At a Glance
- Tasks: Build AI-driven financial models and analyse messy datasets to drive profitability insights.
- Company: Fast-growing global SaaS business with a focus on innovation.
- Benefits: Flexible work-from-home options and opportunities for professional growth.
- Other info: Be part of a dynamic environment with real-world problem-solving.
- Why this job: Join a high-impact team shaping the future of AI in business.
- Qualifications: Strong Python skills and experience with complex datasets required.
The predicted salary is between 50000 - 70000 £ per year.
MCS Group are delighted to be working with an exciting, fast-growing global SaaS business that is building an AI-driven platform helping some of the world's largest companies understand and improve profitability. Their platform brings together financial, sales, HR, and operational data into one place, giving businesses a clear, real-time view of where they are making and losing money - right down to transaction level, powered by AI and advanced analytics. They already work with major international clients across the US, Europe, and EMEA and are now establishing a new engineering hub right here in Belfast. The engineering and data function is scaling, with a strong leadership team and a growing AI/data research capability.
This is a Senior Data Scientist role for someone who enjoys a mix of hands-on building and research-driven problem solving. You won't just be building dashboards - you'll be helping shape how the product understands and predicts profitability using real-world, often messy financial data.
You'll be:
- Building financial and data models to understand profit drivers
- Working with complex, messy datasets (finance, sales, operational data)
- Using Python to clean, structure, and model data
- Applying AI/LLMs to generate deeper commercial insights
- Experimenting with new modelling approaches and analytical methods
- Helping define how the product evolves from a data and AI perspective
- Turning real-world business data into usable, scalable intelligence
What they're looking for:
- Strong Python skills (daily, hands-on use)
- Experience working with real-world, messy datasets
- Strong commercial understanding (revenue, cost, margin, profitability)
- Comfortable moving between data exploration, modelling, and production thinking
- Exposure to AI/LLMs (or strong interest in this space)
- Understanding of data pipelines/APIs/how systems connect
- Cloud experience (nice to have, not essential)
This is a rare opportunity to join a small but high-impact AI/data team at the core of a scaling global product. It's a blend of data science, experimentation, and product innovation, focused on solving real commercial problems - not just reporting on them.
Senior Data Scientist - Belfast in Newtownabbey employer: MCS Group
Join a dynamic and innovative global SaaS business in Belfast, where you'll be part of a fast-growing team dedicated to leveraging AI-driven insights for major international clients. With a strong emphasis on employee growth, a collaborative work culture, and the opportunity to engage in hands-on problem-solving, this role offers a unique chance to shape the future of profitability analysis while enjoying flexible work arrangements. Experience a supportive environment that values creativity and experimentation, making it an excellent place for those looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Belfast in Newtownabbey
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving messy datasets and AI applications. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding real-world business problems. Be ready to discuss how you've tackled complex data challenges in the past and how you can contribute to their AI-driven platform.
✨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 on the lookout for passionate individuals who want to make an impact in the data science field.
We think you need these skills to ace Senior Data Scientist - Belfast in Newtownabbey
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your strong Python skills in your application. We want to see how you've used Python in real-world scenarios, especially when dealing with messy datasets. Don't just say you know Python; show us how you've applied it!
Demonstrate Your Commercial Understanding:Since this role is all about understanding profitability, it's crucial to demonstrate your commercial understanding. Share examples of how you've worked with financial data and what insights you've drawn from it. We love seeing candidates who can connect the dots between data and business outcomes!
Be Creative with Your Problem Solving:We're looking for someone who enjoys experimenting with new modelling approaches. In your application, mention any innovative methods you've tried in the past and the results they yielded. Show us that you're not afraid to think outside the box!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates. Plus, it’s super easy – just click that apply button!
How to prepare for a job interview at MCS Group
✨Know Your Data Inside Out
Before the interview, dive deep into the types of datasets you might be working with. Familiarise yourself with financial, sales, and operational data, and think about how you would approach cleaning and structuring this data using Python. Being able to discuss specific examples will show your hands-on experience.
✨Showcase Your AI Knowledge
Brush up on your understanding of AI and LLMs, as they are crucial for this role. Be prepared to discuss any projects where you've applied these technologies, and think about how they can generate insights from messy datasets. This will demonstrate your passion and expertise in the field.
✨Understand the Business Impact
Since this role focuses on profitability, make sure you can articulate how data science can drive business decisions. Prepare to discuss how you've previously turned data into actionable insights that impacted revenue, costs, or margins. This will highlight your commercial understanding.
✨Prepare Questions About the Role
Interviews are a two-way street, so come armed with questions! Ask about the team’s current projects, the challenges they face with data, or how they envision the product evolving. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
