Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Director

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 16+ years of hands on experience

Must Have:

• Strong project management skills to oversee and coordinate multiple data science projects, ensuring they are delivered on time and within scope while meeting expectations

• Demonstrated experience in providing strategic direction and leadership for a data science team, aligning initiatives with overall business goals

• Understanding of how advanced analytics solutions, AI/ML models, and operationalizing based on ML process are leveraged and delivered in Supply Chain domain

• In-depth knowledge of supply chain processes, logistics, inventory management, and demand forecasting within various industries

• Strong understanding of financial concepts and analytics to provide insights into budgeting, cost optimization, and financial forecasting

• Experience in developing demand forecasting models to optimize inventory levels, reduce stockouts

• Good knowledge of statistics, Data analysis hypothesis testing, and preparation for machine learning use cases

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

• Familiarity with prrogramming in SQL and Python/Pyspark to guide teams

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

Nice to have:

• 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

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

Yes

Job Posting End Date