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For Companies At a Glance
- Tasks: Drive commercial impact through data science and lead AI-powered product evolution.
- Company: Dynamic tech company focused on AI and data-driven solutions.
- Benefits: Immediate impact, ownership of projects, and growth opportunities in AI leadership.
- Other info: Collaborative environment with a focus on fast-paced growth and impactful work.
- Why this job: Shape the future of AI products and make a real difference from day one.
- Qualifications: Strong data science experience, Python skills, and a passion for AI innovation.
The predicted salary is between 70000 - 90000 £ per year.
Data is our superpower—not just for insight, but for building intelligent, scalable products. We’re looking for a Senior Data Scientist to drive commercial impact today through advanced analytics and experimentation, while leading our evolution into AI-powered products using modern Generative AI and search technologies. This is a hands-on, high-impact role at the intersection of data science, machine learning, and Generative AI engineering. You’ll deliver immediate business value while helping us transition from a data-driven company into an AI-native product organisation. You’ll work closely with product, commercial, and engineering teams to turn complex, text-heavy data into both actionable insights and production-grade AI solutions.
What You’ll Be Doing
- Driving Commercial Impact with Data
- Lead end-to-end data science projects that deliver measurable business outcomes
- Work hands-on with data analysis, modelling, and experimentation
- Translate business challenges into analytical solutions and clear insights
- Partner with stakeholders across commercial, product, and engineering teams
- Embed data into decision-making across the organisation
- Mentor and support a small team of Data Scientists
Evolving the Role: Building AI-Powered Capabilities
- Design and develop AI-powered features such as assistants, copilots, and intelligent workflows
- Build and deploy Retrieval-Augmented Generation (RAG) pipelines
- Apply NLP techniques to structure and unlock value from unstructured text
- Develop semantic and hybrid search solutions (vector + keyword)
- Work with LLM platforms (e.g. OpenAI, Claude, Bedrock) to create production-ready applications
Future State: Shaping Intelligent Products & Strategy
- Help define how AI becomes embedded in our core product offering
- Influence product strategy through data and AI capabilities
- Contribute to scalable architecture for AI systems (search, retrieval, LLM orchestration)
- Establish best practices for experimentation, evaluation, and model performance
- Elevate the organisation from analytics-led to decision intelligence and AI-driven automation
What We’re Looking For
- Core Data Science Expertise
- Strong experience as a Data Scientist in a SaaS or data-rich environment
- Proven track record of delivering commercially impactful solutions
- Expertise in experimentation, statistical analysis, and modelling
- Strong SQL and data manipulation skills
- Experience with Elastic / Elasticsearch and observability tooling
- Engineering & AI Capability
- Strong Python skills and experience building data/ML pipelines
- Experience developing APIs or production-grade systems
- Hands-on exposure to LLMs and prompt engineering
- Understanding of RAG architectures and NLP pipelines
- Familiarity with search technologies (Elasticsearch, vector databases, or similar)
- Collaboration & Influence
- Excellent stakeholder management and communication skills
- Ability to translate complex technical work into business value
- Comfortable working cross-functionally across product, engineering, and commercial teams
- Leadership & Growth
- Experience mentoring or supporting junior team members
- Interest in shaping standards, tools, and ways of working
- Motivated by building both immediate impact and long-term capability
- Docker, Kubernetes, or scalable deployment environments
- Background in building AI-powered or search-driven products
Why Join Us?
- Immediate impact: Deliver high-value data science work from day one
- Future-facing: Help build real AI products—not just models in notebooks
- Ownership: Shape both what we build and how we build it
- Growth: Evolve into a key leader in AI and data strategy
- Environment: Fast-moving, collaborative SME where data and AI are core to success
Senior Data Scientist - AI & Intelligence Products in Glasgow employer: BiP Solutions
Contact Detail:
BiP Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - AI & Intelligence Products in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 science projects, especially those involving AI and machine learning. This will give potential employers a taste of what you can do and how you can drive commercial impact.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI and data science. Be ready to discuss how you've tackled complex problems and delivered measurable outcomes in your past roles.
✨Tip Number 4
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 our team and contributing to our mission of building intelligent products.
We think you need these skills to ace Senior Data Scientist - AI & Intelligence Products in Glasgow
Some tips for your application 🫡
Show Your Data Superpowers: When you’re writing your application, make sure to highlight your experience with data science and how you've used it to drive commercial impact. We want to see your hands-on skills in action, so don’t hold back on those impressive projects you've led!
Speak Our Language: Use the same terminology as we do in the job description. If we mention Generative AI or NLP, make sure you’re referencing your own experience with these technologies. This shows us you understand what we’re about and can hit the ground running.
Be Clear and Concise: We love a good story, but keep it relevant! Make sure your application is clear and to the point. Use bullet points if needed to break down your achievements and skills. We want to see your impact without wading through fluff.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at BiP Solutions
✨Know Your Data Science Stuff
Make sure you brush up on your core data science skills, especially in areas like experimentation, statistical analysis, and modelling. Be ready to discuss specific projects where you've delivered measurable business outcomes, as this will show your practical experience.
✨Show Off Your AI Knowledge
Familiarise yourself with the latest in Generative AI and NLP techniques. Be prepared to talk about how you've applied these technologies in past roles, especially in building AI-powered features or systems. This will demonstrate your hands-on experience and understanding of the field.
✨Communicate Like a Pro
Since you'll be working cross-functionally, practice explaining complex technical concepts in simple terms. Think of examples where you've successfully communicated insights to stakeholders from different backgrounds, as this will highlight your collaboration skills.
✨Be Ready to Lead
As a senior role, they'll want to see your leadership potential. Prepare to discuss your experience mentoring junior team members and how you've influenced product strategy through data. Show them you're not just a doer, but also a thinker who can shape the future direction of AI in their products.