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For Companies At a Glance
- Tasks: Join a dynamic team to solve real-world problems in gaming using data and Python.
- Company: Exciting UK gaming/esports company with a focus on innovation.
- Benefits: Up to £85k salary, training budget, flexible hours, and great office perks.
- Other info: Agile environment with opportunities for personal development and growth.
- Why this job: Make an impact in the gaming industry while working with cutting-edge data technology.
- Qualifications: 3+ years as a data scientist, Python skills, and a passion for clean data.
The predicted salary is between 51000 - 85000 £ per year.
Role: Data Scientist
Location: Nottingham, UK (80% Remote)
Salary: £60k
The Opportunity
A growing, data-driven organisation is looking for a Data Scientist to help unlock the value of its data. This is a hands-on role where you’ll work on a mix of analytics and machine learning projects, partnering with different teams to turn complex datasets into clear, actionable insights.
You’ll have the freedom to own problems end-to-end, from exploration through to deployment, while contributing to a modern, evolving data function.
What You’ll Be Doing
- Designing and building data science solutions using Python
- Exploring datasets to uncover trends, patterns, and opportunities
- Applying statistical methods and machine learning techniques to solve business challenges
- Using clustering and segmentation to enhance analysis where relevant
- Translating technical outputs into clear insights for a range of stakeholders
- Supporting the deployment, monitoring, and ongoing improvement of models
- Contributing to best practices, tooling, and ways of working within the data team
What They’re Looking For
- Around 3-5 years’ experience in a Data Science or advanced analytics role
- Strong Python skills, including libraries such as pandas, NumPy, SciPy, and scikit-learn
- Experience with gradient boosting frameworks (e.g. LightGBM or similar)
- Solid grounding in statistics and machine learning concepts
- Comfortable working with structured data and SQL
- Ability to communicate insights clearly to both technical and non-technical audiences
- Experience taking models beyond experimentation into production environments
- Strong analytical thinking and problem-solving ability
Nice to Have
- Exposure to R for analysis or experimentation
- Understanding of modern engineering practices (CI/CD, Docker, or similar)
- Experience with cloud platforms (AWS, Azure, or GCP)
- Familiarity with version control (Git) and collaborative workflows
- Experience working in Agile environments
Data Scientist employer: Digital Waffle
Contact Detail:
Digital Waffle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the gaming and esports industry on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Python and machine learning. We recommend using GitHub to share your code and projects. This way, potential employers can see your work firsthand!
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills. Expect to solve real-world problems on the spot, so practice coding challenges and data analysis scenarios. We suggest using platforms like LeetCode or HackerRank to get in the zone!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who want to make an impact in the gaming/esports world. So, what are you waiting for? Get applying!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Your Passion for Data: Make sure to highlight your love for clean data and statistics in your application. We want to see how your passion aligns with our mission to tackle real-world problems using data.
Demonstrate Your Python Skills: Since Python is a key part of the role, don’t hold back on showcasing your experience. Include specific projects or examples where you’ve used Python to solve complex problems.
Emphasise Agile Experience: If you've worked in an Agile environment before, let us know! Share how you’ve contributed to team dynamics and project success in fast-paced settings.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and get to know you better. Don’t miss out on this exciting opportunity!
How to prepare for a job interview at Digital Waffle
✨Know Your Data Inside Out
Make sure you brush up on your data skills before the interview. Be prepared to discuss your previous projects, especially those involving clean data and statistics. Highlight how you've tackled real-world problems using data in your past roles.
✨Show Off Your Python Prowess
Since Python is a key requirement for this role, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common data manipulation tasks and be familiar with libraries like Pandas and NumPy.
✨Familiarise Yourself with Agile Methodologies
As the company operates in an Agile environment, it’s crucial to understand Agile principles. Be prepared to discuss how you've worked in Agile teams before and how you adapt to changing requirements and feedback.
✨Express Your Passion for Gaming/Esports
This role is in the gaming/esports industry, so let your enthusiasm shine through! Share any relevant experiences or projects related to gaming, and explain why you're excited about the opportunity to work in this field.