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- Tasks: Shape the future of fulfilment products through data-driven decision-making and storytelling.
- Company: Join Ocado Technology, a leader in online retail innovation and automation.
- Benefits: Enjoy hybrid working, 30 days work from anywhere, and generous leave options.
- Why this job: Be part of a dynamic team that values trust, autonomy, and impactful insights.
- Qualifications: Experience with SQL and Python, strong communication skills, and a strategic mindset required.
- Other info: Opportunity for remote work in August and various employee perks.
The predicted salary is between 36000 - 60000 £ per year.
About Us: Leading Online Retail into the Future At 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 of Trust, Autonomy, Craftsmanship, Collaboration, and Learn Fast are 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 deliver clear, compelling narratives that drive product decisions and shape strategy. Influence senior stakeholders with data-driven recommendations, ensuring insights lead to tangible business impact. Build credibility and trust across teams by clearly articulating the why behind key findings.
- Product Leadership & Impact: Use data to identify opportunities, uncover risks, and drive prioritisation within product teams. Work closely with Product Managers to define success metrics and ensure our investments deliver value to both Ocado and our partners. Advocate for a data-first mindset across teams, embedding analytical thinking into product development.
- Advanced Analytics & Experimentation: Design and analyse A/B tests, leveraging a robust quantitative toolkit to optimise product performance. Develop predictive models, customer insights, and performance tracking frameworks to inform decisions. Translate raw data into meaningful insights that uncover hidden 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 experience working 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 in driving impact through data - leading projects from insight to execution. Experience in fast-paced, ambiguous environments, demonstrating autonomy and adaptability. Background in management consulting or 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).
Data Scientist, Product Analytics employer: Ocado Group
Contact Detail:
Ocado Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Product Analytics
✨Tip Number 1
Familiarise yourself with Ocado's core values: Trust, Autonomy, Craftsmanship, Collaboration, and Learn Fast. During your interactions, whether in interviews or networking, weave these values into your conversations to demonstrate that you align with their culture.
✨Tip Number 2
Prepare to discuss specific examples of how you've used data to influence product decisions in previous roles. Highlight your ability to communicate complex insights clearly, as this is crucial for the Data Scientist role at Ocado.
✨Tip Number 3
Showcase your experience with A/B testing and predictive modelling. Be ready to explain your approach to designing experiments and how your findings have led to tangible business outcomes in past projects.
✨Tip Number 4
Network with current or former Ocado employees on platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and expectations, which can help you tailor your approach when applying.
We think you need these skills to ace Data Scientist, Product Analytics
Some tips for your application 🫡
Understand the Role: Thoroughly read the job description for the Data Scientist, Product Analytics position. Pay attention to the key responsibilities and required skills, such as experience with SQL and Python, as well as the importance of communication and storytelling.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your analytical expertise, any projects where you drove data-informed decisions, and your ability to communicate insights effectively.
Craft a Compelling Cover Letter: Write a cover letter that tells your story. Explain why you're passionate about the role and how your background in data science and analytics can contribute to Ocado Technology's mission. Use specific examples to demonstrate your impact in previous roles.
Showcase Your Analytical Skills: In your application, include examples of how you've used data to drive business outcomes. Discuss any experience with A/B testing, predictive modelling, or working in fast-paced environments, as these are crucial for the role.
How to prepare for a job interview at Ocado Group
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with data analysis tools like SQL and Python. Highlight specific projects where you solved complex analytical problems, and be ready to explain your thought process and the impact of your findings.
✨Communicate with Clarity
Since exceptional communication is key for this role, practice simplifying complex ideas into clear narratives. Think about how you can present your insights in a way that influences decision-making and resonates with senior stakeholders.
✨Demonstrate Strategic Thinking
Prepare examples of how you've used data to drive product decisions or shape strategy in previous roles. Be ready to discuss how you set KPIs and goals, and how your recommendations led to tangible business outcomes.
✨Embrace Ambiguity
This role requires adaptability in fast-paced environments. Share experiences where you navigated uncertainty and made data-informed decisions. Show that you can thrive in dynamic settings and still deliver impactful results.
