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Job Description

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 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.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.