Data Scientist – Senior Consultant

Campion Pickworth is partnering with a leading international professional services firm to hire a Data Scientist – Senior Consultant to join a high-performing Analytics & Data Science team.

This is an opportunity to work at the forefront of Data Science, Machine Learning, Cloud Technologies and Generative AI, helping major organisations unlock value from their data and solve complex business challenges. You'll collaborate with talented specialists, work with modern technologies, and play a key role in delivering innovative solutions across a diverse project portfolio

• 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 Dev Ops-oriented workflow
• Apply strong knowledge of ML techniques, from supervised/unsupervised learning through to emerging methods in generative AI and large language models

• 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 applicati on.
  
  Experience delivering multiple end-to-end data science projects across varied data types and business domains
• Familiarity with Dev Ops 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
• 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