Senior Data Scientist

Senior Data Scientist

X2 days a week in the office in this hub.

About the Role & Company

This is an opportunity to join a global consulting and technology delivery firm with deep expertise in AI, engineering, and platform innovation. Working across multiple sectors, the company helps organisations build scalable, intelligent systems that unlock real-world impact from data. With a strong focus on ethical and explainable AI, the data science team here delivers robust, production-grade models that drive smarter decision-making across product, strategy, and operations.

This position offers the chance to lead on high-impact modelling initiatives while contributing to platform tooling, governance, and architecture alongside engineers and product teams.

What You’ll Be Doing

• Design and implement predictive and analytical models using a mix of classical ML and modern deep learning techniques
• Apply time-series forecasting, NLP, clustering, and computer vision techniques to real-world business problems
• Build robust training pipelines and integrate them into cloud-native environments (Azure, GCP, AWS) using MLOps best practices
• Track experiments, automate model retraining, and monitor performance using tools like MLflow or Weights & Biases
• Work with stakeholders to define business objectives and translate outputs into actionable recommendations
• Contribute to responsible AI development through model interpretability, regulatory compliance (e.g. GDPR), and fairness audits
• Coach and support junior team members while helping scale internal capabilities

What They’re Looking For

• Strong programming ability in Python (NumPy, Pandas, scikit-learn) and SQL; R also welcome
• Hands-on experience with modern ML and deep learning frameworks (e.g. TensorFlow, PyTorch, HuggingFace Transformers)
• Experience deploying models in cloud environments (Databricks, Azure ML, SageMaker, or GCP Vertex AI)
• Familiarity with end-to-end ML lifecycle, including CI/CD, observability, and retraining strategies
• Understanding of data architecture and how to align ML solutions within broader platform ecosystems
• Ability to distill complex modelling outcomes into clear, non-technical insights for decision-makers
• Passion for innovation, ethical AI, and continuous learning

Bonus Points For

• Experience working with large-scale data in production
• Exposure to multi-cloud environments or hybrid deployments
• Prior involvement in technical mentoring or thought leadership initiatives

If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via [email protected] (feel free to include a CV for review).