Understand the client’s business & related industry issues / trends.
Develop strong working relationships with the client and onshore client teams
Maintain excellent rapport and proactive communication with the client
Market Leadership
Participate / support business development initiatives.
Support multiple innovation initiatives to enhance existing solutions leveraging emerging technologies like Robotics, AI, Advanced Analytics
Support the practice in developing thought leadership content and other innovation initiatives from time to time.
Quality delivery
Independently execute assignments, where required
Manage multiple assignments and related project teams.
Meet quality guidelines within the established turnaround time (or allotted budget) for assigned requests.
Constantly monitor project progress, manage risk and verify key stakeholders are kept informed about progress and expected outcomes.
Demonstrate application and solution-based approach to problem solving while executing client engagements and documenting working papers.
Anticipate and identify engagement related risks and escalate issues as appropriate on a timely basis.
Identify process gaps and accordingly provide recommendation in areas requiring improvement based on the client's business process and industry practice.
Mentor and coach junior team members, enabling them to meet their performance goals and successfully grow their careers.
Operational
Ensure compliance with risk management strategies, plans and activities of the firm.
Manage the engagement budgets and support superiors in developing marketing collaterals, business proposals and new solution / methodology development.
Supporting the engagement manager in planning and scheduling optimum staff levels for engagements.
Requirements :
Experience in building and deploying Machine Learning models in production systems
Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to the business problem or opportunity at hand
Strong programming skills: comfortable with Python - pandas, NumPy, SciPy, matplotlib; Databases - SQL and NoSQL
Knowledge of AWS/Azure and Data Warehousing
Should have excellent knowledge of visualization tools like Tableau, Power BI etc.
Strong communication skills: ability to both formulate/understand the business problem at hand as well as ability to discuss with non-data-science background stakeholders
Comfortable dealing with ambiguity and competing objectives