Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Science Manager

WeAreTechWomen
City of London
2 days ago
Create job alert
Job Description

Job Role: Data Science Manager


Location: London


Career Level: Manager


Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge.


We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too.


“Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and the communities in which we work and live. It is personal to all of us.” - Julie Sweet, Accenture CEO


As a team

We’ve been at the forefront of the Data and AI revolution and want you to help transform leading organisations and communities around the world. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries.


Accenture’s Data & AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture’s broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI.


You’ll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways.


If you’re looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting‑edge technologies and will have the opportunity to develop a wide range of new skills on the job.


In our team you will learn

  • At the forefront of the industry, you’ll create, own and make it a reality for clients looking to better serve their connected customers and operate always‑on enterprises.
  • Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on.
  • You will be working with famous brands and household names – no worrying about how to explain what you do to your family again!

In this role you will

  • Lead, motivate and inspire teams of Data Scientists
  • Create bespoke machine learning solutions to model/solve problems and to help develop the team
  • Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics
  • Understand business requirements and support the development of business cases
  • Run discovery analytics to identify new and innovative opportunities
  • Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects
  • Devise reusable assets, solutions and develop best practices for current and future business problems
  • Lead analytical discussions and influence analytical direction of client’s teams
  • Communicate and provide guidance to senior client leadership and teams
  • Contribute data science expertise to new sales activities

Qualification

We are looking for experience in the following skills:



  • Relevant work experience in data science, machine learning, and business analytics
  • Practical experience in coding language – e.g., Python, R, Scala, etc. (Python preferred)
  • Strong proficiency in database technologies – e.g., SQL, ETL, No‑SQL, DW, and Big Data technologies – e.g., PySpark, Hive, etc.
  • Experienced working with structured and also unstructured data – e.g., Text, PDFs, jpgs, call recordings, video, etc.
  • Knowledge of machine learning modelling techniques and how to fine‑tune those models – e.g., XGBoost, Deep Neural Networks, Transformers, ResNets, VAEs, GANs, Markov chains, etc.
  • Experience using specialized machine learning libraries – e.g., Fastai, Keras, Tensorflow, pytorch, sci‑kit learn, huggingface, etc.
  • Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge.
  • Experience of using Cloud technologies – e.g., AWS, GCP or Azure
  • Specialized visualisation techniques – e.g., D3.js, ggplot, etc.
  • Strong verbal/written communication & data presentation skills

Set yourself apart

  • Ability to lead large projects and drive through to completion
  • Mastery of problem solving and solutioning
  • Proven history and background in statistics/mathematics/macroeconomics

What’s in it for you

At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days’ vacation per year, gym subsidy, private medical insurance and 3 extra days leave per year for charitable work of your choice!


Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first‑class services we are known for.


Locations

London


Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.


Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.


Accenture is committed to providing veteran employment opportunities to our service men and women.


Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.


About Accenture

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.


We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.


At Accenture, we see well‑being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.


Join Accenture to work at the heart of change. Visit us at www.accenture.com.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager – Experimentation: Innovation & Research United Kingdom, London

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.