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For Companies At a Glance
- Tasks: Lead data science projects, turning ideas into impactful solutions for clients.
- Company: Join a forward-thinking consultancy at the forefront of digital transformation.
- Benefits: Competitive salary, benefits package, and opportunities for professional growth.
- Why this job: Make a real impact by helping clients unlock the value of their data.
- Qualifications: Experience in machine learning and strong consulting skills required.
- Other info: Collaborative environment with opportunities to mentor and lead teams.
The predicted salary is between 72000 - 120000 £ per year.
Principal Consultant – Data Science
Location: UK-wide (client site travel required)
Clearance: SC Cleared
Package: Up to £100,000 base + benefits
The Opportunity
We’re looking for a Principal Data Science Consultant who combines deep technical capability with a strong consulting mindset. You’ll help clients unlock the value in their data, applying advanced AI, ML, and mathematical modelling techniques to drive measurable business outcomes.
This role is ideal for someone who thrives in client-facing environments, enjoys shaping data science solutions from idea to implementation, and is comfortable leading both technically and commercially.
Key Responsibilities
- Lead and deliver complex data science and AI engagements, from proof of concept (POC) through MVP, alpha, and beta phases.
- Act as a trusted advisor to clients – helping them define their digital vision, identify opportunities, and translate data science into tangible value.
- Design and implement machine learning, deep learning, and large language model (LLM) solutions for real-world business challenges.
- Bring strong mathematical reasoning and estimation skills to build robust, scalable models.
- Provide technical leadership and mentor junior data scientists and consultants within the team.
- Manage stakeholder relationships at all levels, ensuring communication and delivery excellence.
- Work collaboratively within multi-disciplinary teams – often embedded onsite with clients.
- Drive delivery outcomes with a self-starter mindset, ensuring pace, quality, and client satisfaction.
About You
- Strong background in Machine Learning, Deep Learning, and Large Language Models
- Solid understanding of mathematics, statistics, and data modelling fundamentals.
- Proven consulting experience – able to engage clients, manage ambiguity, and deliver under pressure.
- Comfortable working in a digital-first, fast-moving environment.
- Must hold SC Clearance.
Why Join
You’ll work at the forefront of digital transformation, helping clients harness data to drive innovation. Expect to join a collaborative, entrepreneurial environment where your ideas, technical insight, and consulting skills make a tangible impact.
Data Consultant employer: 83zero
Contact Detail:
83zero Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Consultant
✨Tip Number 1
Network like a pro! Get out there and connect with industry professionals on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by practising common data science scenarios. We recommend role-playing with a friend or using mock interview platforms. The more comfortable you are discussing your technical skills and past projects, the better you'll shine in front of potential employers.
✨Tip Number 3
Showcase your expertise! Create a portfolio of your projects, especially those involving AI and ML. We suggest sharing your work on GitHub or a personal website to demonstrate your skills and thought process to potential clients and employers.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. By applying directly, you’ll have a better chance of getting noticed and landing that Principal Data Science Consultant role.
We think you need these skills to ace Data Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Consultant role. Highlight your expertise in machine learning and data science, and don’t forget to showcase any consulting experience you have!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how you can help our clients unlock value from their data. Be specific about your achievements and how they relate to the role.
Showcase Your Technical Skills: We want to see your technical prowess! Include examples of projects where you've implemented machine learning or deep learning solutions. If you’ve led teams or mentored others, make sure to mention that too!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining the StudySmarter team!
How to prepare for a job interview at 83zero
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning, deep learning, and large language models. Be ready to discuss specific projects where you've applied these techniques, as well as the outcomes. This shows you not only understand the theory but can also implement it in real-world scenarios.
✨Show Off Your Consulting Skills
Prepare examples of how you've engaged with clients in the past. Think about times when you've helped them define their digital vision or translated complex data science concepts into actionable insights. This will demonstrate your ability to be a trusted advisor and manage stakeholder relationships effectively.
✨Be Ready for Technical Questions
Expect some tough technical questions that test your mathematical reasoning and estimation skills. Brush up on your statistics and data modelling fundamentals, and be prepared to explain your thought process when building robust models. This is your chance to shine as a technical leader!
✨Demonstrate Your Team Spirit
Since this role involves working collaboratively within multi-disciplinary teams, think of examples where you've successfully worked with others. Highlight your experience mentoring junior team members or leading projects, as this shows you can drive delivery outcomes while ensuring client satisfaction.
