*open-ended questions and finding elegant, unexpected solutions. You combine intellectual curiosity with a creative approach to problem-solving.
*   Are fluent in SQL and comfortable coding in Python; you’ve touched dbt or other data transformation tools, or you’re a quick learner.
*   Have handled real-world data messiness before (missing events, conflicting definitions) and know how to get to “good enough” without getting stuck.
*   Treat statistics as a power tool, not a party trick—confident with basic stats and able to recognise when fancier models are (or aren’t) worth it.
*   Thrive in an early-stage environment with high ownership, tight deadlines, and rapid iteration. You're comfortable with less process and enjoy seeing fast feedback loops.
*   Thrive in early-stage environments: little process, high ownership, tight deadlines, rapid iteration, and feedback loops measured in days.
*   Communicate crisply—whether writing a one-pager for leadership, debating trade-offs with engineers, or walking non-technical teammates through a funnel drop-off chart.
*   Live our #ActFast value—you’re happy to move on :70 % evidence because speed beats perfection in a startup. You recognise most calls are reversible, avoid reinventing the wheel, take smart risks, and pivot quickly, knowing the team has your back.

**✨ Our Hiring Journey**

*   👋 Talent Acquisition Screen – 30 to 45 mins

A friendly intro chat with our Talent team to learn about your background, skills, and what excites you about ZOE and this role. Feel free to ask any questions about the team, culture, or next steps.

*   🧠 Hiring Manager Technical Screen – 45 mins

A deep dive with the hiring manager to discuss your experience working with data and analytics, the impact you’ve had, and how you solve complex problems with metrics and storytelling. Come ready to share examples and insights!

*   💻 Live Technical Assessment – 90 mins

A hands-on session with a Data Scientist and Data Analyst where you’ll work through a real-world analytics challenge. We’ll explore your SQL and Python skills, problem-solving creativity, and ability to turn data into a compelling narrative.

*   🤝 Cross-Functional Interview with Product Team – 45 mins

Join our product team to chat about how you partner with product managers, engineers, and designers. We’ll talk collaboration, experimentation (think A/B tests!), and how you turn data insights into actionable product improvements.

*   💬 Final Values & Leadership Interview – 45 mins

A conversation with our Senior Data Science and Analytics Managers focusing on your leadership approach, communication style, and how you live our #ActFast value — embracing smart risks and rapid iteration in a fast-paced environment.

*   🎉 Offer Stage

We move quickly and keep the process clear and supportive. If you’re the right fit, you’ll receive an offer along with a warm welcome and next steps to join the ZOE mission. The experience, skills, and attributes listed above reflect what we believe will contribute to success in this role. If you're passionate about ZOE and the opportunity, but don't meet 100% of the criteria, we still encourage you to apply. We are committed to supporting growth and are happy to offer up-skilling opportunities where possible. **Remote Philosophy** ZOE is a remote-first company, meaning remote work isn’t just an option — it’s how we work best. We are intentional about building a distributed, high-performing team where collaboration, trust, and flexibility thrive. We design our workflows around asynchronous communication and shared documentation to support autonomy, focus, and cross-timezone collaboration. While our teams work independently, connection and teamwork remain central to how we operate — through regular rituals, meaningful virtual interactions, and in-person gatherings every quarter. These include team offsites and a yearly company-wide retreat to build relationships, spark creativity, and have fun together. Being remote-first also means we value outcomes over hours and trust our team members to manage their work in a way that suits their unique rhythm and responsibilities. This approach allows us to support a truly flexible work environment, while staying aligned with our mission and values. At ZOE, working remotely doesn’t mean working alone — it means being empowered, supported, and connected, wherever you are. **Compensation Philosophy** We are committed to offering competitive and equitable compensation that reflects the value of each role and aligns with regional labor market standards. Our approach to compensation goes beyond just base salary — we offer a comprehensive package that includes base pay and stock options, ensuring that every team member is rewarded for their contributions to the company’s growth and success. We believe that building a thriving team requires not only providing fair and competitive compensation but also fostering an environment where success is shared collectively. Our total compensation package is designed to support the well-being of our employees, recognise their individual contributions, and empower them to grow alongside ZOE. **Benefits & Perks** We understand the significant role our benefits play in motivating, inspiring and safeguarding our employees' well-being. Our benefits strategy is thoughtfully designed to echo our mission and values, recognising the diverse needs arising from different life stages of our ZOEntists. Our approach to benefits takes an inclusive and flexible view of both personal and professional growth. From competitive health insurance and wellness packages to inclusive parental policies, building connection, and tailored professional development programs, we've got you covered. At ZOE, we continue to build a benefits package that invests in our team members’ long-term personal and professional growth and wellbeing, adding to this list as it evolves. **Equal opportunities** We are committed to fostering a diverse and inclusive team where every individual can bring their authentic self to work. We believe that this is key to our success and are dedicated to positively impacting the tech industry. As part of our commitment to equal opportunities, we encourage candidates from underrepresented backgrounds to apply. We ensure a respectful and inclusive environment for all and do not discriminate on the basis of race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, marital status, disability, or age. If you require any accommodations during the interview process, please feel free to inform us, and we will make every effort to support your needs.

