At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
Manager - Data Science
Data and Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Management, Visualization, Business Analytics and Automation. The assignments cover a wide range of countries and industry sectors.
The opportunity
We are looking for a Manager - Data Science, proficient in Machine Learning and Python Programming will be responsible for developing and delivering solutions applying Machine Learning and other Advanced Analytics techniques which will be used to implement the EY SaT mergers and acquisition methodologies.
A Data Scientist & Information Analyst at EY:

• Uses scientific methods and technologies to analyse data, obtain knowledge and insights from the data and develop models and solutions that deliver value to the business. Creates cognitive services involving complex algorithms that collect data in a wide range of formats to automate processes, recommend actions and take decisions that help achieve a goal. Takes and processes data from various sources to analyse it and provide value through insights, reporting and data visualization techniques. Works with other Information Management & Analysis professionals, the program team, management and stakeholders to design and build analytics solutions in a way that will deliver business value.
• Key Skills Deep Learning, Image Processing and Analysis, Machine Learning, Natural Language Processing & Generation, Speech and Audio Processing and Analysis, Computational Thinking and Programming, Data Analysis and Interpretation, pricing optimization, trade promotion optimization, assortment modelling, marketing & sales analytics, Mathematics, Statistics & Operations Research, Problem solving / critical thinking, Analytical Thinking, Client Handling & Communication, customer analytics, customer segmentation, churn analytics, survival modelling, cohort analysis

Your key responsibilities

• Develop, Review and implement Solutions applying advanced Data Analytics techniques including but not restricted to Machine Learning, Deep Learning, Big Data and Visualization
• Understand, analyze and assess information to build strong KPIs related to customer & revenue growth management.
• Develop and implement pricing optimization, trade promotion optimization, assortment Modelling.
• Develop and implement customer analytics, churn, retention models.
• Develop and implement Linear and Non-Linear Optimization Models; Present Scenario study
• Troubleshoot, isolate and remediate model errors.
• Work and manage large to mid-size projects, and ensure smooth service delivery on assigned products, engagements and/or geographies.
• Work with project managers to study resource needs and gaps and devise alternative ways forward.
• Execute analytical experiments to help solve problems across sales and marketing domains.
• Provide expert reviews for all projects within the assigned subject.

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Skills and attributes for success

• Able to work creatively and systematically in a time-limited, problem-solving environment
• Loyal and reliable with high ethical standards
• Flexible, curious and creative, open for new things and able to propose innovative ideas
• Good interpersonal skills
• Team player, open, pleasure to work with and positive in a group dynamic
• Intercultural intelligence and experience of working in more than one country and/or multi-cultural teams with distributed delivery experience
• Ability to manage multiple priorities simultaneously to meet tight deadlines and drive projects to completion with minimal supervision

To qualify for the role, you must have

• Expert knowledge of CPR domain to utilize analytical, statistical, and programming skills to collect, analyze, and interpret large data sets.
• Experience on Projects focusing on customer, Market and Sales Analytics.
• Conceptually Strong in areas of Linear and Non-Linear Regression, Statistics, Time Series Forecasting, Linear and Non-Linear Optimization
• Experience of guiding teams on Projects focusing on Data Science and Communicating results to clients
• Familiar in implementing solutions in Azure Cloud Framework
• Excellent Presentation Skills
• 8 - 14 years of relevant work experience in developing and implementing Machine Learning Models- experience of deployment in Azure is preferred
• Experience in application of Linear and Non-Linear Regression, Statistics, Time Series Forecasting, Linear and Non-Linear Optimization
• Experience in working with Natural Language Processing Techniques
• Proficient in SQL
• Minimum of 5-8 years of programming in Python
• Experience with the software development life cycle (SDLC) and principles of product development, such as installation, upgrade and namespace management
• Willingness to mentor team members
• Solid thoughtfulness, technical and problem-solving skills
• Excellent written and verbal communication skills

Ideally, youll also have

• Ability to think strategically/end-to-end with result-oriented mindset
• Ability to build rapport within the firm and win the trust of clients
• Willingness to travel extensively and to work on client sites / practice office locations

What we look for

• A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment
• An opportunity to be a part of market-prominent, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide.
• Opportunities to work with EY SaT practices globally with prominent businesses across a range of industries

What we offer
EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations - Argentina, China, India, the Philippines, Poland and the UK - and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. Well introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

• Continuous learning: Youll develop the mindset and skills to navigate whatever comes next.
• Success, as defined by you: Well provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: Well give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: Youll be embraced for who you are and empowered to use your voice to help others find theirs.

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