Data Science - Retail Analytics - Manager

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Job Description - Data Science - Retail Analytics - Manager

Position: Manager

Industry: Retail

We are looking for experienced leaders with a strong analytical background (and overall professional experience of 8+ years) to work in our Analytics Consulting practice in Mumbai, Bangalore.

Domain: Range of Analytics (Descriptive to Advanced) depending on the client problem

About Acceleration Center Bangalore

At PwC, we connect people with diverse backgrounds and skill sets to solve important problems together and lead with purpose—for our clients, our communities and for the world at large. It is no surprise therefore that 429 of 500 Fortune global companies engage with PwC. Acceleration Centers (ACs) are PwC’s diverse, global talent hubs focused on enabling growth for the organization and value creation for our clients.The PwC Advisory Acceleration Center in Bangalore is part of our Advisory business in the US. The team is focused on developing a broader portfolio with solutions for Risk Consulting, Management Consulting, Technology Consulting,Strategy Consulting, Forensics as well as vertical specific solutions. PwC's high-performance culture is based on passion for excellence with focus on diversity and inclusion. You will collaborate with and receive support from a network of people to achieve your goals. We will also provide you with global leadership development frameworks and the latest in digital technologies to learn and excel in your career. At the core of our firm's philosophy is a simple construct: We care for our people. Globally PwC is ranked the 3rd most attractive employer according to Universum. Our commitment to Responsible Business Leadership, Diversity & Inclusion, work-life flexibility, career coaching and learning & development makes our firm one of the best places to work, learn and excel

Managers will work as an integral part of business analytics teams in India alongside clients and consultants in the U.S., leading teams for high-end analytics consulting engagements and providing business recommendations to project teams.

Education: Advanced Degree in a quantitative discipline such as Computer Science, Engineering, Econometrics, Statistics or Information Sciences such as business analytics or informatics

Required Skills: Successful candidates will have demonstrated the following skills and characteristics:

Must Have:

  • In-depth knowledge of the retail sector, including understanding consumer behavior, market trends, supply chain dynamics, and the unique challenges faced by retail businesses
  • Knowledge of retail analytics, including category management, shelf optimization, and sales performance analysis
  • Experience in developing demand forecasting models, optimizing inventory management strategies
  • Hands-on experience in the machine learning domains such as Regression, Classification, Unsupervised ML, Ensembles & Deep Learning
  • Experience in Data analysis For e.g : data cleansing, standardization and data preparation for the machine learning use cases
  • Experience in machine learning frameworks and tools (For e.g. scikit-learn, mlr, caret, H2O, TensorFlow,, Pytorch, MLlib)
  • Advanced level programming in SQL and Python/Pyspark to guide teams
  • Expertise with visualization tools For e.g : Tableau, PowerBI, AWS QuickSight etc.
  • Ability to mentor and guide junior team members and act as an SME for all modeling and analytics deliverables

Nice to have:

  • Experience in building ML models in cloud environments (At least 1 of the 3: Azure ML, GCP’s Vertex AI platform, AWS SageMaker)
  • Working knowledge of containerization ( e.g. AWS EKS, Kubernetes), Dockers and data pipeline orchestration (e.g. Airflow)
  • Experience with model explainability and interpretability techniques
  • Multi-task and manage multiple deadlines. Responsible for incorporating client/user feedback into the Product
  • Ability to think through complex user scenarios and design simple yet effective user interactions
  • Good Communication and presentation skills

Roles and Responsibilities:

Leadership

  • Help Analytics Insights Practice make a bigger impact in Firm’s overall positioning in the market
  • Work closely with Analytics Insights Practice leadership in leading the team and develop capabilities

Project Delivery and Management

  • Manage client proposals, presentations, and act as subject matter expert on analytics discussions
  • Structure the approach and deliverables for multiple analytics engagements simultaneously manage team members proactively
  • Help junior members develop the analytics path to align with overall project objective
  • And mentor juniors and team members on analytics and project delivery best practices
  • Develop storylines and make presentations

Firm Building & Intellectual Capital Development

  • Contribute to research, white papers, blog, and other IC development activities

Subject Matter Expert

  • Keep abreast of market developments, identify growth opportunities
  • Help Partners/Directors across the firm in selling analytics projects by acting as a subject matter expert on business development initiative

What we offer:

At PwC, we care for the mental & physical well being of our people and respect the flexibility that is needed in these difficult times. Keeping these factors in mind, we have introduced policies around Work From Home / Anywhere and flexible working hours.

• Mid-year appraisal cycle to reward performance on time

• Opportunities to solve problems which matter to our clients and have a strong, long lasting impacts

• Continuous learning and upskilling opportunities nurturing you to become a better leader and consultant of tomorrow. We provide you access to Massive Online Open Courses (MOOC) at no cost.

• A world class leadership to guide you on gaining expertise across various functions and a top notch diverse peer group to support you throughout the journey

• Interaction with the senior client leadership and a chance to meet them in person by visiting client locations (as needed) and/or permanent relocation

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