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- Tasks: Join our team to develop machine learning models and support product innovation.
- Company: A dynamic company in Edinburgh, offering a supportive environment for growth.
- Benefits: Enjoy a fantastic salary, hybrid work options, and great corporate perks.
- Why this job: Kickstart your career by tackling real-world problems and collaborating with innovative teams.
- Qualifications: Degree in Data Science or related field; strong Python skills required.
- Other info: Ideal for recent graduates eager to make an impact in data science.
The predicted salary is between 28800 - 48000 £ per year.
Graduate Data Scientist
Edinburgh, Hybrid
Excellent opportunity to work with an incredible support team not to mention a fantastic salary and benefits
Role Overview: Idea for Graduate Data Scientist;
We are seeking a highly motivated and curious Graduate Data Scientist to join our growing team. This is an ideal opportunity for a recent graduate looking to kickstart their career by working on real-world problems, developing advanced analytics, and contributing to innovative product features from day one.
As a Graduate Data Scientist, you’ll be involved in everything from model development to field testing, supporting cross-functional teams and helping shape how data is used across the business.
Key Responsibilities:
- Develop and refine machine learning models to support product innovation and performance analysis
- Collaborate with the R&D and Data teams to test and validate product ideas using real-world datasets
- Participate in field testing to collect and evaluate raw data, ensuring it is accurate, consistent, and usable
- Support the development of production-ready data features and pipelines
- Create internal tools, dashboards, and visualisations to improve decision-making and operational efficiency
- Contribute to data quality assurance, code reviews, and best practices for scalable, maintainable analytics solutions
Essential Requirements:
- A degree in Data Science, Computer Science, Mathematics, Engineering, or a related discipline
- Strong knowledge of Python and experience working with version control tools such as Git/GitHub
- Solid foundation in statistics, linear algebra, and calculus
- Understanding of software engineering principles, clean code, and testing best practices
- Ability to communicate clearly and work collaboratively with cross-functional teams
Desirable Skills (Nice to Have):
- Proficiency in SQL and familiarity with a major cloud platform (AWS, GCP, or Azure)
- Experience working with wearable sensor data or time-series data
- Personal or academic projects that combine sport and data
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Graduate Data Scientist employer: Net Talent
Contact Detail:
Net Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Scientist
✨Tip Number 1
Network with professionals in the data science field, especially those who work at StudySmarter or similar companies. Attend industry meetups, webinars, or conferences to make connections and learn more about the role.
✨Tip Number 2
Engage with online communities and forums related to data science. Platforms like GitHub or Stack Overflow can be great for showcasing your projects and getting noticed by potential employers.
✨Tip Number 3
Consider working on personal or academic projects that align with the responsibilities of a Graduate Data Scientist. Focus on developing machine learning models or creating visualisations that demonstrate your skills.
✨Tip Number 4
Familiarise yourself with the tools and technologies mentioned in the job description, such as Python, SQL, and version control systems. Having hands-on experience will give you an edge during interviews.
We think you need these skills to ace Graduate Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the role of a Graduate Data Scientist. Emphasise your knowledge of Python, statistics, and any projects related to data science or analytics.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your eagerness to contribute to real-world problems. Mention specific projects or experiences that demonstrate your ability to work collaboratively and your understanding of machine learning.
Showcase Relevant Projects: If you have personal or academic projects that involve data analysis, machine learning, or working with datasets, be sure to include them in your application. This will help illustrate your practical experience and problem-solving skills.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial in a data-driven role.
How to prepare for a job interview at Net Talent
✨Showcase Your Technical Skills
Make sure to highlight your knowledge of Python and any experience you have with version control tools like Git. Be prepared to discuss specific projects where you've applied these skills, as this will demonstrate your practical understanding of the role.
✨Demonstrate Your Problem-Solving Ability
Prepare to discuss real-world problems you've tackled during your studies or internships. Use examples that showcase your analytical thinking and how you approached data challenges, especially in relation to machine learning models or data validation.
✨Communicate Clearly
Since collaboration is key in this role, practice explaining complex concepts in simple terms. This will show your ability to work effectively with cross-functional teams and ensure everyone is on the same page.
✨Research the Company and Its Products
Familiarise yourself with the company's products and any recent innovations. Being able to discuss how your skills can contribute to their goals will set you apart and show your genuine interest in the position.
