Data Science – Retail Analytics- Manager

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

As part of our Analytics and Insights Consumption team, you’ll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You’ll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights.

Years of Experience: Candidates with 8+ years of hands on experience

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

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

0%

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date