Senior Manager I, Data Science

Based in Hyderabad, the Senior Manager I, Data Science role at EY presents a unique opportunity to lead a team of data scientists focused on diagnostic, predictive, and prescriptive analytics projects that enable data-driven business decisions. EY, a global leader in assurance, tax, transaction, and advisory services, integrates technology deeply into its operations and client solutions. As part of the Client Technology unit, you will work closely with technologists and business professionals to incorporate emerging technologies such as AI and data analytics, driving innovation and growth. This position involves managing large-scale analytics initiatives, applying advanced data mining and statistical techniques, and supporting strategic decision-making across various domains including marketing, supply chain, and economics.

Key Responsibilities
- Lead and manage a team of data scientists handling a diverse portfolio of analytics projects that support business decision-making processes.
- Assist in the execution of tactical plans to implement data science strategies aimed at enhancing company performance and maintaining competitive advantage.
- Oversee comprehensive diagnostic, predictive, and prescriptive analytics efforts, developing alternative modeling approaches to improve analytical capabilities.
- Identify and resolve data inconsistencies, document assumptions, address data gaps, and provide coaching and mentorship to team members.
- Ensure quality control and conduct risk assessments for methodologies, models, outputs, and processes involved in major data science projects.
- Collaborate with internal stakeholders to understand business processes, structure analytic requests, and translate requirements into effective analytic solutions.
- Lead test design, research design, and model validation activities, offering statistical consultation and acting as an analytics expert on cross-functional teams.
- Evaluate emerging technologies and manage vendor relationships related to big data analytics tools and platforms.
- Design data mining frameworks and statistical protocols to extract and monitor patterns within large datasets across multiple business domains.
- Apply advanced data science principles and machine learning techniques to develop models that support strategic initiatives in marketing, economics, and operations.
- Contribute to data-driven innovation by participating in scientific research projects aimed at expanding analytical capabilities.

Required Qualifications
- A minimum of 10 years’ experience in analytical roles with progressive leadership responsibilities in data science and large-scale analytics projects.
- Bachelor’s degree in Analytics, Applied Mathematics, Economics, Statistics, Computer Science, or a related quantitative discipline; a Master’s degree is preferred.
- Strong expertise in data wrangling, big data technologies, statistical modeling, and machine learning.
- Hands-on experience with data science programming tools such as Python, R, SQL, and advanced analytics platforms.

Preferred Qualifications and Benefits
- Excellent verbal and written communication skills, along with strong facilitation, relationship-building, presentation, and negotiation abilities.
- Highly adaptable, creative, and comfortable engaging with senior executives both internally and externally.
- Demonstrated teamwork, strong work ethic, client centricity, and alignment with EY’s core values.
- Competitive remuneration with a comprehensive Total Rewards package, including flexible working options and career development support.
- Personalized benefits through FlexEY, covering holidays, health and well-being, insurance, savings, and discounts.
- Opportunities for coaching, feedback, skill development, and career progression within a globally connected, diverse, and innovative environment.

EY is dedicated to building a better working world by creating new value for clients, people, society, and the planet. Leveraging data, AI, and advanced technology, EY teams help clients confidently shape the future, addressing today’s most pressing challenges through a broad spectrum of services across more than 150 countries.