Data Science ManagerJob Role : Data Science Manager
Location : London
Career Level: Manager
Accenture is a leading global professional servicespany, 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 valuesprise 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 themunities 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 andmunities 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. Whenbined 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.
Be 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 deliverplex/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
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, 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.
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. , ggplot etc.
Strong verbal/writtenmunication & data presentation skills;
Set yourself apart:
Ability to lead large projects and drive through topletion
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 apetitive 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 servicespany, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. Webine unmatched experience and specialized capabilities across more than 40 industries - powered by the world's largest network of Advanced Technology and Intelligent Operations centers. With 509,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. Visit us at accenture
Accenture is an equal opportunities employer and wees applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law.
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,munities, and each 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 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 accenture
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.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Job ID R00264026
