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, youβll 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:
Solid knowledge and experience of supervised, unsupervised machine learning algorithms. For e.g (but not limited to): linear regressions, bayesian regressions, multi objective optimization techniques, classifiers, cluster analysis, dimension reduction etc.
Understanding of techniques like Price Elasticity models, Sales Promo Uplift Modelling.
Good knowledge of statistics For e.g: statistical tests & distributions
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.
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?
No
Job Posting End Date