Data Scientist - Growth (Europe)
Data Scientist - Growth (Europe)

Data Scientist - Growth (Europe)

Full-Time 60000 - 80000 £ / year (est.) No home office possible
Nivoda Limited

At a Glance

  • Tasks: Lead data-driven growth strategies and build A/B testing frameworks from scratch.
  • Company: Join Nivoda, a fast-growing marketplace revolutionising the global jewellery industry.
  • Benefits: Enjoy flexible hours, remote work, unlimited holiday, and endless learning opportunities.
  • Other info: Work autonomously in a vibrant culture focused on innovation and diversity.
  • Why this job: Be a founding data scientist and make a real impact in a dynamic environment.
  • Qualifications: Master’s degree or equivalent experience in a quantitative field; 4-6 years as a data scientist.

The predicted salary is between 60000 - 80000 £ per year.

About Nivoda

Nivoda’s growth trajectory has skyrocketed over the past 12 months, and we continue to expand across new regions at an unprecedented pace. Our DNA centers on understanding our customers' needs and offering them a seamless experience. With a growing team based in major cities worldwide, including London, New York, Hong Kong, and Mumbai, Nivoda is becoming the go‑to marketplace for the global jewelry industry. We are bold, innovative, and relentless in our pursuit of excellence as we transform an industry steeped in tradition.

About the Role

We are building our data science capability from the ground up, and this is a rare opportunity to be the founding data scientist embedded within our Growth team. You will own the analytical agenda for growth — from onboarding funnel analysis and top-of-funnel acquisition through to activation, product uptake, and revenue expansion — and for delivering insights that drive meaningful business outcomes. This role sits at the intersection of data engineering, experimentation, and growth strategy. You will work autonomously, partnering closely with growth product managers, engineers, and marketing, and you will have the freedom to build the infrastructure and culture of data-driven decision-making.

What You'll Do

  • Experimentation & A/B Testing: Design, build, and own a robust A/B testing and experimentation framework for the growth function. Define metrics, set up holdout groups, run significance tests, and communicate results with clarity to both technical and non-technical stakeholders. Identify opportunities for rapid iteration and champion a test-and-learn culture across the growth pod.
  • Data Infrastructure & Pipelines: Build and maintain scalable data pipelines and databases that support real-time and near-real-time growth analytics. Develop ETL pipelines (e.g. Python-based) and ensure reliable, clean data flowing into dashboards and models. Collaborate with the Head of Data Engineering to align on tooling, architecture, and best practices.
  • Growth Analytics: Analyse user behaviour across the full funnel — acquisition channels, onboarding, conversion, engagement, and churn. Build models and dashboards that surface actionable insight for the growth and marketing teams. Work closely with AI tools and emerging technologies; bring demonstrable experience of AI-native workflows to the team.
  • Cross-Functional Partnership: Act as the primary data partner for growth PMs, engineers, and marketing stakeholders. Translate complex analyses into clear narratives and recommendations for senior leadership. Over time, help define what a best‑in‑class data science function looks like and contribute to building it.

What You'll Need

  • Master’s degree in a quantitative discipline (e.g. Statistics, Computer Science, Mathematics, Engineering) or equivalent practical experience.
  • 4 - 6+ years of experience as a data scientist, ideally within a growth pod or growth-focused team at a scale‑up (Series B through pre‑IPO).
  • Hands‑on experience building and running A/B testing frameworks from scratch.
  • Strong engineering fundamentals — comfortable building ETL pipelines, data models, and production‑quality analytical code (Python preferred).
  • Experience working with complex, cross‑functional data in a fast‑paced startup or scale‑up environment.
  • AI‑native: actively using AI tools in your day‑to‑day workflow and able to speak to the tangible impact this has had.
  • Comfortable operating autonomously with a builder mindset — there is no established data science function to lean on.

Preferred Qualifications

  • Experience at a marketplace business (two‑sided platforms with real‑time supply/demand dynamics).
  • Background as a growth analyst or in a growth PM‑adjacent role before moving into data science.
  • Prior experience working in Series B–D high‑growth companies where you’ve had to build, not just maintain.

