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- Tasks: Lead data science projects and create AI-powered features that drive business impact.
- Company: Join a forward-thinking company transforming data into intelligent products.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and mentorship.
- Why this job: Make a real difference by shaping the future of AI and data-driven products.
- Qualifications: Experience in data science, machine learning, and strong analytical skills.
The predicted salary is between 60000 - 80000 £ 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 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
Senior Data Scientist - AI & Intelligence Products 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
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. 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 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 actionable insights in past roles.
✨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, we love seeing candidates who are genuinely interested in joining our mission to evolve into an AI-native product organisation.
We think you need these skills to ace Senior Data Scientist - AI & Intelligence Products
Some tips for your application 🫡
Show Your Data Passion: When you're writing your application, let your enthusiasm for data science shine through! Share specific examples of how you've used data to drive impact in previous roles. We love seeing candidates who are genuinely excited about turning complex data into actionable insights.
Tailor Your Application: Make sure to customise your application to highlight the skills and experiences that align with our job description. Mention your experience with AI, machine learning, and any relevant projects you've worked on. This helps us see how you fit into our vision of becoming an AI-native product organisation.
Be Clear and Concise: While we appreciate detail, clarity is key! Use straightforward language and avoid jargon where possible. We want to understand your thought process and how you approach problem-solving, so make it easy for us to follow your narrative.
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’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at BiP Solutions
✨Know Your Data Science Fundamentals
Brush up on your data science and machine learning fundamentals. Be ready to discuss your experience with advanced analytics, experimentation, and how you've driven commercial impact through data in previous roles. This will show that you understand the core of what the role entails.
✨Showcase Your AI Knowledge
Familiarise yourself with Generative AI and NLP techniques. Prepare examples of how you've applied these technologies in past projects, especially in building AI-powered features or solutions. This will demonstrate your capability to contribute to their evolution into an AI-native product organisation.
✨Prepare for Technical Questions
Expect technical questions related to data analysis, modelling, and deployment of AI solutions. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with stakeholders across various teams. This will highlight your ability to translate business challenges into analytical solutions.
✨Emphasise Collaboration and Mentorship
Since the role involves working closely with product, commercial, and engineering teams, be prepared to discuss your experience in collaborative environments. Also, think about how you've mentored others in the past, as this will show your leadership potential and commitment to developing a small team of Data Scientists.