At a Glance
- Tasks: Dive into data science, working with Python, SQL, and AWS to build impactful models.
- Company: Join a fast-growing, innovative organisation with a focus on collaboration.
- Benefits: Structured mentorship, hands-on experience, and exposure to real-world data challenges.
- Other info: Great opportunities for growth and learning in a supportive team.
- Why this job: Kickstart your career in data science and make a difference in a dynamic environment.
- Qualifications: Degree in a quantitative field and a passion for data-driven insights.
The predicted salary is between 28800 - 48000 € per year.
Our client, a fast-growing and innovative organisation, is looking for a Junior / Graduate Data Scientist to join their expanding data function. This is an excellent opportunity for an early-career data professional to gain hands-on experience across the full machine learning lifecycle in a regulated, real-world environment.
You’ll work closely with Senior Data Scientists, Data Engineers, and Analysts to develop, test, and support production-ready models using modern cloud technologies.
The RoleYou will work primarily with Python, SQL, and AWS (including Amazon SageMaker) to:
- Extract, transform, and analyse data from AWS data platforms
- Perform exploratory data analysis and communicate insights clearly
- Build and evaluate baseline machine learning models (classification regression)
- Support model experimentation in Amazon SageMaker Unified Studio
- Contribute to model deployment, monitoring, and safe rollout practices
- Follow best practices in Git, code review, testing, and Agile delivery
- Support data governance, documentation, and privacy-by-design principles
This role offers structured mentorship and exposure to data science beyond modelling — including productionisation, compliance, and engineering collaboration.
Essential RequirementsDegree in a quantitative discipline (Data Science, Computer Science, Maths, Statistics, etc.)
Junior / Graduate Data Scientist employer: Adria Solutions
Join a dynamic and innovative organisation that prioritises employee growth and development, offering structured mentorship and hands-on experience in the exciting field of data science. Located in a vibrant area, this role provides a collaborative work culture where you will engage with experienced professionals and gain exposure to cutting-edge technologies, ensuring a meaningful and rewarding career path.
StudySmarter Expert Advice🤫
We think this is how you could land Junior / Graduate Data Scientist
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field on LinkedIn or at local meetups. We can’t stress enough how valuable connections can be when it comes to landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and AWS. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and practical tasks. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to navigate!
We think you need these skills to ace Junior / Graduate Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Junior Data Scientist role. Highlight any relevant projects or coursework, especially those involving Python, SQL, and AWS, to show us you’re a great fit!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how your background aligns with our needs. Don’t forget to mention any hands-on experience you’ve had with machine learning or data analysis.
Showcase Your Projects:If you've worked on any data-related projects, whether in school or on your own, make sure to include them in your application. We love seeing practical examples of your skills, especially if they involve model building or data analysis!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at Adria Solutions
✨Know Your Tech Stack
Make sure you’re familiar with Python, SQL, and AWS, especially Amazon SageMaker. Brush up on your coding skills and be ready to discuss how you've used these technologies in your projects or studies.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific data challenges you've faced and how you approached them. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
✨Understand the Machine Learning Lifecycle
Since this role involves working across the full machine learning lifecycle, be ready to discuss each stage. Familiarise yourself with concepts like model evaluation, deployment, and monitoring, and think of examples from your experience.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team’s projects, the company’s approach to data governance, and how they support professional development. This shows your genuine interest in the role and the organisation.
