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.
- Other info: Flexible working options and a casual dress code.
- 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.
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 in Nottingham employer: Years.com
Years is an innovative and rapidly growing startup dedicated to transforming the way dog owners feed their pets with fresh, human-grade meals. As a Junior Data Scientist, you'll thrive in a collaborative and dynamic environment that prioritises employee growth, offering extensive benefits such as a generous learning budget, health care coverage, and unique team-building events. Join us in our mission to enhance the lives of dogs across the UK while enjoying a vibrant work culture that values your contributions and encourages personal development.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Scientist in Nottingham
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Years.com!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Junior Data Scientist in Nottingham
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Years.com, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Years.com
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Years.com’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
