Data Scientist, Manager, Digital Innovation

Deloitte's Tax Digital Innovation team is a key strategic function within the tax and legal business and includes several future looking capabilities that combined, are helping to drive exciting and innovative growth opportunities. You'll work as part of a multi-disciplinary team of industry, tax and legal SMEs, technology, and data specialists to provide specialist data science expertise and support on a diverse range of projects with both an internal and client focus.

Your role will be as a Data Scientist within our expanding AI & Data Studio. The role involves working on new and existing projects and products, delivering insights to clients, and utilising data to make smarter, better decisions. You will be responsible for applying data mining techniques, undertaking statistical analysis, deploying cutting edge machine learning tools and techniques, and drawing insights and building predictive models on both structured and unstructured data. This role will involve working on the delivery of key data science driven services and transformation projects.

This role would suit someone who has a passion for keeping up to date with the latest AI research and going from theory to production. You will thrive in a creative and collaborative environment, getting to create novel AI solutions to complex business problems., Our Tax Digital Innovation team has quickly established a strong reputation for being proactive, entrepreneurial, successful, and fun to work with. Working for us will present you with the opportunity to get involved in high-profile projects and will enable you to expand your horizons. We encourage consideration of flexible ways of working, both formal and informal arrangements that allow for the best outcomes for our people and our clients.

• Proactively sourcing external structured and unstructured data sets to enhance services and insights
• Processing, cleansing, and verifying the integrity of data used for analysis
• Performing ad-hoc analysis and presenting results from a business-centric perspective
• Building innovative models to classify and predict tax and legal data leveraging state-of-the-art machine learning and deep learning techniques
• Design, build and test data pipelines for machine learning that are reliable, scalable, and easily deployable
• Take ownership of models, from initial build through to model maintenance, avoiding performance drift over time.
• Perform constant tracking of performances
• Clearly and confidently articulate the value and benefits of delivering analytics projects to clients
• Working closely with Tax and Legal SMEs to build a deep understanding of business/client challenges and in the development of Proof of Concepts
• Share, communicate and develop bespoke AI solutions.
• Drive automation and optimisation of business workflows, helping clients to drive efficiency.

• Strong understanding of statistical modelling, supervised/unsupervised machine learning algorithms.
• Can explain how the models work to non-technical audiences, advocating for interpretability and audit best practices.
• Experience working with structured and unstructured datasets.
• Proficient in Python, leveraging key data science libraries (NumPy, Pandas, scikit-learn) and applying object-oriented programming principles to develop efficient, scalable solutions
• Hands-on experience experimenting with Generative AI (e.g. LangChain, Hugging Face, LlamaIndex).
• Experience working with Azure data & AI services such as Azure Machine Learning, Foundry etc.
• Practical experience working in Agile environments and contributing to sprints, stand-ups and backlog refinement
• Experience writing clean, well-structured documentation for models and analytical workflows
• Familiar with version control (Git) and collaborative coding practices.
• Strong communication and teamwork skills.
• Evidence of taking R&D theoretical concepts and applying them to business scenarios as needed, * Microsoft Azure Data Scientist Associate (DP-100) certification or equivalent.
• Strong understanding of MLOps/DevOps concepts including model versioning, CI/CD, Automated retraining, lineage and governance.
• Experience with model risk management, Responsible AI and compliance controls in regulated industries.
• Knowledge of model evaluation, testing and reliability checks.
• Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
• Experience with data visualisation tools such as PowerBI and Tableau
• Experience deploying models into production using Azure services
• Exposure to data engineering fundamentals (e.g., data pipelines, delta lake)
• Knowledge of experience tracking tools (MLFlow, Azure ML tracking)

Deloitte drives progress. Our firms around the world help our clients become market leaders wherever they compete. Deloitte invests in outstanding people with diverse talents and backgrounds, empowering them to achieve more than they can elsewhere. Our work combines consulting with action and integrity. We believe that when our clients and society are stronger, so are we.