Are you a focused, aspirational, and collaborative data science professional looking to take the next step in your career? We’re growing our team and seeking a Data Science and Machine Learning Manager to lead 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 Us?
* 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.
Ready to connect to your next opportunity? Apply today and take your career to the next level.