Data Scientist – Senior Consultant

Campion Pickworth
London
2 days 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

Environmental Data Scientist / Hydrologist

Environmental Data Scientist / Hydrologist...

Environmental Data Scientist / Hydrologist (Wallingford)

Senior Data Scientist SME & AI Architect

Senior Data Scientist SME & AI Architect

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 Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.