Senior Product Data Analyst

**DATA ANALYST - UP TO £240/day DEPENDING ON EXPERIENCE - REMOTE**

Robert Half are thrilled to be working with a long-standing client who are looking for a full-time Procurement Specialist, offering fully remote working!

**Responsibilities:**

*   End-to-end process of analysing, cleansing, and re-categorising supplier spend data to identify opportunities for efficiency and cost optimisation.
*   Supporting strategic initiatives within the Maintenance, Repair, and Operations (MRO+) supply chain category.
*   Collaborate with both upstream and downstream stakeholders.

**Requirements:**

*   Experience in applicable sector - procurement or supply chain ideally, but open to manufacturing or construction experience.
*   Strong data analytic experience.
*   Exceptional communication skills
*   Must be immediately available or have a short notice period!

Data Analyst

**Principal Statistician FSP | Global CRO | Permanent | UK | Home Based |**

Award-winning global biometric CRO have multiple opportunities for experienced Principal Statisticians to join its growing FSP team.

Partnering with top pharma, biotech, and medical device companies, they deliver high-quality biostatistics, programming, data management, and data science services.

**What you will be doing:**

The successful candidates will be working as a statistician on cardio, renal & metabolic clinical trials; producing and validating complex outputs to excellent quality whilst adhering to deliverable timelines.

**What you will need:**

*   Educated to PhD or MSc in Biostatistics, statistics or a related discipline
*   Experience within the pharmaceutical industry to have a good awareness of clinical trial issues, design, and implementation.
*   Familiarity with GCP and regulatory requirements
*   Experience of writing SAPs, protocols

**What’s in it for you:**

*   Recognized as an outstanding workplace, committed to employee engagement, satisfaction, and work-life balance.
*   Structured training, development plans, and a supportive, friendly environment.
*   Condensed hours for a shorter workweek.
*   Competitive salary and benefits package.
*   Fully remote role.

**What to do next:**

If this opportunity is of interest, please apply now with your CV as the organisation are looking to welcome Principal Statisticians onboard as soon as possible.

**Not what you’re looking for?**

Please contact Jo Fornaciari at jo@warmanobrien.com for a confidential discussion about potential other opportunities in the UK and across Europe.

Principal Statistician

**About us**

We are building a commercial management platform for the legal industry. GenAI is set to transform legal and other time & materials-based industries, and players in those sectors are looking to adapt their commercial models to that new reality.

Our platform makes that possible by harnessing unstructured data scattered across law firms to facilitate decision making around pricing, legal engagement management and law firm go-to-market motions.

