Data Scientist, Manager, Digital Innovation

Salary: £95,000 - 130,000 per year

Requirements:

• Strong understanding of statistical modelling and supervised/unsupervised machine learning algorithms.
• Ability to explain models to non-technical audiences, with a focus on interpretability and audit best practices.
• Experience working with structured and unstructured datasets.
• Proficiency in Python, including NumPy, Pandas, scikit-learn, and object-oriented programming principles.
• Hands-on experience experimenting with Generative AI tools such as LangChain, Hugging Face, or LlamaIndex.
• Experience working with Azure data and AI services such as Azure Machine Learning and Foundry.
• Practical experience working in Agile environments and contributing to sprints, stand-ups, and backlog refinement.
• Experience writing clear, well-structured documentation for models and analytical workflows.
• Familiarity with version control, especially Git, and collaborative coding practices.
• Strong communication and teamwork skills.
• Evidence of applying R&D theoretical concepts to business scenarios.
• Desirable: Microsoft Azure Data Scientist Associate (DP-100) certification or equivalent.
• Desirable: Strong understanding of MLOps and DevOps concepts, including model versioning, CI/CD, automated retraining, lineage, and governance.
• Desirable: Experience with model risk management, Responsible AI, and compliance controls in regulated industries.
• Desirable: Knowledge of model evaluation, testing, and reliability checks.
• Desirable: Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
• Desirable: Experience with data visualisation tools such as Power BI and Tableau.
• Desirable: Experience deploying models into production using Azure services.
• Desirable: Exposure to data engineering fundamentals such as data pipelines and delta lake.
• Desirable: Knowledge of experience tracking tools such as MLflow and Azure ML tracking.

Responsibilities:

• Proactively source external structured and unstructured datasets to enhance services and insights.
• Process, cleanse, and verify the integrity of data used for analysis.
• Perform ad-hoc analysis and present results from a business-centric perspective.
• Build innovative models to classify and predict tax and legal data using state-of-the-art machine learning and deep learning techniques.
• Design, build, and test reliable, scalable, and easily deployable data pipelines for machine learning.
• Take ownership of models from initial build through maintenance, reducing performance drift over time.
• Constantly track model performance.
• Clearly articulate the value and benefits of analytics projects to clients.
• Work closely with Tax and Legal SMEs to understand business and client challenges and support proof-of-concept development.
• Share, communicate, and develop bespoke AI solutions.
• Drive automation and optimisation of business workflows to help clients improve efficiency.

Technologies:

• AI
• Azure
• CI/CD
• DevOps
• Git
• Support
• Machine Learning
• MLflow
• MLOps
• Power BI
• PyTorch
• Python
• Tableau
• TensorFlow
• numpy
• pandas
• Cloud

More:

We are Deloittes Tax Digital Innovation team, a strategic function within our Tax and Legal business, based in London with hybrid working. Our expanding AI and Data Studio brings together industry, tax and legal SMEs, technology, and data specialists to deliver analytics and AI-driven solutions for both internal and client-focused work. We offer the opportunity to work on high-profile, innovative projects in a creative, collaborative, and entrepreneurial environment, with flexible working arrangements, strong development opportunities, and a culture built on integrity, inclusion, collaboration, and measurable impact. We also support returners with coaching and support for those coming back after a career break.

last updated 34 week of 2026