Data Science – Retail Analytics- Senior Associate

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

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 6+ years of hands on experience

Must Have:

• In-depth understanding of the retail sector, including consumer behavior, supply chain dynamics, inventory management, demand planning and forecasting and industry trends

• Proficiency in analyzing large datasets related to retail operations, customer transactions, and market trends to extract actionable insights for clients

• Experience in developing demand forecasting models, optimizing inventory management strategies

• Proficiency in statistical methods and forecasting algorithms , using both time – series based and machine learning and deep learning based methods  for analyzing data sets

• Strong understanding and hands-on experience with machine learning and deep learning algorithms and techniques such as supervised and unsupervised learning, classification, clustering, and anomaly detection

• Experience in Data analysis For e.g: data cleansing, standardization and data preparation for the machine learning use cases

• Proficient in working with relational databases (e.g., SQL) and NoSQL databases

• Experience with data warehousing and data lakes

• Experience in machine learning frameworks and tools (For e.g. scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch,  MLlib)

• Advanced level programming in SQL or Python/Pyspark 

• Expertise with visualization tools For e.g: Tableau, PowerBI, AWS QuickSight etc. 

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)

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