Deloitte’s Tax Digital Innovation team is a key strategic function within the tax and legal business, driving 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, working on new and existing projects and products, delivering insights to clients, and utilising data to make smarter, better decisions. You will apply data mining techniques, undertake statistical analysis, deploy cutting-edge machine learning tools and techniques, and draw insights and build predictive models on both structured and unstructured data.
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.
Key Responsibilities:
- Proactively source external structured and unstructured data sets 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 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
- Perform constant tracking of performances
- Clearly and confidently articulate the value and benefits of delivering analytics projects to clients
- Work 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
Requirements:
- Strong understanding of core machine learning algorithms and basic statistical methods
- Experience experimenting with Generative AI (e.g. LangChain, Hugging Face, LlamaIndex)
- Proficient in Python and key data science libraries (NumPy, Pandas, scikit-learn)
- Experience working with structured and unstructured datasets
- Familiar with version control (Git) and collaborative coding practices
- Good communication and teamwork skills
- Exposure to Azure data & AI services such as Azure Machine Learning, Foundry etc.
- Basic knowledge of MLOps/DevOps concepts (pipelines, deployment, monitoring)
- Understanding of model evaluation and reliability checks
- Familiarity with frameworks like TensorFlow or PyTorch
- Experience with data visualisation tools such as PowerBI and Tableau
We are an equal opportunities employer and welcome applications from all qualified candidates. We are committed to making an impact and creating an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.
