Senior Data Engineer
As part of the Enterprise Data & Intelligence (EDI) team, you will play a key role in enabling company-wide data-informed decision making. B…
Senior Data Scientist – AI & Intelligent Products
Location: Glasgow
Salary: Competitive
The Role
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
Today: 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
To Apply
If you feel you are a suitable candidate and would like to work for BiP Solutions, please do not hesitate to apply.
Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.
£45,000 – £60,000 (Glassdoor, Levels.fyi, 2025)
As part of the Enterprise Data & Intelligence (EDI) team, you will play a key role in enabling company-wide data-informed decision making. B…
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