Principal Data Scientist in Manchester

Principal Data Scientist in Manchester

Manchester Full-Time 80000 - 98000 £ / year (est.) Home office (partial)
Gravitas Recruitment Group (Global) Ltd

At a Glance

  • Tasks: Design and deploy ML models, focusing on NLP and LLMs, to solve real-world data challenges.
  • Company: AI-first company revolutionising how technology interacts with complex data.
  • Benefits: Competitive salary, equity options, flexible hybrid work, and a chance to shape AI applications.
  • Other info: Collaborative environment with opportunities for mentorship and career growth.
  • Why this job: Join a small, agile team and make a tangible impact on innovative AI solutions.
  • Qualifications: Strong ML background, hands-on LLM experience, and solid Python skills required.

The predicted salary is between 80000 - 98000 £ per year.

Manchester (Hybrid – typically 3 days, flexibility available) £75,000 – £100,000 + Equity (EMI)

Why This Role Stands Out:

This isn’t a team bolting AI onto an existing product. This is a business built around it. You’ll be joining early in the journey of a genuinely AI-first company tackling complex, messy, real world data problems that don’t have obvious off the shelf solutions. The work here goes much deeper than surface level “AI features”, it’s about building systems that actually think, adapt, and deliver measurable value. The team is small, highly capable, and moves quickly. There’s no bureaucracy, no waiting weeks for decisions, and no disconnect between ideas and implementation. If something makes sense, it gets built.

The Opportunity:

This is a pivotal hire, someone who can elevate the technical bar, shape how AI is applied across the business, and take real ownership of outcomes. You won’t just be executing tickets. You’ll be:

  • Defining how ML and LLMs are used in production
  • Challenging assumptions and improving existing approaches
  • Influencing product direction through technical insight
  • Helping build the foundations of a world class AI capability

If you enjoy operating with autonomy, solving ambiguous problems, and seeing your work directly impact users, this role is built for that.

What You’ll Be Doing:

  • Designing, building, and deploying ML models (with a strong NLP focus) into production
  • Working hands on with LLMs, including emerging agentic / workflow driven approaches
  • Turning large volumes of unstructured data into structured, usable intelligence
  • Building scalable data pipelines and production grade systems
  • Improving model performance, efficiency, and cost (including LLM optimisation)
  • Contributing to system architecture and high level design decisions
  • Mentoring and lifting the capability of more junior team members
  • Owning problems end to end, from idea through to production impact

What We’re Looking For:

Technical

  • Strong Machine Learning background (ideally with deep NLP experience)
  • Proven, hands-on experience with LLMs in a commercial environment
  • Exposure to agentic AI / autonomous workflows (or strong interest in this space)
  • Strong Python skills and experience with PyTorch or TensorFlow
  • Ability to build production systems, not just prototypes
  • Solid data engineering capability (pipelines, processing, transformation)
  • Experience working with cloud platforms (AWS or GCP)
  • Confident working with SQL and large datasets

Experience & Mindset

  • Someone who raises the bar, not just fits into it
  • Likely from a startup, scale up, or fast moving environment
  • Strong sense of ownership and accountability for outcomes
  • Comfortable challenging decisions and proposing better solutions
  • Able to operate across the stack when needed, models, data, systems
  • Clear communicator who can explain complex ideas without friction

What You’ll Get

  • A genuine chance to shape how AI is used from the ground up
  • Work on meaningful, real world ML problems (not just experiments)
  • Equity with real upside, not a token add on
  • Influence over both technical direction and product thinking
  • A collaborative, low ego team focused on building, not posturing

Location

Manchester City Centre (hybrid) Typically 3 days onsite, but flexible for the right person

If you’re looking for a role where you can build, influence, and see your work matter quickly, this is one of those rare opportunities where that’s genuinely true.

Principal Data Scientist in Manchester employer: Gravitas Recruitment Group (Global) Ltd

Join a pioneering AI-first company in Manchester, where you'll have the opportunity to shape the future of machine learning and natural language processing. With a collaborative work culture that values autonomy and innovation, you will be part of a small, agile team that prioritises impactful solutions over bureaucracy. Enjoy competitive compensation, equity options, and the chance to mentor others while working on meaningful projects that directly influence product direction and user experience.

Gravitas Recruitment Group (Global) Ltd

Contact Details:

Gravitas Recruitment Group (Global) Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Principal Data Scientist in Manchester

Get Involved in Data Science Meetups

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Apply Directly through Our Website

When you find a suitable opening like Principal Data Scientist at Gravitas Recruitment Group (Global) Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Principal Data Scientist in Manchester

Machine Learning
Natural Language Processing (NLP)
Large Language Models (LLMs)
Python
PyTorch
TensorFlow
Data Engineering

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Gravitas Recruitment Group (Global) Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Gravitas Recruitment Group (Global) Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Gravitas Recruitment Group (Global) Ltd

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Gravitas Recruitment Group (Global) Ltd!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.