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For Companies At a Glance
- Tasks: Shape the future of AI products using data and analytics to drive impactful decisions.
- Company: Join Encord, a leading AI data platform trusted by top companies.
- Benefits: Competitive salary, equity, 25 days leave, and a vibrant office culture.
- Other info: Enjoy team lunches, monthly socials, and opportunities for travel.
- Why this job: Work at the forefront of AI innovation and influence product strategy.
- Qualifications: Degree in a quantitative field and 2+ years in analytics.
The predicted salary is between 60000 - 80000 £ per year.
About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more.
We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
As a Product Data Scientist at Encord, you will help shape the future of our platform and the AI teams that depend on it. By applying your technical skills, analytical mindset, and product intuition to rich datasets generated across the AI development lifecycle, you will help define the experiences we build for data scientists, ML engineers, and AI teams around the world.
You will collaborate closely with Product, Engineering, Research, and Go-to-Market partners to use data and analysis to identify and solve our biggest product challenges. You will influence product strategy and investment decisions, be focused on impact, and play a key role in ensuring Encord continues to deliver exceptional value to the AI teams we serve.
What you'll do
- Use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build deliver real value to AI practitioners.
- Identify and measure the success of product initiatives through goal setting, forecasting, and monitoring of key product metrics.
- Design and build our data analytics infrastructure from scratch in order to empower other teams to make data driven decisions.
- Help your partner teams prioritise what to build, set goals, and develop a deep understanding of our product ecosystem.
- Go beyond presenting data — tell compelling, data-driven stories that convince and influence partners with clear insights and recommendations.
Who we're looking for
- Data-driven problem solver — you have strong product instincts and know how to turn complex data into clear, actionable direction.
- Comfortable with ambiguity — you thrive in fast-moving environments and don’t wait for perfect information to make progress.
- Product-minded — you have a genuine curiosity about user behaviour and a passion for building products that have real impact.
- AI-curious — you’re excited about working at the frontier of AI and want to be close to where the most important decisions in the space are being made.
- A strong communicator — you can translate technical findings into compelling narratives for non-technical partners.
Experience requirements
- Bachelor's degree in Mathematics, Statistics, Computer Science, or a relevant quantitative field (Master's or PhD a plus).
- 2+ years of experience in analytics, including data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical software (e.g. R).
- Experience understanding user behaviours, product ecosystems, and long-term product trends.
- Demonstrated ability to lead data-driven projects from definition through to execution.
- Bonus: experience with AI tools, prompt engineering, or agent orchestration.
Why Encord
- Competitive salary and meaningful equity in a high-growth startup.
- Opportunity to work at the frontier of AI development and have a front row seat to the latest innovations from the most sophisticated companies in the world.
- Strong in-person culture — most of the team works from our London office 4+ days/week.
- 25 days annual leave + UK public holidays.
- Annual learning & development budget.
- Opportunity to travel for customer visits, events, and conferences across the UK and Europe.
- Company lunches twice a week.
- Monthly socials and bi-annual team offsites.
Product Data Scientist employer: Encord
Contact Detail:
Encord Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees at Encord on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role as a Product Data Scientist.
✨Tip Number 2
Prepare for the interview by brushing up on your data storytelling skills. You’ll need to translate complex data into compelling narratives, so practice explaining your past projects in a way that highlights your impact and insights.
✨Tip Number 3
Show your AI curiosity! Stay updated on the latest trends in AI and be ready to discuss how they could influence product development at Encord. This will demonstrate your passion and alignment with their mission.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Encord team.
We think you need these skills to ace Product Data Scientist
Some tips for your application 🫡
Show Your Data Skills: Make sure to highlight your experience with data querying languages like SQL and scripting languages such as Python. We want to see how you've used these skills in real-world scenarios, so don’t hold back on the details!
Tell a Compelling Story: When you describe your past projects, focus on how you turned complex data into actionable insights. We love a good narrative, so make sure to explain not just what you did, but why it mattered and how it impacted the product.
Embrace Ambiguity: We thrive in fast-paced environments, so let us know how you've navigated uncertainty in your previous roles. Share examples of how you made decisions without having all the information at hand – we appreciate that kind of initiative!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Encord
✨Know Your Data
As a Product Data Scientist, you'll be working with complex datasets. Make sure you brush up on your data querying skills, especially SQL and Python. Be ready to discuss how you've used data to influence product decisions in the past.
✨Understand the Product Ecosystem
Familiarise yourself with Encord's platform and its role in the AI lifecycle. Think about how you can contribute to shaping product development and be prepared to share insights on user behaviour and product trends during the interview.
✨Communicate Clearly
You’ll need to translate technical findings into compelling narratives. Practice explaining complex data concepts in simple terms. Consider preparing a few examples where you've successfully communicated data-driven insights to non-technical stakeholders.
✨Show Your Curiosity
Demonstrate your passion for AI and product development. Be ready to discuss recent trends in AI and how they might impact Encord's offerings. Showing genuine curiosity will help you stand out as a candidate who is not just looking for a job, but is excited about the field.