T&T_EAD: AI & Data_ ML Ops _All levels Full-time

Job description

Responsibilities: Looking for hands-on experienced candidates with experience in statistical analysis, Modelling, ML/AI, Deep Learning etc. with Python/R platforms.

Focussed industries are: BFSI/Retail/Telecom/Manufacturing/Automotive/FMCG/Healthcare/Pharma.

Skills Requirements:

• Graduate/Post graduate from Tier-I/II colleges
• 5 – 11 years of experience in Data Science
• Excellent presentation and communication skills (Oral and written) skills
• Is able to design and review new solution concepts using Time series forecasting, Regression/Classification Modeling and Clustering techniques.
• Good understanding of statistical concepts
• Experience in Machine learning and Deep learning
• Deep Expertise in either R / Python / SAS
• Knowledge of analytical models like pricing and promotion optimization segmentation, sales spend optimization and demand forecasting
• Should be able to evaluate & bring in advanced techniques to enhance the value-add for clients
• Should have experience in Cloud based analytics platform – Azure, GCP or AWS
• Good understanding and suitable familiarity with different DBMS – know SQL quite well

Stakeholder Management:

• Managing Stakeholder interactions by having regular updates and growing stakeholder engagement
• Meeting /exceeding quality and timeline expectations for all projects
• Designing, planning and scoping out projects with stakeholders
• Explaining project methodology and project approach to required stakeholders

Project Management and Training:

• Managing end to end deliverables of the project by adhering to timelines, project budgets and stakeholder expectations
• Ensuring that the Standard Operating Procedures are followed where applicable and all relevant documents are created and kept updated
• Working with juniors on projects and coach them on-the-job
• Conducting in-house training depending on teams requirements

Delivery:

• Providing high-end consulting to clients at the business head level to help them sharpen their business strategy by implementing analytical models. Manager should have an experience of supply chain doamin well
• Demonstrating excellence in engagement delivery, insightful thought leadership, strategic problem solving, high impact team management and strong client relations
• Managing the entire delivery and being responsible for all aspects of a project to and reflect our high-quality standards
• Understanding business problems and addresses them to solve client problems