At a Glance
- Tasks: Join our Data Team to unlock insights and drive strategic decisions using data.
- Company: Yoto, a screen-free audio platform for kids, fostering creative play and learning.
- Benefits: Hybrid working, generous holiday, private medical insurance, and fun company socials.
- Other info: Enjoy flexibility, career growth, and a vibrant team culture.
- Why this job: Make a real impact on children's learning while shaping data-driven decisions.
- Qualifications: Experience in data science, strong skills in SQL and Python, and a knack for storytelling with data.
The predicted salary is between 70000 - 80000 £ per year.
We’re looking for a Senior Data Scientist to join our Data Team, to help provide insights and build solutions across our business, providing the foundations to grow the business to the next level.
About Yoto
Yoto is a screen‑free interactive audio platform for kids. We make carefully connected audio players that kids control, with no microphones, cameras or ads. We have a catalogue of audio that inspires creative play and learning with 1,000+ titles in our card store from top creators, publishers and labels – including Disney, Marvel, Roald Dahl and Universal Music. We also create Yoto Originals like BrainBots.
Yoto’s Data Team
We’re a small team at the heart of all the decisions Yoto makes. We work in a high‑trust environment with a lot of independence. Everyone can contribute ideas and be part of the decision‑making process. We tackle a broad range of problems, from developing cutting‑edge data solutions to maintaining and building data ingestion pipelines, query and orchestration platforms. Our work spans across all the key strategic projects throughout the company.
What you’ll be doing
- You’ll work closely with product, engineering and our commercial teams, leveraging data to unlock insights, build solutions and drive strategic decisions.
- You’ll help teams understand user behaviour, measure impact, and make confident decisions about what to build next.
- Partner with product and commercial teams to understand customer behaviour, and turn that into decisions people actually act on.
- Help create experimentation frameworks and approaches that maximise our ability to learn quickly and confidently about customer experiences.
- Use non‑experimental modelled approaches to help measure the impact of product features and growth projects, making clear the limitations and uncertainties.
- Define the metrics that decisions actually hang on, and make sure people know what a result really means, and what it doesn’t.
- Improve the efficacy of our internal LLM solutions, helping stakeholders navigate their own analysis and results, communicating uncertainties and risk as well as opportunities.
What you’ll bring
- Experience in data science roles, with a track record of influencing product or business decision making with data, insights and solutions.
- Applied experience in statistics and probability, strong grounding in experimentation and causal inference methods.
- Proven experience in navigating priorities across senior stakeholders, good judgement about where to spend effort, and being able to lead the direction of projects.
- Proficiency in SQL and python, and experience working with modern data stacks (e.g., GCP, AWS Snowflake).
- Comfortable with ambiguity and excited by the opportunity to shape how data drives decision‑making at Yoto.
- Ability to translate complex data findings into clear, compelling narratives for both technical and non‑technical audiences.
Salary: £70,000 – £80,000 based on experience.
What you can expect from Yoto
- Flexibility: Hybrid working – expectation of 1 day a week on average in our London office. You can work from a different location for up to 6 weeks every year. Summer Hours policy to use between June and August.
- Financial: Income Protection covering long‑term sickness for up to 2 years, company sick pay, Life Assurance cover from day one, Workplace Pension offering up to 3% employer contributions (post‑probation), generous employee referral bonus scheme.
- Health & Wellness: Private Medical Insurance via Aviva, wellbeing allowance for memberships, subscriptions and therapy, 24/7 Employee Assistance Programme (EAP), dental advice and guidance, bike‑to‑work scheme.
- Time Off: 25 days of holiday per year plus bank holidays. Birthday off, 1 extra day of holiday for each year worked after 2‑year anniversary up to 5 days, sabbatical policy offering up to 3 months unpaid after 4 years.
- Family benefits: Variety of family‑friendly leave, including enhanced maternity, paternity, adoption, fertility, pregnancy loss and carers leave. Workplace nursery scheme for preschool‑aged children.
- People & Planet: Up to 2 volunteer days a year and a book allowance of up to £50 per year.
- Fun perks: Receive your own Yoto player and starter pack of cards. Regular company socials, celebrations, and an annual YotoFest.
Senior Data Scientist in London employer: Yoto Limited
Yoto is an exceptional employer that fosters a high-trust, collaborative work environment where every team member's ideas are valued. As a Senior Data Scientist, you'll enjoy flexible hybrid working arrangements, comprehensive health and wellness benefits, and ample opportunities for professional growth while contributing to a meaningful mission of inspiring creativity in children through audio. With a strong emphasis on employee well-being and a vibrant company culture, Yoto stands out as a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Yoto Limited!
✨Show Off Your Projects
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Yoto Limited.
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We think you need these skills to ace Senior Data Scientist in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Yoto Limited, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Yoto Limited. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Yoto Limited
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Yoto Limited!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
