Data Scientist – Senior Consultant

Campion Pickworth
London
1 day ago
Create job alert

Campion Pickworth are working with a leading international professional services firm to recruit a Data Scientist – Senior Consultant to support the delivery of innovative analytics and machine learning solutions in a fast-paced, collaborative environment.


This is a fantastic opportunity to work on a diverse range of high-impact data science projects, leveraging cutting-edge technologies and joining a highly skilled team. You’ll contribute to shaping data capabilities and delivering meaningful insights that underpin business-critical decisions.


What You’ll Do

  • Develop and deploy advanced analytics, data science, and machine learning solutions across a variety of use cases.
  • Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to extract actionable insights from complex datasets.
  • Contribute to the design and implementation of scalable data science workflows and best practices.
  • Collaborate with cross-functional stakeholders to understand business needs and translate them into effective analytical solutions.
  • Support multiple projects from exploration through to deployment within cloud-based environments.
  • Maintain high standards of code quality, documentation, and testing within a DevOps-oriented workflow.
  • Apply strong knowledge of ML techniques, from supervised/unsupervised learning through to emerging methods in generative AI and large language models.


What We’re Looking For

Essential Skills & Experience

  • Proven experience solving complex, real-world problems using data science and analytics.
  • Strong Python skills (pandas, numpy, scikit-learn) with a solid grounding in probability and statistics.
  • Deep understanding of machine learning methods and their practical application.
  • Experience delivering multiple end-to-end data science projects across varied data types and business domains.
  • Familiarity with DevOps practices and tools such as Git.
  • Cloud experience (e.g., Azure, AWS) and working with ML platforms and services.
  • Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.
  • Ability to align analytical outputs with broader business objectives.


Desirable Skills

  • Experience using R and NLP or deep learning techniques (e.g., TF-IDF, word embeddings, CNNs, RNNs).
  • Familiarity with generative AI and prompt engineering.
  • Experience with Azure Databricks, MLflow, Azure ML services, Docker, or Kubernetes.
  • Exposure to Agile development environments and software engineering best practices.
  • Experience working in large, complex organisations or regulated industries.
  • Strong working knowledge of Excel, SQL, Power BI, and Tableau.

Related Jobs

View all jobs

Data Scientist – Senior Consultant

Senior Data Scientist

Environmental Data Scientist / Hydrologist

Environmental Data Scientist / Hydrologist

Environmental Data Scientist / Hydrologist...

Environmental Data Scientist / Hydrologist (Wallingford)

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.