Data Science Manager
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 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!
- Lead, motivate and inspire teams of Data Scientists
- Create bespokemachine learningsolutions to model/solve problemsandto help develop the team
- Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics
- Understand business requirementsand support the development of business cases
- Run discovery analytics to identify new and innovative opportunities
- Partner with developers and engineers to deploy, embed and scalemachine learning modelsto delivercomplex/critical projects
- Devise reusable assets, solutions and develop bestpracticesfor current and future business problems
- Lead analytical discussions and influence analytical direction ofclient'steams
- Communicate and provide guidance to senior client leadership and teams
- Contribute data science expertise to new sales activities
- Relevant work experience in data science, machine learning, and business analytics
- Practical experience in coding languageseg.Python, R, Scala, etc.(Python preferred)
- Strong proficiency in database technologieseg.SQL, ETL, No-SQL, DW, and Big Data technologieseg.pySpark, Hive, etc.
- Experienced working with structured and also unstructured dataeg.Text, PDFs, jpgs, call recordings, video,etc.
- Knowledge of machine learning modelling techniquesand how to fine-tunethosemodelseg.XGBoost, Deep Neural Networks, Transformers,ResNets,VAEs, GANs,Markov chains, etc.
- Experience using specialized machine learning librarieseg.Fastai,Keras,Tensorflow,pytorch, sci-kit learn,huggingface,etc.
- Must demonstrate the capacity of reading, understanding and implementingnew techniques in the field of machine learning as they emerge.
- Experience of using Cloud technologieseg.AWS, GCP or Azure
- Specialisedvisualisationtechniqueseg.D3.js,ggplotetc.
- Strong verbal/written communication & data presentation skills;
- Ability tolead large projects and drive through to completion
- Mastery of problem solving and solutioning
- Proven history and background in statistics/mathematics/macroeconomics
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