Senior Data Science Consultant - Hybrid

Senior Data Science Consultant - Hybrid

Full-Time 60000 - 70000 £ / year (est.) Home office (partial)
Broughton Group

At a Glance

  • Tasks: Lead innovative AI and data science projects, transforming business challenges into impactful solutions.
  • Company: Join a high-growth consulting firm at the forefront of AI and data science.
  • Benefits: Competitive salary, bonuses, hybrid work, and continuous professional development.
  • Other info: Exciting opportunities for career growth and skill development in emerging technologies.
  • Why this job: Make a real-world impact with cutting-edge technology in a dynamic consulting environment.
  • Qualifications: Experience in data science and client-facing roles, with strong analytical skills.

The predicted salary is between 60000 - 70000 £ per year.

60k - 70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid

Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You’ll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client‑facing consulting environment and want to work on pioneering AI initiatives with real‑world impact, this could be the perfect next step in your career.

What You’ll Be Doing

  • Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle
  • Working closely with clients to understand business challenges and deliver innovative, data‑driven solutions
  • Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements
  • Applying modern data science techniques including statistical modelling, NLP, time‑series analysis, spatial analysis and mathematical modelling
  • Collaborating with multidisciplinary teams to deliver high‑quality solutions in a fast‑paced consulting environment
  • Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development
  • Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities
  • Continuously developing your skills across emerging AI, analytics and cloud technologies

What You’ll Bring

  • Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client‑facing or consulting environment
  • Strong knowledge across the ML lifecycle and advanced analytical methodologies
  • Passion for demonstrating how Agentic AI and GenAI can unlock business value
  • Excellent stakeholder management, communication and presentation skills
  • Experience helping clients derive actionable insights from complex data
  • Background working within a consultancy and/or industry environment

Technical Skills

  • Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks
  • Programming Languages: Python, R, PySpark
  • Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI

If you’ve held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer.

Senior Data Science Consultant - Hybrid employer: Broughton Group

Join a dynamic and innovative consulting firm that champions creativity and cutting-edge technology in the heart of London, Manchester, or Glasgow. As a Senior Data Science Consultant, you'll benefit from a collaborative work culture that prioritises employee growth through continuous learning and mentorship, while also enjoying competitive compensation packages, including bonuses and comprehensive benefits. This is an exceptional opportunity to make a real-world impact by leading pioneering AI initiatives and transforming business operations for major clients.

Broughton Group

Contact Details:

Broughton Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Science Consultant - Hybrid

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Broughton Group!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Science Consultant - Hybrid at Broughton Group.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Broughton Group.

Apply Directly through Our Website

When you find a suitable opening like Senior Data Science Consultant - Hybrid at Broughton Group, 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 Senior Data Science Consultant - Hybrid

Agentic AI
GenAI
Data Science
Analytics
Machine Learning Lifecycle
Statistical Modelling
Natural Language Processing (NLP)

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 Broughton Group, 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 Broughton Group. 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 Broughton Group

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 Broughton Group!

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.