EY - GDS Consulting - D&A - Python - Manager

Key Skills

Aartificial intelligence, Analytical and Problem solving, Data science techniques, Machine learning techniques, Python Programming, R Programming, SAS, Statistical modeling

Job Description

The AI team with EY GDS caters to clients across the globe through EY’s partner firms. The candidate should be able to manage multiple Data Science engagements, interact with clients and EY stakeholders, bringing in innovative ideas, methodologies and techniques; should be adept in developing high performing individuals and teams; should be capable of motivating team members and be a leader of the pack. Should be capable of identifying the most appropriate tools, methods and processes that is needed to solve the problem in hand.

Should work with the leadership in developing future strategies to position the Data Sciences team as the best-in-class within EY; develop POVs on Trusted AI, Explainable AI and any current trends in AI and Data Science.

Should have good presentation and articulation skills to explain the intricacies of Advanced Analytics solutions to a client in simple English. Must have a grab-the-opportunity attitude and a pleasing personality.

Competencies needed:

Technical skills:

• Should be an expert in one or more of these areas: Statistical Modeling, Operations Research, Machine Learning. Should have an aptitude to learn other areas if not already skilled.
• Should have handled deployment of ML models on-prem or on cloud.
• Analytic Problem Solving – Should have the capability to look at a problem from a top-down view and not through the lens of a technique.
• Planning: Should have the ability to contribute to operational and strategic planning.
• Industry Knowledge - Knowledge of what is happening in the world of Data Science and AI and the ability to apply this knowledge appropriately to diverse situations. 
• Integrated View- Ability to bring together both diverse point of views, data sources, techniques, to solve the client’s problem.
• Relationship Management - Ability to establish and build healthy working relationships and partnerships with clients, EY partners, senior leadership, peers and juniors. 
• Knowledge of analytical toolsets - Understands the elementary functions of Data Science packages of Python, R or SAS
• Getting Work Done Through Others – The ability to get work done through others. In this role, the person would be handling a team size of 15-30 people or more. People who prefer an Individual Contributor role need not apply.
• Inspiring Others – Should have the ability to motivate others. Should be a total people person.

Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Quantitative Methods or related field (Engineers with Data Science experience can also apply)
• Candidates with a or master’s degree or PhD in quantitative field preferred.
• Candidate with an MBA degree highly preferred.
• 10 years (M) / 15 years (SM) experience in applied advanced analytical role
• 5 years of experience (M) and 10 years (SM) of project and people management experience 
• 5 years of practical experience and familiarity with advanced data modeling techniques (linear/logistic regression, ARIMA, Cluster Analysis, Machine Learning, etc.)
• 5 years (M) and 10 years (SM) of experience working with business partners and building relationships