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For Companies At a Glance
- Tasks: Analyse data, build models, and generate insights to support business decisions.
- Company: Join a fast-scaling startup revolutionising dog food for healthier pets.
- Benefits: Enjoy extensive healthcare, learning budgets, and fun team events.
- Why this job: Perfect for those eager to learn and grow in a dynamic environment.
- Qualifications: Degree in Data Science or related field; proficiency in Python or R required.
- Other info: Flexible working options and a casual dress code.
The predicted salary is between 28800 - 48000 £ per year.
Join Our Pack
From a bold idea to revolutionising dog food, Years has grown into a fast-scaling business dedicated to helping dogs live longer, healthier lives.
In just 3 years, we\’ve built a great startup, serving thousands of happy customers, all while striving to achieve our mission.
Our goal? To give dog owners a better, fresher, and healthier way to feed their pets. We provide human-grade, personalised meals designed to support each dog\’s unique needs, delivered straight to their door — no preservatives, no compromises, just real nutrition.
You can find our customers across the UK, with future ambitions to scale internationally and continue transforming how people care for their dogs.
Your Mission
We are looking for a motivated and curious Junior Data Scientist to join our growing data team. In this role, you\’ll help analyse data, build models, and generate insights to support data-driven decisions across the business.
As data is used everywhere to provide insights within business, the opportunities to interact with different departments will be dynamic and varied.
This is an excellent opportunity for someone early in their career who is excited to learn, collaborate, and grow in a dynamic environment.
Key Responsibilities
- Collect, clean, and preprocess data from various sources, working to expand the Existing Data Team
- Conduct exploratory data analysis to identify trends, patterns, and insights
- Build and validate basic statistical models and machine learning models under guidance from senior team members
- Communicate findings through reports, dashboards, and visualizations
- Collaborate closely with the wider business and stakeholders to understand requirements and deliver actionable insights
- Document data processes, analyses, and methodologies to ensure reproducibility and transparency
What You\’ll Bring
- Degree in Data Science, Statistics, Computer Science, Mathematics, or a related field
- Proficiency in Python, R, or a similar programming language for data analysis
- Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn)
- Familiarity with SQL and relational databases
- Strong analytical and problem-solving skills
- Excellent communication skills and ability to present technical concepts to non-technical audiences
- Eagerness to learn new tools, techniques, and concepts
- Flexible and dynamic mindset
Nice To Have
- Internship or academic project experience involving data analysis or modelling
- Exposure to cloud platforms
- Experience with version control tools like Git
What\’s In It For You? Years Benefits
- Extensive health care cover including full cancer coverage and a choice of hospitals or consultants (AXA top package)
- Annual £250.00 Learning & Development budget for courses, books, or other self-learn activities
- Annual £100.00 Wellbeing budget
- Up to 2 weeks working abroad per year (selected roles)
- Monthly recognition through our Yappa of The Month programme
- 1 Volunteer day per year – dog themed or not: it\’s your choice!
- Subsidised employee groups – from five-a-side to padel, there\’s loads to get involved in or the chance to start your own group
- Quarterly subsidised team events from axe throwing, crazy golf to cocktail making
- Exclusive discounts on Years and Years treats for yourself and friends/family
- Lunch & Learn programme – from dog first aid to financial savviness, we\’ve got sessions planned to cover all kinds of topics
- Casual dress
- Your birthday off or a different day if it falls on a non-working day
- Ability to sell any unused holiday back to Years at the end of the holiday year (maximum 1 working week)
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Junior Data Scientist employer: Years.com
Contact Detail:
Years.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist
✨Tip Number 1
Familiarise yourself with the specific data tools mentioned in the job description, like Python and SQL. Consider working on small projects or contributing to open-source initiatives that showcase your skills in these areas.
✨Tip Number 2
Engage with the dog food industry by following relevant blogs, forums, or social media channels. This will help you understand the market better and demonstrate your passion for the company's mission during interviews.
✨Tip Number 3
Prepare to discuss your analytical process and how you approach problem-solving. Be ready to share examples of past projects where you collected and analysed data, as this will highlight your practical experience.
✨Tip Number 4
Network with current or former employees of the company on platforms like LinkedIn. This can provide you with insider knowledge about the company culture and expectations, which can be invaluable during the application process.
We think you need these skills to ace Junior Data Scientist
Some tips for your application 🫡
Understand the Company: Familiarise yourself with Years and their mission to revolutionise dog food. Highlight your understanding of their values and how they align with your own in your application.
Tailor Your CV: Make sure your CV reflects relevant skills and experiences related to data science, such as proficiency in Python or R, and any experience with data visualisation tools. Customise it to match the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your eagerness to learn. Mention specific projects or experiences that demonstrate your analytical skills and problem-solving abilities.
Showcase Your Technical Skills: In your application, provide examples of your technical skills, such as any academic projects or internships involving data analysis. If you have experience with SQL or cloud platforms, be sure to mention that too.
How to prepare for a job interview at Years.com
✨Show Your Passion for Data
Make sure to express your enthusiasm for data science and how it can impact the pet food industry. Share any personal projects or experiences that highlight your curiosity and motivation to learn in this field.
✨Demonstrate Technical Skills
Be prepared to discuss your proficiency in Python, R, or any other relevant programming languages. You might be asked to solve a problem on the spot, so brush up on your coding skills and be ready to showcase your knowledge of data analysis and visualisation tools.
✨Prepare for Collaborative Scenarios
Since the role involves working closely with various departments, think of examples where you've successfully collaborated with others. Highlight your communication skills and ability to present technical concepts to non-technical audiences.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's mission, data strategies, and future projects. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.
