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PwC Intelligence_Insights Factory_Senior Associate_Data Science_Consumer Market

PwC Intelligence_Insights Factory_Senior Associate_Data Science_Consumer Market

PwC Acceleration Centers in India

0 years

0 Lacs

Mumbai Maharashtra India

Posted:2 weeks ago| Platform:

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Skills Required

pwc data analytics engineering design learning extract drive analysis leadership engagement analyze strategy pricing segmentation optimization support cutting testing effectiveness reports tableau power looker service sql alteryx python metrics inventory forecasting

Work Mode

On-site

Job Type

Full Time

Job Description

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.You will play a crucial role in organizing & maintaining proprietary datasets and transforming data into insights & visualizations that drive strategic decisions for our clients and the firm. You’ll work closely with the industry leader & a number of cross-functional retail & consumer advisory, tax and assurance professional teams to develop high-impact, commercially relevant insights to infuse into thought leadership, external media engagement, demand generation, client pursuits, & delivery enablement.

Knowledge and Skills Preferred

(Note: One section but can be separate paragraphs):Demonstrates in- depth level abilities and/or a proven record of success managing efforts with identifying and addressing client needs:

As a critical member of a team of Retail and Consumer data scientists, maintain and analyze large, complex datasets to uncover insights that inform topics such as consumer sentiment, future business trends/challenges, insights around cyclical consumer related events (eg holidays, back to school, Super Bowl, etc), business strategy, pricing, promotions, customer segmentation, and supply chain optimization;
Support in the identification of new, cutting-edge datasets that add to the firm's differentiation amongst competitors and clients;
Support in building predictive models and data-led tools;
Design and conduct experiments (A/B testing, market basket analysis, etc.) to measure the effectiveness of new approaches and drive continuous improvement;
Partner with US team to translate analytical findings into actionable recommendations and compelling stories;
Develop dashboards and reports using tools like Tableau, Power BI, or Looker to support self-service analytics and decision-making;
Stay up to date and ahead of industry trends, customer behavior patterns, and emerging technologies in the consumer and retail landscape;
Experience managing high performing data science and commercial analytics teams;
Strong SQL and Alteryx skills and proficiency in Python and/or R for data manipulation and modeling;
Experience applying machine learning or statistical techniques to real-world business problems;
Solid understanding of key retail and consumer metrics (e.g., CLV, churn, sales velocity, basket size, etc.);
Proven ability to explain complex data concepts to non-technical stakeholders;
Experience with retail and consumer datasets such as Circana, Yodlee, Pathmatics, Similar Web, etc;
Knowledge of geospatial or time-series analysis in a retail setting; and,
Prior work with pricing optimization, inventory forecasting, or omnichannel analytics.

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