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.