Senior Data Scientist

Senior Data Scientist

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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Zoe Immersive, Inc.

At a Glance

  • Tasks: Transform data into insights and innovative features that shape our product.
  • Company: Join ZOE, a dynamic team driving impactful data science initiatives.
  • Benefits: Competitive salary, growth opportunities, and a supportive learning environment.
  • Why this job: Make a real impact by turning cutting-edge research into everyday features.
  • Qualifications: 6+ years in data science, strong Python and SQL skills, and a curious mindset.
  • Other info: Embrace an entrepreneurial spirit and thrive in a fast-paced, collaborative environment.

The predicted salary is between 36000 - 60000 £ per year.

We are looking for a Senior Data Scientist with a genuine curiosity and drive to turn data into valuable insights and innovative features that shape our product and drive impact across the organization. This role is for a proactive generalist with a strong track record of applying data science to solve complex business and product challenges.

The Data Science Team You’ll be joining the Data Science team at ZOE, a pivotal group that works closely with stream-aligned product squads while dedicating time to high-impact, cross-cutting initiatives that support the wider mission. The team drives three core work streams: science-led features, AI-powered products, and data-driven product development.

Impact: This means turning cutting-edge research into features our members use every day, building intelligent systems that personalize and scale the ZOE experience, and conducting deep-dive analyses that shape product strategy and move science forward.

Pivotal Role: By working across these areas, the team plays a crucial role in shaping both what we build and how we deliver value to our members.

What You’ll Be Doing: As a Senior Data Scientist, you will partner directly with Product and Science teams to ensure data is at the core of every decision and feature we release.

  • Design, build, and deploy data-driven features and ML models that measurably improve our product and user experience.
  • Develop and iterate on evaluation frameworks to continuously improve the performance of our AI features.
  • Write, test, and maintain clean, production-ready code in Python (pandas, NumPy, scikit-learn), and utilize our data stack (SQL/DBT/BigQuery/Airflow).
  • Partner with product managers to run incisive analyses that uncover insights and guide strategic decisions.
  • Collaborate with engineers to define data contracts and ensure pipelines meet requirements for granularity, latency, and quality.
  • Communicate findings compellingly through decks, dashboards, or Looms to drive data-informed action.
  • Take full ownership of your work—from ideation through model development and deployment.
  • Champion our scientific yet agile approach: start with a hypothesis, seek evidence, and iterate fast.
  • Bring an entrepreneurial mindset to your day-to-day work, always striving to go above and beyond for our mission.

We Think You Would Be Great If You:

  • 6+ years of professional experience in data science and/or ML engineering.
  • Degree in a quantitative field (e.g., Applied Maths, Physics, Statistics, Computer Science).
  • Proven experience building and evaluating ML/AI models and conducting product-focused analyses.
  • Strong foundation in statistics, including hypothesis testing, experiment design, and causal inference.
  • Hands-on experience with production-level Python codebases, developing substantial components and features, plus strong SQL skills.
  • Track record of shipping production code/models and collaborating with engineers in fast-paced environments.
  • Comfort using AI tools to enhance day-to-day productivity—from IDE assistants to prompt engineering.
  • Curiosity and drive to use data to uncover insights and create business value.
  • Excellent communication and collaboration skills, from delivering clear presentations to stakeholders to conducting deep-dive code reviews.
  • Commitment to our #ActFast value: optimize for reversible decisions, take smart risks, and move quickly with imperfect data.

We Value Potential: If you’re excited about ZOE and this opportunity, please don’t hesitate to apply—even if you don’t meet every single requirement. We are committed to supporting growth and development along the way.

Our Intentional Hiring Journey: We aim for an efficient and insightful process where you can get to know us, and we can get to know you.

  • Hiring Manager Interview | 45 mins Remote Loop
  • This final stage includes a mix of technical and collaborative interviews. We'll keep you updated at every stage as you progress successfully through each step.
  • Skills Based Interview | 60 mins
  • Cross-Functional Collaboration Interview | 45 mins
  • Leadership & Values Interview | 45 mins

Ready to thrive? We want to hear from you. The experience, skills, and attributes we’ve outlined are what we believe will help someone truly thrive in this role. However, we understand that talent comes in many forms. If you are genuinely excited about ZOE's mission and this opportunity, please don’t hesitate to apply—even if you don’t meet every single requirement listed. We fundamentally value potential and commitment above all else. We are dedicated to fostering growth and providing opportunities for you to learn and develop alongside us.

Senior Data Scientist employer: Zoe Immersive, Inc.

At ZOE, we pride ourselves on being an exceptional employer that champions innovation and collaboration within our Data Science team. Our vibrant work culture encourages curiosity and creativity, offering ample opportunities for professional growth while making a meaningful impact on our members' lives. With a commitment to supporting your development and a focus on agile, data-driven decision-making, ZOE is the perfect place for passionate individuals looking to thrive in a dynamic environment.
Zoe Immersive, Inc.

Contact Detail:

Zoe Immersive, Inc. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Scientist

✨Tip Number 1

Network like a pro! Reach out to current employees at ZOE on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. It’s all about making connections!

✨Tip Number 2

Prepare for those interviews by brushing up on your technical skills. Make sure you can confidently discuss your past projects, especially those involving ML models and data-driven features. Practice explaining your thought process clearly.

✨Tip Number 3

Show off your curiosity! During interviews, ask insightful questions about ZOE's data initiatives and how they align with their mission. This not only shows your interest but also helps you gauge if it’s the right fit for you.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the ZOE team. Let’s get you that dream job!

We think you need these skills to ace Senior Data Scientist

Data Science
Machine Learning (ML)
Python
pandas
NumPy
scikit-learn
SQL
DBT
BigQuery
Airflow
Statistical Analysis
Hypothesis Testing
Experiment Design
Causal Inference
Communication Skills

Some tips for your application 🫡

Show Your Curiosity: When writing your application, let your genuine curiosity shine through! Share examples of how you've turned data into valuable insights in the past. We love seeing that drive to explore and innovate.

Tailor Your Experience: Make sure to highlight your relevant experience in data science and ML engineering. We want to see how your skills align with our needs, so don’t be shy about showcasing your achievements and projects that relate to the role.

Keep It Clear and Concise: We appreciate clarity! Use straightforward language and structure your application well. This helps us quickly grasp your qualifications and understand how you can contribute to our mission.

Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!

How to prepare for a job interview at Zoe Immersive, Inc.

✨Know Your Data Science Stuff

Make sure you brush up on your data science fundamentals, especially around ML models and statistical methods. Be ready to discuss your past projects and how you've applied these concepts to solve real-world problems.

✨Showcase Your Coding Skills

Since the role requires production-level Python code, be prepared to demonstrate your coding abilities. You might be asked to write or review code during the interview, so practice with libraries like pandas and scikit-learn beforehand.

✨Communicate Clearly

You’ll need to present your findings effectively, so practice explaining complex data insights in simple terms. Use examples from your experience to illustrate how you’ve communicated results to stakeholders in the past.

✨Embrace the Agile Mindset

ZOE values a scientific yet agile approach, so be ready to discuss how you’ve iterated on projects based on feedback. Share examples of how you’ve taken smart risks and made decisions with imperfect data to drive results.

Senior Data Scientist
Zoe Immersive, Inc.
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