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- Tasks: Build AI-driven financial models and analyse messy datasets to improve profitability.
- Company: Fast-growing global SaaS business with a focus on AI and data innovation.
- Benefits: Work from home, competitive salary, and opportunities for professional growth.
- Other info: Exciting opportunity to shape product evolution in a dynamic engineering hub.
- Why this job: Join a high-impact team solving real-world commercial problems with cutting-edge technology.
- Qualifications: Strong Python skills and experience with complex 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.
Senior Data Scientist in Lisburn employer: MCS Group
Contact Detail:
MCS Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in Lisburn
✨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 refer you directly.
✨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 of financial data models. Be ready to discuss how you've tackled real-world problems and how you can contribute to the company's goals.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Scientist in Lisburn
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; give us examples of how you've applied it!
Demonstrate Your Commercial Understanding: Since we're all about profitability, it's crucial to showcase your understanding of revenue, costs, and margins. We love candidates who can connect the dots between data and business outcomes, so share any relevant experiences that illustrate this.
Be Creative with Your Problem-Solving: We're looking for someone who enjoys experimenting with new modelling approaches. In your application, tell us about a time you tackled a complex problem creatively. Show us how you think outside the box and apply AI/LLMs to generate insights.
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 ensures you don’t miss out on any important updates. 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
Brush up on your understanding of AI and LLMs, as they are crucial for this position. Be prepared to discuss how you've applied these technologies in past projects or how you envision using them to generate insights from data. This will demonstrate your passion and readiness to contribute to their AI-driven platform.
✨Understand the Business Impact
This role is all about turning data into actionable insights that affect profitability. Make sure you can articulate how your work as a data scientist can influence revenue, costs, and margins. Prepare to discuss any previous experiences where your data analysis led to tangible business outcomes.
✨Be Ready to Experiment
Since the company values experimentation, come prepared with ideas on new modelling approaches or analytical methods you’d like to explore. Discussing your willingness to innovate and adapt will resonate well with the interviewers, showing that you're not just a data cruncher but a problem solver.