Overview

Manager, Data Science and Machine Learning, Audit and Assurance – ACCA Careers

Join to apply for the Manager, Data Science and Machine Learning, Audit and Assurance role at ACCA Careers.

Connect to your Industry: 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. Providing assurance to help businesses become more resilient, agile and better prepared for the future.

Responsibilities

• 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 through the use of 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.

Qualifications

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 in using cloud environment (e.g. Azure, AWS).
• Experience using Azure Databricks, Azure MLflow, Azure ML services and/or other ML services.
• Experience using Excel, SQL, PowerBI, Tableau.
• Experience using Docker and Kubernetes.
• Experience working in an Agile development team.
• Experience delivering data science for financial industry or large/complex organisations.

Connect to your business - Audit & Assurance

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. We're redefining the future of audit. Come join us.

Assurance: Businesses need to be resilient and transparent in their reporting to build trust and confidence. 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.

Other highlights

Hybrid working: You’ll be based in London with hybrid working. Our hybrid model enables collaboration in both virtual and physical spaces. Depending on role, you may work in your local office, virtual collaboration spaces, client sites, and remotely. The firm supports flexible working and wellbeing. Please check with your recruiter for specifics.

Return to work: For this role we can offer coaching and support designed for returners to refresh knowledge and skills after a career break of two years or more.

Our commitment to you: We foster a culture where everyone belongs, feels supported and heard, with a focus on wellbeing and continuous learning. You will be supported to grow technically and personally, and to lead when ready.

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Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology
• Industries: Accounting