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Data Science Manager

Campion Pickworth
London
3 weeks ago
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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.
  • 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.

Seniority level

  • Seniority levelAssociate

Employment type

  • Employment typeFull-time

Job function

  • Job functionConsulting and Analyst
  • IndustriesBanking and Business Consulting and Services

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