Senior Data Scientist

Senior Data Scientist Consultant

(Hybrid office working setup)

About the Company

We’re working with a globally recognised digital consultancy that partners with major brands across sectors to design, build, and scale data-driven platforms and intelligent products. Combining engineering excellence with a human-centric approach, this organisation has spent over 20 years helping clients turn AI and machine learning into real-world impact from prototypes to fully productionised solutions.

Joining their data science practice means working in a collaborative environment where you’ll solve complex challenges, drive innovation, and help shape the future of applied AI.

About the Role

As a Senior Data Scientist, you’ll be responsible for designing and delivering advanced ML and AI solutions to tackle a wide range of business problems. You’ll combine hands-on modelling, deployment, and monitoring with mentoring and thought leadership across engagements. This is an opportunity to drive end-to-end value: from EDA and experimentation through to production deployment and governance.

Key Responsibilities

• Conduct EDA to uncover key trends, variables, and anomalies, and build usable, impactful Data Science products.
• Engineer and select features to maximise model performance and business impact
• Develop predictive and classification models using both classical approaches (regression, clustering, time-series) and advanced algorithms (XGBoost, LightGBM)
• Tackle NLP, computer vision, and generative AI use cases leveraging frameworks like PyTorch, TensorFlow, or Transformers
• Deploy models into production using modern MLOps tools and practices (MLflow, Kubeflow, SageMaker Pipelines)
• Monitor models over time to manage drift, retraining, and performance metrics
• Translate technical outputs into clear, actionable insights for stakeholders and product teams
• Ensure solutions adhere to data privacy standards and employ responsible AI techniques (e.g., explainability, bias mitigation)
• Contribute to internal knowledge sharing, mentoring junior team members, and promoting best practices across the practice

Skills & Experience

• Strong programming ability in Python (NumPy, Pandas), plus familiarity with R and SQL
• Expertise across ML and DL frameworks (Scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers)
• Experience building solutions in Databricks, Azure ML, AWS SageMaker, or GCP Vertex AI
• Familiarity with experiment tracking and automation platforms such as MLflow, Kubeflow, or Weights & Biases
• Awareness of modern cloud-native AI architectures, scalable infrastructure, and data pipeline design
• Understanding of data governance frameworks and how ML solutions fit into secure environments
• Critical thinking. Should be able to assess where AI/ML can deliver business value
• Excellent communication for translating complex concepts into accessible insights for non-technical audiences
• Leadership for mentoring colleagues and championing innovative approaches to AI

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