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- Tasks: Lead and inspire teams to create innovative data science solutions.
- Company: Accenture is a global leader in professional services, driving innovation across industries.
- Benefits: Enjoy 30 days vacation, gym subsidies, private medical insurance, and extra leave for charity work.
- Why this job: Join a vibrant culture that values diversity and offers boundaryless career opportunities.
- Qualifications: Experience in data science, machine learning, and proficiency in coding languages like Python.
- Other info: Work with renowned brands and cutting-edge technologies in a dynamic environment.
The predicted salary is between 43200 - 72000 £ per year.
Job RoleData Science Manager
LocationLondon
Career LevelManager
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.
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 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
We are looking for experience in the following skills:
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;
Set yourself apart:
Ability tolead 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 YouAt 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 AccentureAccenture 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. We combine 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 www.accenture.com
Accenture is an equal opportunities employer and welcomes 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.
Job Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: IT Services and IT Consulting
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Data Science Manager employer: Accenture UK & Ireland
Contact Detail:
Accenture UK & Ireland Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager
✨Tip Number 1
Familiarise yourself with Accenture's core values and culture. Understanding their commitment to inclusion, diversity, and innovation will help you align your approach during interviews and discussions, showcasing that you are a good fit for their team.
✨Tip Number 2
Network with current or former employees of Accenture, especially those in the Data Science field. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage during your application process.
✨Tip Number 3
Stay updated on the latest trends and technologies in data science and AI. Being able to discuss recent advancements or case studies during your interview will demonstrate your passion for the field and your proactive approach to learning.
✨Tip Number 4
Prepare to discuss specific projects where you've successfully led teams or solved complex problems using machine learning. Highlighting your leadership skills and problem-solving abilities will resonate well with Accenture's focus on driving business change through data.
We think you need these skills to ace Data Science Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, machine learning, and business analytics. Use keywords from the job description to demonstrate that you meet the specific requirements Accenture is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how your skills align with Accenture's values of inclusion and innovation. Mention specific projects or experiences that showcase your ability to lead teams and solve complex problems.
Showcase Technical Skills: Clearly outline your proficiency in coding languages like Python and R, as well as your experience with database technologies and machine learning libraries. Provide examples of how you've applied these skills in previous roles.
Demonstrate Leadership Experience: Highlight any past leadership roles or projects where you motivated and inspired teams. Accenture values strong leadership, so be sure to provide concrete examples of how you've driven projects to completion.
How to prepare for a job interview at Accenture UK & Ireland
✨Showcase Your Technical Skills
As a Data Science Manager, you'll need to demonstrate your proficiency in coding languages like Python and R. Be prepared to discuss your experience with machine learning techniques and libraries, as well as your familiarity with database technologies. Highlight specific projects where you've successfully applied these skills.
✨Understand Accenture's Values
Accenture places a strong emphasis on inclusion, diversity, and integrity. Familiarise yourself with their core values and be ready to discuss how your personal values align with theirs. This will show that you are not only a technical fit but also a cultural one.
✨Prepare for Problem-Solving Scenarios
Expect to face case studies or problem-solving scenarios during the interview. Practice articulating your thought process clearly and logically. Use examples from your past experiences to illustrate how you've tackled complex business problems using data science.
✨Communicate Effectively
Strong verbal and written communication skills are crucial for this role. Be prepared to explain complex data science concepts in simple terms, especially when discussing your work with non-technical stakeholders. Practise presenting your ideas clearly and confidently.
