Data Science Analyst - Senior Manager

PwC; Hyderabad, Gurugram District, Bengaluru; Hybrid; INR 3,500,000 - 7,000,000; Full time

Job summary

PwC is seeking a senior data science leader to drive advanced analytics initiatives in Hyderabad. You will design and implement data products, guide teams through complex problems, and ensure adoption of best practices in governance, observability, and scalable data engineering.

Strong experience with cloud AI platforms and a proven track record in delivering production-grade AI systems is essential. Fluency in English and a minimum Bachelor's degree are required.

Qualifications

• Bachelor's degree required.
• 12+ years of experience.
• Proficiency in English (oral and written).
• Experience with enterprise cloud AI platforms.
• Knowledge of AI governance platforms and observability tools (LangSmith, Arize).
• Ability to make LLM selection decisions based on cost, latency and compliance.

Responsibilities

• Leading design and development of advanced data solutions.
• Drive data-driven decision-making via analysis and modeling.
• Develop and implement data visualizations for business problems.
• Manage and coach teams to solve complex data challenges.
• Apply systems thinking to data projects and identify opportunities.
• Validate outcomes with clients and iterate on feedback.
• Navigate ambiguous situations while maintaining composure.
• Promote innovative technologies and leading practices in data science.
• Build relationships with stakeholders to address data challenges.
• Oversee deployment of scalable data engineering solutions.

Skills

Leadership

Data science

Cloud platforms

LLM selection

AI governance

Business analytics

Education

Bachelor's degree

Tools

Azure AI Foundry

Microsoft Fabric

Purview

Amazon Bedrock

Google Vertex AI

BigQuery

Agentspace

LangSmith

Arize

Job description

Data Science - Senior Manager

Leading the design and development of advanced data solutions to transform raw data into actionable insights

• Driving data-driven decision-making through exploratory and descriptive analysis and statistical modeling
• Utilizing advanced analytics and statistical techniques to extract insights from large datasets
• Developing and implementing data visualizations to solve complex business problems and inform strategic decisions
• Managing and coaching teams to apply sound judgment and solve through complexity
• Applying systems thinking to identify underlying problems and opportunities within data projects
• Validating outcomes with clients and acting on feedback to enhance project success
• Directing teams through ambiguous and challenging situations while maintaining composure
• Promoting the use of innovative technologies and leading practices in data science and analytics
• Building and maintaining relationships with stakeholders to identify and address data challenges
• Overseeing the deployment of scalable data engineering solutions to support business growth

What You Must Have

• At least a Bachelor's degree
• At least 12 years of experience
• Oral and written proficiency in English required
• Experience with enterprise cloud AI platforms
• Azure AI Foundry integrated with Microsoft Fabric and Purview, Amazon Bedrock with Knowledge Bases and Guardrails, or Google Vertex AI with BigQuery and Agentspace for building, governing, and deploying production-grade Gen AI and Agentic AI solutions at scale.
• Awareness of AI governance platforms and observability tools (LangSmith, Arize, etc.) for monitoring, tracing, and debugging production AI systems.
• Capable of LLM selection decisions (GPT, Claude, Gemini, Llama, Mistral, etc.) against enterprise requirements including cost, latency, and compliance

What Sets You Apart

• Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
• Demonstrating advanced skills in data science algorithms and workflows
• Utilizing machine learning and deep learning techniques for innovative solutions
• Leading complex data engineering projects with a focus on operational excellence
• Applying systems thinking to identify and solve underlying problems
• Excelling in strategic questioning and data-driven decision making
• Validating outcomes with clients and acting on feedback to drive results