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

ACCA Careers
London
7 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Data Analyst Senior Consultant, Assistant Manager, Manager - Belfast TLNT1_NI

Data Analyst Senior Consultant, Assistant Manager, Manager - Belfast

Machine Learning Researcher

Data Scientist/Senior Data Scientist – Generative AI

Senior Data Scientist

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

Join to apply for theAssistant Manager, Data Science and Machine Learning, Audit and Assurancerole atACCA Careers

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

2 days ago Be among the first 25 applicants

Join to apply for theAssistant Manager, Data Science and Machine Learning, Audit and Assurancerole atACCA Careers

Get AI-powered advice on this job and more exclusive features.

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.

Job Description

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.

To be resilient, businesses must be ready to respond to current and future challenges and opportunities. They are increasingly being required 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.

Analytics and Data Science

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.

Connect to your career at Deloitte

Deloitte drives progress. Using our vast range of expertise, we help our clients' become leaders wherever they choose to compete. To do this, we invest in outstanding people. We build teams of future thinkers, with diverse talents and backgrounds, and empower them all to reach for and achieve more.

What brings us all together at Deloitte? It's how we approach the thousands of decisions we make every day. How we behave, our beliefs and our attitudes. In other words: our values. Whatever we do, wherever we are in the world, welead the way,serve with integrity,take care of each other,foster inclusion, andcollaborate for measurable impact. These five shared values lead every decision we make and action we take, guiding us to deliver impact how and where it matters most .

Connect to your opportunity

We are looking to grow 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 Assistant Manager to support this challenging and rapidly expanding business.

The successful candidate will have responsibility for delivery across a range of Audit and Assurance analytics offerings, including:

  • 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.
  • Reviewing internal and third-party data science and cloud solutions.
  • 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.

Connect to your skills and professional experience

Essential

  • Strong problem solving skills.
  • Experience using Python (pandas, numpy, scikit-learn).
  • Solid understanding of the mathematical, probability and statistical principles behind Machine Learning models.
  • Experience using and deploying common machine learning algorithms (Supervised and unsupervised).
  • Good communication skills and data presentation skills, with the ability to build convincing recommendations and sell these to a non-technical audience.
  • End-to-end experience on at least one data science project: data wrangling, feature engineering, feature selection, model training, model validation.
  • Self-driven, able to work independently yet acts as a team player.
  • Able to apply data science principles through a business lens.

Desirable

  • Experience using R.
  • Familiar with, preferably experienced in, Deep Learning (e.g. RNNs, CNNs) or NLP techniques (e.g. TF-IDF, word-embedding).
  • Understanding of Large Language Models, Generative AI frameworks, prompt engineering, fine tuning, resource augmentation.
  • Familiarity with / experienced in software engineering best practices. E.g. test-driven development, smart data structure and algorithm selection.
  • Experience in using cloud environment (e.g. Azure, AWS or equivalent).
  • Experience using Azure Databricks, Azure MLflow, Azure ML services and/or other ML services.
  • Experience working in a Dev/MLOps environment.
  • Experience using Git, Excel, SQL, PowerBI, Tableau.
  • Experience using Docker and Kubernetes.
  • Experience working in an Agile development team.
  • Front End development experience (e.g. React, Django).
  • Experience of delivery data science and machine learning projects 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 or our people. That's where the true insight is found. 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.

Personal independence

Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to a number of audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints (e.g., in relation to any financial interests and employment relationships). This can mean that you and your "Immediate Family Members" are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm, and also prohibitions on certain employment relationships (e.g., you are not permitted to hold a secondary employment role with SEC audit clients of the firm whilst being employed by the firm). The recruitment team will provide further detail as you progress through the recruitment process or you can contact the Independence team upon request.

Connect with your colleagues

"I assumed the culture would be very corporate, however, I have worked with people who have different personalities and approaches to the way they work. We do have a clear brand, but everyone is encouraged to be themselves." - Alice, Audit and Assurance

"The team I support works with one of Deloitte's biggest clients. To be involved with such an influential client so early in my career is really rewarding; I love it." - Owen, Audit and Assurance

"The progression at Deloitte is steady and I've always felt in control of my own career path. You can learn something new here every day which I really enjoy." - Ali, Audit and Assurance

Our hybrid working policy

You'll be based in London with hybrid working.

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. You'll get the chance to meet face to face when needed, while you collaborate and learn from colleagues, share your experiences, and build the relationships that will fuel your career and prioritise your wellbeing. Please check with your recruiter for the specific working requirements that may apply for your role.

Connect to your return to work opportunity

Are you looking to return to the workplace after an extended career break?

For this role we can offer coaching and support designed for returners to refresh your knowledge and skills, and help your transition back into the workplace after a career break of two years or more. If this is relevant for you, just let your recruiter know when you make your application.

Our commitment to you

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. You can be sure we'll take your wellbeing seriously, too. Because it's only when you're comfortable and at your best that you can make the kind of impact you, and we, live for.

Your expertise is our capability, so we'll make sure it never stops growing. Whether it's from the complex work you do, or the people you collaborate with, you'll learn every day. Through world-class development, you'll gain invaluable technical and personal skills. Whatever your level, you'll learn how to lead.

Connect to your next step

A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you'll experience a purpose you can believe in and an impact you can see. You'll be free to bring your true self to work every day. And you'll never stop growing, whatever your level.

Discover more reasons to connect with us, our people and purpose-driven culture at deloitte.co.uk/careers

RTWPROG WPFULL SLAUDA BAASSCESeniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionEngineering and Information Technology
  • IndustriesAccounting

Referrals increase your chances of interviewing at ACCA Careers by 2x

Get notified about new Data Science Manager jobs inLondon, England, United Kingdom.

Head of Data - Data Science & ML EngineeringHead of Enterprise Data Science and AI Platforms

London, England, United Kingdom 2 weeks ago

Senior Manager - Data Science and Engineering Team

London, England, United Kingdom 5 days ago

London Area, United Kingdom £130,000.00-£130,000.00 1 month ago

City Of London, England, United Kingdom 3 weeks ago

Tech Lead Manager, Machine Learning - Perception

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

Greater London, England, United Kingdom 1 week ago

Research Programme Manager – Haematology Data Science Initiative

London, England, United Kingdom 4 days ago

Western Europe Practice Head - Data Science (Machine Learning/Artificial Intelligence (ML/AI)

London, England, United Kingdom 4 hours ago

Greater London, England, United Kingdom 3 weeks ago

City Of London, England, United Kingdom £450.00-£500.00 6 days ago

Greater London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 3 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 7 hours ago

Engineering Manager - Data Curation (Machine Learning)

London, England, United Kingdom 5 days ago

Manager, Forward Deployed Engineering and Data Science

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.