We are experiencing rapid growth underpinned by our relationships with some of the world’s top law firms, and are looking to add talent to help us deliver the best experience possible to our customers.

We are a team with backgrounds from leading academic and research institutions and top startups and financial firms. We are looking for people who fit that mould and are excited to build products at the cutting edge of applied AI.

**About the role**

We’re looking for an AI/ML Engineer to help us build intelligent agentic systems that make use of both our own machine learning models and frontier LLMs. You’ll work alongside our backend engineers and data scientists to design, build, and deploy AI-powered capabilities across our platform.

As with the rest of our team, we value well-engineered, maintainable solutions over quick fixes. We want someone who is excited to build scalable, production-grade ML systems — not just prototypes — and contribute to a thoughtful, collaborative team environment.

**Target Requirements**

*   Competencies in our core stack or highly transferrable analogues: Python, AWS, Terraform, GitLab CI
*   Solid understanding of modern ML development and deployment practices
*   Experience building agentic systems or autonomous workflows (e.g. task-oriented LLM agents, tool-augmented LLMs, or multi-modal agents)
*   Familiarity with LLM APIs (e.g. Gemini, OpenAI, Anthropic) and how to integrate them effectively into products
*   Good understanding of data pipelines and MLOps principles (e.g. reproducibility, monitoring, versioning)
*   Analytical background (e.g. STEM degree or equivalent experience)
*   Comfortable navigating common technical challenges, contributing to discussions, and refining technical requirements
*   Able to operate independently on existing or new ML systems while improving project structure
*   Delivers consistently within collaborative frameworks (Agile or similar)
*   Builds clean, scalable, and maintainable solutions using appropriate tools and patterns — avoids brittle "hacks" for short-term speed

**Ideal / Bonus**

*   Brings ideas and practices that help the team level up (e.g. new tools, techniques, or ML/LLM capabilities)
*   Familiarity with RLHF, fine-tuning, retrieval-augmented generation (RAG), or similar
*   Experience with Golang
*   Experience working in regulated industries (health, legal, financial) and understanding of associated ML risks and constraints
*   Positive force in growing a strong engineering team and helping us develop as we scale

**Offer**

*   Competitive salary
*   Employee stock options in a revenue-generating, VC-backed startup
*   Remote working with flexible hours
*   28 days personal time off
*   Regular team meet ups
*   Progression opportunities as we scale the team

AI/ML Engineer

**Role:** BI Analyst

**Location:** Remote with occasional travel (UK-based)

**Rate:** up to £400 per day (Inside IR35)

**Duration:** 6 months initially (Temp-to-perm potential)

**Start:** ASAP

**Overview:**

Urgent requirement for a BI Analyst to join an ongoing transformation programme replacing 20+ systems with a single operational platform. The immediate need is for real-time, customer-facing dashboards, primarily in **Power BI,** to provide insight into operational performance across cleaning, security, audits, etc. There’s strong interest in long-term development, with CRM and broader data initiatives in the pipeline.

**What you’ll be doing:**

*   Building and delivering Power BI dashboards focused on operational data
*   Creating sector-specific templates (e.g. healthcare, retail, transport)
*   Engaging with stakeholders to define and refine reporting requirements
*   Working alongside data architects, project leads, and IT leadership
*   Integrating Power Platform features (e.g. buttons for customer feedback)
*   Supporting data clean-up and standardisation across audits and forms

**Tech Stack:**

Power BI (core), Power Platform, Microsoft Stack (essential)

Experience with TimeGate or rostering tools is a plus

**What we're looking for:**

*   5+ years' experience in BI roles with strong Power BI delivery
*   Someone who can hit the ground running and take ownership from day one
*   Experience creating dashboards for operational/contract data
*   Background in facilities, healthcare, retail, transport, or similar sectors is desirable
*   Confident communicator able to engage across tech and business teams

**Why this role?**

There’s a genuine long-term opportunity here. Temp-to-perm is a strong possibility.

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