At a Glance
- Tasks: Dive into real player data and build products that impact millions.
- Company: Join a global gaming AI platform revolutionising player experiences.
- Benefits: Competitive salary, hybrid work, and mentorship from industry experts.
- Other info: 3-month placement with potential for permanent role in a fun, collaborative team.
- Why this job: Make a real impact in the gaming industry with cutting-edge technology.
- Qualifications: 2:1 degree in STEM and programming skills in Python, SQL, or similar.
The predicted salary is between 30784 - 30784 € per year.
Company profile: Global gaming AI Platform. In this Graduate Data Scientist role, you'll be joining a real‑time AI platform powering personalisation for the global gaming industry - purposely designed to deliver personalised player experiences at scale in under 100 milliseconds, enabling operators to act in the moment, increasing engagement and driving sustainable growth. Trusted by leading global brands across Europe, America and Canada, they combine advanced machine learning, AI and data science with deep sector expertise to create personalised experiences in the moments that matter.
As a Graduate Data Scientist, you'll gain hands‑on experience with real player data and cutting‑edge technology, helping build products that reach millions. If you're curious, collaborative, and ready to make an impact, this is the place to learn fast and grow faster.
Key responsibilities:- Working on cloud platforms and processing 400 million transactions daily.
- Assist in building, maintaining and optimising complex data pipelines in a CI/CD development environment, ensuring products are robust, reliable, and fast.
- Work on Safer Play and Data-Driven Design products, using advanced ML modelling technology to detect gambling markers of harm in real-time.
- Be a part of an agile scrum team and participate in all ceremonies.
- Collaborate closely with data science, platform, product, and broader business teams.
- Gain exposure to how we develop a range of machine learning models via the full lifecycle process (business understanding, feature engineering, prototyping, training, evaluation).
- A 2:1 degree in mathematics, statistics, computer science, software engineering or similar (a post‑graduate master's degree or PhD is an advantage).
- Knowledge of data concepts like cleansing, preparing, pipelines, orchestration.
- Programming skills in any of the following languages: Python, PySpark, Java, SQL or Scala.
- Excellent verbal & written communication and presentation skills.
- A genuine interest and passion within Technology and Data.
- Organised and proactive, with strong attention to detail and an ability to prioritise effectively.
This is a 3‑month placement with the potential to go permanent.
Benefits:- Competitive salary of £30,784.
- Explore the worlds of Data Science and Data Engineering and discover where your strengths and interests lie.
- Learn from experienced, supportive teammates who love sharing their knowledge and helping people grow.
- Gain exposure to cutting‑edge strategies and tools in a high‑tech environment.
- Build valuable connections with professionals across the industry that can propel your career forward.
- Play a crucial role in the team's success and make a measurable difference in projects.
- Join a friendly, ambitious and social team that values learning, collaboration and having fun whilst doing great work.
- Hybrid working opportunity.
Graduate Data Scientist employer: Give a Grad a Go
As a Graduate Data Scientist at our global gaming AI platform, you'll be part of an innovative team that values collaboration and personal growth in a high-tech environment. With competitive salaries, hands-on experience with real player data, and opportunities to learn from seasoned professionals, we foster a culture of continuous learning and support. Join us to make a meaningful impact while enjoying a friendly and ambitious work atmosphere, complete with hybrid working options.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data science and machine learning. It’s a great way to demonstrate what you can do beyond your degree.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data science. We recommend doing mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing passionate candidates who are eager to join our team!
We think you need these skills to ace Graduate Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Graduate Data Scientist role. Highlight relevant skills like programming in Python or SQL, and any experience with data pipelines. We want to see how your background fits with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data and technology, and explain why you’re excited about working with us at StudySmarter. Be genuine and let your personality come through.
Showcase Your Projects:If you've worked on any projects related to data science or machine learning, make sure to mention them! We love seeing practical examples of your skills and how you’ve applied them in real-world scenarios.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Give a Grad a Go
✨Know Your Data
Brush up on your understanding of data concepts like cleansing, preparing, and pipelines. Be ready to discuss how you've applied these in your studies or projects, as this will show your practical knowledge and enthusiasm for the role.
✨Show Off Your Coding Skills
Make sure you're comfortable with programming languages like Python, SQL, or Java. Prepare to solve a coding challenge during the interview, and practice explaining your thought process clearly, as communication is key in a collaborative environment.
✨Understand the Company’s Mission
Familiarise yourself with the company's focus on personalisation in the gaming industry. Think about how your skills can contribute to their goals, especially in areas like real-time data processing and machine learning models.
✨Be Ready to Collaborate
Since you'll be part of an agile scrum team, prepare examples of how you've worked collaboratively in the past. Highlight your ability to communicate effectively and adapt to different roles within a team, as this will demonstrate your fit for their culture.
