Job Description

6.00 to 10.00 Years
This is a pre-sales and technology/functional consulting role combined into one. S/He will be expected to work with customers in identifying client requirements/pain points that can be addressed using AI. This will include problem solving, hypothesis testing, first level of advanced analysis, discussing which ML models & solutions that might be fit for purpose.The consultant will collaboratively work along with senior engagement managers & lead a team of analysts and data scientists across the globe.Position expectations in detail: Solve business problems & develop business solution: Use problem solving methodologies to propose creative solutions to solve business problem. Recommend design and develop state of the art data driven analysis using statistical & advanced analytics methodologies to solve business problems. Develop models & recommend insights. Form hypothesis and run experiments to gain empirical insights and validate hypothesis. Identify and eliminate possible obstacles and identify alternative creative solution. Client relationship management: Build deep client relationship, network & be a thought partner. Anticipate business problems & deliver par excellence. Sales support & account growth: Actively focus on opportunities to grow the client along with the senior engagement manager. Support the sales team as required for RFPs and regular sales pitches Project management: Have a good understanding of project management principles to provide cover to the offshore engagements from AI point of view Coaching & grooming: Coach & groom the team on gaining knowledge & skills on first principles of analytics techniques, problem solving, project management, client relationship management & team work skills. Conduct regular reviews with team members.Skills & Qualifications: Over all experience of 6 to 10 yrs. with at least 3 to 4 years of hands on experience in running data analytics projects Knowledge of data conversion strategy, capturing data, creating source to target definitions for ETL/ data flow process, data quality and data base management