Data Science – Sr Manager

Analytics & AI - Senior Manager

Job Location: Bangalore, India

Drive development and delivery of top notch analytical solutions to clients efficiently.
Lead development of implementation plan, logic and modules to embed in client solutions and client discussion ready documents /presentations.
Drive development of actionable, clean, maintainable, testable, reusable, extensible codes, including standardization and automation of processes.
Provide technical and functional guidance to team members through expert knowledge and hands-on support.
Manage projects, resource utilization and overall deliveries to business clients.
Proactively drive discussions with stakeholders to understand their business requirements, business context and guide team to provide robust actional solutions.
Effectively engage with stakeholders – create and nurture and deepen relationships.
Ensure positive & creative work-environment, culture of collaborations, speak-up, high level of energy & enthusiasm, curiosity to learn and continuous improvement.
Drive researching and conceptualizing solution approaches, new techniques or solution frameworks and author high quality discussion papers.
Inspire, engage, motivate and provide constructive feedback to team members to develop their technical & soft skills and fully support their development aspirations.

Masters or PhD in engineering / mathematics / statistics / operations research / economics or any quantitative area or MBA with quantitative background.
10 + years of relevant hands-on experience and knowledge in analytics, data science, decision science and AI / ML developments.
5+ years of experience of managing projects, team and business stakeholders.
Expert knowledge and experience in analytical language coding – Python, R, SAS and other similar preferably in cloud environment and knowledge of popular BI tools.
Knowledge and experience of different data mining approaches, solution frameworks and modeling techniques.
High proficiency and knowledge in at least one analytics domain – marketing & customer, product & pricing, channel & digital, credit risk and regulatory risk.
Excellent communication and inter-personal skills.
Experience of working in a fast-paced environment and make quality decisions in moderately to high ambiguous work environment.
Knowledge and previous work experience in financial services is preferred.
Knowledge and experience of agile methodologies is a plus.

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