CareerMoonshot

Data Science Manager

Accenture

via workdayFirst listed here 2026-08-17
Apply on company site ↗
Career Moonshot pulls this listing straight from the employer's hiring system — no recruiter middleman, no reposts. Applying takes you directly to Accenture.
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 with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO   As a team:   The Data and AI revolution is changing everything. It’s everywhere – transforming how we work and play. Join Accenture and 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. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance.   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    We are looking for experience in the following skills:   Relevant work experience in data science, machine learning, and business analytics   Practical experience in coding languages  eg.  Python, R, Scala, etc.( Python preferred)    Strong proficiency in database technologies  eg.  SQL, ETL, No-SQL, DW, and Big Data technologies  eg.   pySpark , Hive, etc.   Experienced working with structured and also unstructured data  eg.  Text, PDFs, jpgs, call recordings, video, etc.   Knowledge of machine learning modelling techniques  and how to fine-tune those models  eg.   XGBoost , Deep Neural Networks, Transformers,  ResNets , VAEs, GANs, Markov chains, etc.   Experience using specialized machine learning libraries  eg.   Fastai ,  Keras ,  Tensorflow ,  pytorch , sci-kit learn,  huggingface , etc.   M ust demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge .     Experience of using Cloud technologies  eg.  AWS, GCP or Azure   Specialised visualisation techniques  eg.  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.   About Accenture   Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capa

Browse all locations