Data Scientist - GoPuff

Job Title: Data Scientist
Job Location: London, England
Job Listing URL: https://jobs.lever.co/gopuff/bbd3c0df-ae4a-4a1b-9076-c3abf152d7e0
Job Description: At Gopuff, we’re not just delivering convenience, we’re redefining how the world shops. Since pioneering instant needs in 2013, we’ve empowered millions of customers across the U.S. and U.K. to reclaim their time through seamless, fast, and reliable delivery. Behind this transformative journey is our tech-first mindset, relentless obsession with customer experience and operational excellence.

We’re looking for an exceptional Data Scientist to shape the future of quick commerce. This is not just a job, it’s a mission. As a Data Scientist in the UK Data team, you will support the rapid growth of our business by analysing our huge datasets to uncover insights that drive improvements across all departments performance.

You’ll partner with cross-functional teams, challenge the status quo and make high-impact recommendations. With your mastery of SQL, Python and advanced modelling, you won’t just support decisions - you’ll lead them. We believe great work happens through collaboration, not competition. You foster a culture of curiosity, respect, and shared success, ensuring data is a tool for empowerment, not gatekeeping. No room for arrogance - just a commitment to helping others and making an impact together.

If you’re a high-performer who thrives in fast-paced, high-impact environments, this is your chance to build, innovate, and leave a lasting mark on one of the most disruptive industries in the world.

Are you ready to shape the future of commerce? Let’s go!
You Will:
Drive Business Efficiency through Analytics: Analyse and enhance key metrics across customer acquisition, retention, and revenue generation. Use statistical and machine learning methods to identify patterns, uncover opportunities, and recommend actions that improve business performance and cost efficiency.
Develop and Maintain Strategic Data Models: Build scalable, well-documented data models using tools like dbt and databricks to support transparency and accuracy in tracking core KPIs. Ensure models are robust, maintainable, and aligned with evolving business needs.
Deep Dive into Company Performance: Collaborate closely with cross-functional teams to align KPIs with business goals. Use data to identify performance gaps, root causes, and potential levers for improvement, with a focus on measurable business outcomes.
Cross-Functional Data Partnering: Work alongside Category, Operations, and other teams to ensure insights are contextualised and actionable. Translate complex analyses into strategic recommendations that drive operational and commercial impact.
Solve Business Problems with Data: Use a variety of analytical methods ranging from exploratory data analysis to predictive modelling to solve real-world business problems. Launch and report on various of A/B tests running across all business functions.
Communicate Insights Effectively: Craft clear, compelling narratives with data. Present findings to both technical and non-technical audiences, ensuring data is accessible, trusted, and central to decision-making.
You Have:
3+ Years working as a Data Scientist: Proven experience in a data-driven environment, ideally in a high-growth e-commerce or retail setting.
Expertise in SQL and Python: Advanced skills in SQL and Python for querying large datasets, developing complex reports, building data models.
Tools Mastery: Familiarity with BI tools such as Looker, Tableau, or Power BI, with a strong ability to translate data into strategic insights.
Problem-Solver: A passion for tackling business challenges, with the ability to identify issues and propose actionable, data-driven solutions.
Strong Communicator: Ability to present data insights clearly and persuasively to both technical and non-technical stakeholders.
Curiosity and Drive: A passion for problem-solving and the ability to thrive in a fast-paced, ambiguous environment. You’ll be excited to dive into our business performance data and uncover opportunities to drive growth.
Benefits:
Company RSU’s (Company Shares)
Private Medical + Dental cover
Annual performance appraisal and bonus
Employee Discount + FAM membership
Career growth opportunities