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.
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.
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 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.
- 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 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.
Equal Employment Opportunity Statement
All employment decisions shall be made without regard to age, race, creed, colour, 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 applicable law.
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