What We Offer

  • Flexible working hours and a vibrant company culture.
  • Remote work.
  • Plenty of opportunities for growth and learning.
  • Unlimited holiday allowance.
  • Chance to join and contribute to a company during its exponential expansion phase.

Nivoda is proud to be an equal opportunity workplace dedicated to promoting diversity. We don’t discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status. Even if it seems you don't meet 100% of our musts don't let it stop you, we are all about finding the best talent out there! Skills can be learned, and embracing diversity is invaluable.

Please note: Our Talent Acquisition Team is international coming from across the world. We kindly ask you to please submit your CV and application in English so that it can be reviewed correctly. This is a full time, permanent position that's remote within Europe. Unfortunately, we are unable to offer sponsorship at this time. If after reading this job description you believe this is not the best fit for you, we’d encourage you to join our Talent Pool so we can keep you in mind as new roles open up. You can sign up here: Nivoda Talent Pool. This ensures you're among the first to hear about openings aligned with your skills and interests.

Data Scientist - Growth (Europe) employer: Nivoda Limited

Nivoda is an exceptional employer that fosters a vibrant and innovative work culture, offering flexible working hours and the opportunity to work remotely within Europe. As a founding data scientist in our Growth team, you will have the unique chance to shape our data-driven decision-making processes while enjoying unlimited holiday allowance and ample opportunities for personal and professional growth during our exciting expansion phase.
Nivoda Limited

Contact Detail:

Nivoda Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist - Growth (Europe)

✨Tip Number 1

Network like a pro! Reach out to people in the industry, especially those at Nivoda. A friendly chat can open doors and give you insights that a job description just can't.

✨Tip Number 2

Show off your skills! If you've got a portfolio or any projects that highlight your data science prowess, make sure to share them during interviews. It’s all about demonstrating what you can bring to the table.

✨Tip Number 3

Prepare for those tricky questions! Brush up on your A/B testing knowledge and be ready to discuss how you've used data to drive growth in past roles. We want to see your thought process!

✨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 our team.

We think you need these skills to ace Data Scientist - Growth (Europe)

A/B Testing
Data Analysis
ETL Pipelines
Python
Data Modelling
Analytical Skills
Cross-Functional Collaboration
AI Tools
Growth Strategy
Communication Skills
Problem-Solving Skills
Autonomous Working
Quantitative Analysis
Dashboard Development

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Scientist role. Highlight your experience in A/B testing, data pipelines, and any growth analytics you've done. We want to see how you can contribute to our growth journey!

Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for Nivoda. Share your passion for data science and growth, and don’t forget to mention any relevant projects or achievements. Let your personality shine through!

Showcase Your Technical Skills: Since this role involves building ETL pipelines and working with AI tools, make sure to include specific examples of your technical expertise. We love seeing hands-on experience, so don’t hold back on the details!

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 it gets into the right hands. Plus, it shows you’re keen on joining our team at Nivoda!

How to prepare for a job interview at Nivoda Limited

✨Know Your Data Inside Out

Before the interview, dive deep into your past projects and experiences related to data science. Be ready to discuss specific A/B testing frameworks you've built, the metrics you defined, and how your insights drove growth. This will show your hands-on experience and understanding of the role.

✨Speak Their Language

Familiarise yourself with Nivoda's business model and the jewellery industry. Use relevant terminology when discussing your analytical strategies and how they can apply to their growth objectives. This will demonstrate your interest in the company and your ability to communicate effectively with both technical and non-technical stakeholders.

✨Showcase Your Problem-Solving Skills

Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Highlight your builder mindset by sharing examples of how you've created data pipelines or analytics frameworks from scratch. This will illustrate your capability to operate autonomously in a fast-paced environment.

✨Emphasise Collaboration

Since this role involves cross-functional partnerships, be ready to talk about how you've worked with product managers, engineers, and marketing teams in the past. Share examples of how you translated complex analyses into actionable insights, showcasing your ability to foster a data-driven culture within a team.

Data Scientist - Growth (Europe)
Nivoda Limited

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