Manager, Data Science and Machine Learning, Audit and Assurance

Our Audit and Assurance practice encompasses skills across regulation and finance with a deep analytics capability. We harness these to provide Assurance to those charged with governance, serving the public interest. Working in Assurance means you will have an opportunity to work alongside leading experts, as we help build and enhance trust between businesses and the public, by responding to emerging issues and protecting the public interest.

To be resilient, businesses must be ready to respond to current and future challenges and opportunities. They are increasingly needed to be more transparent with their reporting, to drive trust and confidence in the market, and protect the wider public interest. Assurance builds, maintains and develops confidence. We provide independent assurance by assessing the risks and underlying processes, providing conclusions as to which risks are being managed and mitigated in line with the business' appetite for risk. Deloitte's assurance offerings help those charged with governance to understand their business and build trust amongst key stakeholders and regulators.

High quality and transparent reporting on data use and compliance of data handling is critical for both regulatory compliance and for rebuilding the trust of the public. Our dedicated Analytics Group specialises in helping clients understand and effectively use their data. As a data science team, we work seamlessly with the diverse data and analytics specialist teams to create solutions to internal and client projects in a fast-paced environment.

We are looking to strengthen our team by the hiring of focused, aspirational, and collaborative practitioners, and as such we are offering the opportunity to join as a Data Science and Machine Learning Manager to support this challenging and rapidly expanding business. Deloitte offers a unique career opportunity in a supportive, challenging, and fast-growth environment.

Providing data analytics/data science services to deliver meaningful insights to our clients and help them to understand the risks and key drivers for their business using software such as Python, R, Azure, Databricks/other ML services, SQL, Tableau and Power BI. Development and delivery of new and innovative data science and machine learning tools and solutions to support evolving audit and assurance needs. Helping the team to support our clients in all areas of large data handling, manipulation, analysis, and modelling. Working effectively in diverse teams within an inclusive team culture where people are recognized for their contribution.

Essential

• Strong problem-solving skills, and capable of generating original solutions to real-world problems.
• Experience of coaching junior data scientists/analysts.
• Experience in reviewing code and documentation to a high standard.
• Experience in using Python (pandas, numpy, scikit-learn).
• End-to-end experience of managing multiple data science and analytics projects in different industries and with different types of data (text, numerical, categorical).
• Experience in project management experience in a DevOps environment.
• Experience in using cloud environment (e.g. Azure, AWS).
• Experience using Git.
• Solid understanding of mathematics, probability, and statistics.
• Deep knowledge in a range of machine learning techniques (Supervised and unsupervised).
• Understanding of Large Language Models, Generative AI frameworks, prompt engineering, fine tuning, resource augmentation.
• Strong communication and data presentation skills with the ability to build convincing recommendations and sell these to a non-technical audience.
• Self-driven, able to work independently yet acts as a team player.
• Able to apply data science principles through a business lens.

Desirable

• Experience of using R.
• Familiar with, preferably experienced in, Deep Learning (e.g. RNNs, CNNs) or NLP techniques (e.g. TF-IDF, word-embedding).
• Experience developing Generative AI projects.
• Experience of exercising software engineering best practices (e.g. test-driven development, smart data structure and algorithm selection).
• Experience using Azure Databricks, Azure MLflow, Azure ML services and/or other ML services.
• Experience using Excel, SQL, Power BI, Tableau.
• Experience using Docker and Kubernetes.
• Experience working in an Agile development team.
• Experience delivering data science for financial industry or large/complex organisations.

Assurance practitioners play a key role in achieving this through independent review and challenge of management's views on a range of regulatory and reporting requirements, whether financial, operational or compliance in nature.

We know it's not just about the numbers. Often, we let the technology take care of those. It's about the creative and collective thinking of our people. That's where the true insight is found. We're redefining the future of audit. Come join us.

At Deloitte we understand the importance of balancing your career alongside your home life. That's why we'll support you to work flexibly through our hybrid working policy. Depending on the requirements of your role, you'll have the opportunity to work in your local office, virtual collaboration spaces, client sites and remotely.

Making an impact is more than just what we do: it's why we're here. So we work hard to create 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. We want you. The true you. Your own strengths, perspective and personality. So we're nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution.