Data Science and Machine Learning Manager

Are you a focused, aspirational, and collaborative data science professional looking to take the next step in your career?

Campion Pickworth are working with a leading International professional services firm to recruit for Data Science and Machine Learning Assistant Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment.

This is a unique opportunity to work on a wide range of high-impact data science projects, leveraging cutting-edge technologies and working alongside a talented team of professionals. You’ll play a key role in shaping our data capabilities and delivering meaningful insights that support business-critical decisions.

What You’ll Do
Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions.
Use technologies such as

Python, R, Azure, Databricks, SQL, Power BI, and Tableau

to deliver actionable insights from complex data.
Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence.
Collaborate with cross-functional teams to identify business needs and translate them into scalable data science solutions.
Manage multiple projects from inception to deployment within cloud-based environments.
Maintain high standards in code review, documentation, and delivery in a DevOps context.
Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models.

What We’re Looking For

Essential Skills and Experience:
Proven ability to solve complex, real-world problems through data science and analytics.
Experience coaching and reviewing work of junior team members.
Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics.
Deep knowledge of machine learning methods and their practical application.
Experience managing multiple end-to-end data science projects across varied data types.
Familiarity with DevOps practices and tools like Git.
Cloud experience (e.g. Azure, AWS) and working with ML platforms and services.
Strong communication skills, capable of explaining complex topics to non-technical stakeholders.
Ability to align data science efforts 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, Kubernetes.
Exposure to Agile development environments and software engineering best practices.
Experience working in large or complex organisations or regulated industries.
Strong working knowledge of Excel, SQL, Power BI, and Tableau.

Why Join?
Work in a fast-growth, innovation-driven environment.
Be part of a diverse and inclusive team where your contributions are valued.
Tackle meaningful challenges with real-world impact.
Access continuous professional development and technical learning opportunities.