At a Glance
- Tasks: Build AI-driven financial models and analyse complex datasets to improve profitability.
- 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 messy datasets required.
The predicted salary is between 60000 - 80000 £ 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.
To speak in absolute confidence about this opportunity please contact Rachael Walker, Principal IT Recruitment Consultant at MCS Group or click the apply button below. If this position is not right for you, we have others that are. Please visit MCS Group to view a wide selection of our current jobs or give us a call. All conversations will be treated in the strictest of confidence.
Senior Data Scientist - Belfast employer: MCS Group
Join a dynamic and innovative global SaaS business in Belfast, where you'll be part of a high-impact AI/data team dedicated to solving real commercial challenges. With a strong focus on employee growth, a collaborative work culture, and the flexibility of remote work, this role offers you the chance to shape the future of profitability analytics while working with cutting-edge technology. Experience the unique advantage of being at the heart of a scaling engineering hub that values creativity and experimentation.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Belfast
✨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 data models, projects, or any AI-driven insights you've worked on. This gives you a chance to demonstrate your hands-on experience and problem-solving abilities beyond just your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding of messy datasets. Be ready to discuss how you've tackled real-world problems and how you can contribute to shaping the product's evolution.
✨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, it shows you're genuinely interested in joining the team and being part of the exciting journey ahead.
We think you need these skills to ace Senior Data Scientist - Belfast
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Scientist role. Highlight your Python expertise, experience with messy datasets, and any AI/LLM exposure. We want to see how you can contribute to our exciting projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with our mission at StudySmarter. Let us know what excites you about working with real-world financial data.
Showcase Your Projects:If you've worked on relevant projects, whether in a professional or personal capacity, make sure to mention them. We love seeing practical applications of your skills, especially if they involve building models or using AI to derive insights.
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 we’ll be able to review your application more efficiently. Plus, it shows you’re keen on joining our team!
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 encounter in this role. Familiarise yourself with financial, sales, and operational data, and think about how you would clean and model these messy datasets using Python. Being able to discuss specific examples will show your hands-on experience.
✨Showcase Your AI Knowledge
Since the role involves applying AI and LLMs, brush up on your understanding of these technologies. Be prepared to discuss any projects where you've used AI to generate insights or solve problems. This will demonstrate your interest and capability in this exciting area.
✨Understand the Business Impact
This position is all about turning data into actionable insights for profitability. Make sure you can articulate how your work as a data scientist can directly influence revenue, costs, and margins. Think of examples where your analysis led to tangible business outcomes.
✨Prepare Questions About the Role
Interviews are a two-way street! Prepare thoughtful questions about the company's approach to data science and AI, their current challenges, and how they envision the role evolving. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
