Data scientist/Analyst

PwC; Gurugram District, Bengaluru, Hyderabad; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

PwC India invites an experienced data science leader to drive analytics initiatives in supply chain and operations. You will translate complex data into actionable insights and mentor teams to deliver data-driven strategies that improve performance and growth.

Ideal candidates have 8+ years of experience, strong English, and deep knowledge of forecasting, optimization, and cloud-based analytics. You will guide cross-functional teams, oversee projects, and promote innovative methodologies with

Qualifications

• At least a Bachelor's degree required.
• At least 8 years of experience in data science or analytics.
• English proficiency (oral and written) required.
• Strong supply chain domain knowledge (inventory planning, demand forecasting, logistics).
• Hands-on experience with optimization methods (linear programming, MILP); familiarity with solvers like Gurobi is a plus.
• Proficiency in forecasting methods (Holt-Winters, ARIMA, SARIMA, Prophet) and ML techniques.
• Experience with at least one major cloud platform (AWS/Azure/GCP).

Responsibilities

• Leading data science initiatives to transform raw data into insights for decision-making.
• Guiding teams in applying analytics and statistical techniques to solve business problems.
• Developing data-driven strategies to enhance growth and performance.
• Using machine learning and AI tools to create predictive models and visualizations.
• Overseeing data solution design and ensuring data quality and integrity.
• Collaborating with cross-functional teams to identify data opportunities and innovations.
• Mentoring team members to develop skills in data science and analytics.
• Managing project timelines and deliverables to meet client expectations.
• Encouraging adoption of innovative technologies within data science teams.
• Addressing challenges with clients and stakeholders to foster collaboration.

Skills

English proficiency

Supply chain knowledge

Forecasting techniques

Machine learning basics

Optimization methods

Cloud platforms

Education

Bachelor's degree

Tools

Gurobi

AWS

Azure

GCP

Job description

Responsibilities

• Leading data science initiatives to transform raw data into actionable insights for informed decision-making
• Guiding teams in the application of advanced analytics and statistical techniques to solve complex business problems
• Developing and implementing data-driven strategies to enhance business growth and performance
• Utilizing machine learning and artificial intelligence tools to create predictive models and data visualizations
• Overseeing the design and development of robust data solutions, confirming data quality and integrity
• Collaborating with cross-functional teams to identify opportunities for data utilization and innovation
• Mentoring team members to leverage their strengths and develop their skills in data science and analytics
• Managing project timelines and deliverables to meet client expectations and drive successful outcomes
• Encouraging the adoption of innovative technologies and methodologies within data science teams
• Addressing challenges and conflicts with clients and stakeholders, fostering a collaborative work environment

What You Must Have

• At least a Bachelor's degree
• At least 8 years of experience
• Oral and written proficiency in English required
• Strong supply chain domain knowledge (inventory planning, demand forecasting, logistics)
• Well versed and hands-on experience of working on optimization methods like linear programming, mixed integer programming, scheduling optimization. Having understanding of working on third party optimization solvers like Gurobi will be an added advantage
• Proficiency in forecasting techniques (e.g., Holt Winters, ARIMA, ARIMAX, SARIMA, SARIMAX, FBProphet, NBeats) and machine learning techniques (supervised and unsupervised)
• Experience using at least one major cloud platform (AWS, Azure, GCP).