Data Scientist, Product Analytics | Fulfilment | London | Hybrid (2 days office)
About Us: Leading Online Retail into the FutureAt Ocado Technology, we're at the forefront of powering the future of online retail through disruptive innovation and automation. Our work spans robotics, IoT, cloud platforms, big data, machine learning, and software development - all central to our game-changing Ocado Smart Platform (OSP). We're continually reinventing ourselves, learning fast, and taking calculated risks as we strive to change the way the world shops. Our core values ofTrust, Autonomy, Craftsmanship, Collaboration,andLearn Fastare at the heart of everything we do.
About the Role
As a Data Science Product Analyst you will play a critical role in shaping the future of our fulfilment products by driving data-informed decision-making. Beyond deep analytical expertise, we are looking for someone who can communicate insights with impact, influence senior stakeholders, and drive meaningful business outcomes.
You will work cross-functionally with Product, Engineering, Data Science, and Partner Success to translate complex data into clear strategies, set meaningful KPIs, and influence our product roadmap. Your ability to tell a compelling story with data and navigate ambiguity will be key to your success.
Key Areas of Impact
Strategic Influence & Communication
- Develop and deliverclear, compelling narrativesthat drive product decisions and shape strategy.
- Influence senior stakeholders withdata-driven recommendations, ensuring insights lead to tangible business impact.
- Build credibility and trust across teams by clearly articulating thewhybehind key findings.
Product Leadership & Impact
- Use data toidentify opportunities, uncover risks, and drive prioritisationwithin product teams.
- Work closely with Product Managers to definesuccess metricsand ensure our investments deliver value to both Ocado and our partners.
- Advocate for adata-first mindsetacross teams, embedding analytical thinking into product development.
Advanced Analytics & Experimentation
- Design and analyse A/B tests, leveraging a robustquantitative toolkitto optimise product performance.
- Developpredictive models, customer insights, and performance tracking frameworksto inform decisions.
- Translate raw data into meaningful insights that uncoverhidden patterns and business opportunities.
Responsibilities:
- Apply your expertise in quantitative analysis and data presentation to see beyond the numbers, uncover hidden patterns, and translate these insights into clear product recommendations with tangible business impact.
- Collaborate with cross-functional teams to inform, support, and execute product decisions and launches.
- Set KPIs and goals, design and evaluate experiments, and monitor key product metrics to understand shifts and root causes.
What we're looking for:
- Significant experienceworking with data (SQL, Python) and solving complex analytical problems.
- Exceptional communication and storytelling skills- able to simplify complex ideas and influence action.
- Proven track record indriving impact through data- leading projects from insight to execution.
- Experience in fast-paced,ambiguous environments, demonstrating autonomy and adaptability.
- Background inmanagement consultingor a similarly strategic, high-impact role is preferred.
What do I get in return:
- Hybrid working (2 days in the office)
- 30 days work from anywhere globally
- Remote working for the month of August
- 25 days annual leave, rising to 27 days after 5 years service (plus optional holiday purchase)
- Pension scheme (various options available including employer contribution matching up to 7%)
- Private Medical Insurance
- 22 weeks paid maternity leave and 6 weeks paid paternity leave (once relevant service requirements complete)
- Train Ticket loan (interest-free)
- Cycle to Work Scheme
- Opportunity to participate in Share save and Buy as You Earn share schemes
- 15% discount on Ocado.com and free delivery for all employees
- Income Protection(can be up to 50% of salary for 3 years) and Life Assurance(3 x annual salary)
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