What you will do:

• Develop predictive models using Machine Learning algorithms (SVM, Random Forest, Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, linear regression, PCA, etc. ).
• Engaging with clients, understanding complex problem statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc.
• Contribute to internal product development initiatives related to data science.
• Develop a data science roadmap, and guide data scientist to meet their deliverables.
• Handling end-to-end client AI and analytics programs.
• Your role will be a combination of hands-on contribution, technical team management, and client interaction.
• Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights.
• Drive excellent project management required to deliver complex projects, including effort/time estimation.
• Be proactive, with full ownership of the engagement.
• Build scalable client engagement-level processes for faster turnaround and higher accuracy.
• Define Technology/ Strategy and Roadmap for client accounts and guide implementation of that strategy within projects.
• Run regular project reviews and audits to ensure that projects are being executed within the guardrails agreed upon by all stakeholders.
• Manage the team members, to ensure that the project plan is being adhered to over the course of the project
• Manage the client stakeholders, and their expectations, with a regular cadence of weekly meetings and status updates.
• Build a trusted advisor relationship with the IT management at clients and internal accounts leadership.
• Build a business case for technological investments to be made for future needs and to remain competitive.
• Ensure that billing and utilization of team members is maximized throughout the year.

What makes you a great fit:

• Experience in Programming (Python, R, SQL, NoSQL, Spark) with ML tools and Cloud Technology (AWS, Azure, GCP).
• Experience in Python libraries such as NumPy, pandas, scikit-learn, tensor-flow, scapy, scrappy, BERT, etc.
• Good understanding of statistics, and ability to design statistical hypothesis testing to aid formal decision-making.
• Experience designing data science solutions to business problems.
• Deep understanding of ML algorithms for common use cases in both structured and unstructured data ecosystems.
• Comfortable with large-scale data processing and distributed computing.
• Allocates workload among team members by taking into consideration employee availability, skill set, and current workload when making assignments.
• Providing required inputs to sales, and pre-sales activities.
• Excellent written and verbal communication skills.
• 4- 8 years of relevant Machine Learning experience.
• Minimum Master's Degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning, or related technical fields from Teir 1 Colleges preferred.