Assistant Manager, Data Science and Machine Learning, Audit and Assurance

ACCA Careers; London; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

An established industry player is seeking an Assistant Manager in Data Science and Machine Learning to join their Audit and Assurance practice. This role offers the opportunity to deliver cutting-edge analytics solutions and develop innovative tools that support clients in navigating complex data challenges. You will work collaboratively within diverse teams, utilizing your strong problem-solving skills and expertise in Python and machine learning. With a focus on inclusion and growth, this is a chance to advance your career in a purpose-driven environment that values your unique strengths and perspectives. Embrace the opportunity to make a significant impact in a hybrid working arrangement.

Qualifications

• Experience with data science tools and analytics solutions.
• Strong understanding of machine learning algorithms and statistical principles.

Responsibilities

• Deliver data analytics services to help clients understand risks.
• Develop innovative data science tools for evolving audit needs.

Skills

Problem-solving

Python (pandas, numpy, scikit-learn)

Statistical principles

Machine Learning algorithms

Data presentation skills

End-to-end data science project experience

Self-motivated

Tools

Azure

Databricks

SQL

Tableau

Power BI

R

Docker

Kubernetes

Job description

Assistant Manager, Data Science and Machine Learning, Audit and Assurance

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

Job Overview

We are seeking a focused, aspirational, and collaborative professional to join our team as an Assistant Manager in Data Science and Machine Learning within our Audit and Assurance practice. The role involves delivering analytics solutions, developing innovative data science tools, and supporting clients in large data handling and modeling.

Responsibilities

1. Provide data analytics and data science services to deliver insights that help clients understand risks and key drivers using tools like Python, R, Azure, Databricks, SQL, Tableau, and Power BI.
2. Review internal and third-party data science and cloud solutions.
3. Develop and deliver new data science and machine learning tools to meet evolving audit needs.
4. Support clients in data handling, manipulation, analysis, and modeling.
5. Work effectively within diverse and inclusive teams.

Required Skills and Experience

• Strong problem-solving capabilities.
• Experience with Python (pandas, numpy, scikit-learn).
• Understanding of mathematical, probabilistic, and statistical principles behind ML models.
• Experience deploying supervised and unsupervised machine learning algorithms.
• Excellent communication and data presentation skills for non-technical audiences.
• End-to-end data science project experience.
• Self-motivated with the ability to work independently and as part of a team.

Preferred Skills

• Experience with R, Deep Learning, NLP, cloud environments like Azure/AWS, and MLOps tools.
• Knowledge of software engineering best practices, Docker, Kubernetes, and front-end development.
• Experience in the financial sector or large organizations.

Additional Information

This role is based in London with hybrid working arrangements. We support returners after career breaks and emphasize a culture of inclusion, growth, and impact. Join us to develop your career in a purpose-driven environment where your strengths and perspectives are valued.