Minimum Qualifications:
Master’s in Business Administration from top B Schools.
Bachelor's degree in Statistics, Computer Sciences, Maths, Operations Research or other related fields.
Additional degree or certifications in the field related to the data science/Analytics is preferred.
Minimum Experience:
Minimum 4 years of experience in Data Science (Analytics, BI, ML Modeling, Dep learning Algorithms and ML Ops) in BFSI Sector
Typically
2+ years
of relevant quantitative andqualitative research and analytics experience.
Knowledge, Skills, and Attributes:
Knowledge and Skills
Ability to independently manage analytics engagements from start to finish, delivering
actionable insights within established timelines and budget.
Excellent understanding of machine learning and Artificial Intelligence(AI) techniques and algorithms, such as k-NN, Naive Bayes, SVM, Random Forests, Deep Learning etc.
Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
The ability to come up with solutions to loosely defined business problems by leveraging pattern
detection over potentially large datasets.
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.
Strong programming skills and hands on experience on statistical modelling packages (like SAS, R or Python).
Experience in building a multigenerational scalable platform.
Strong communication skills with ability to expresses technical and business concepts, ideas, feelings, opinions, and conclusions verbally and in writing. Listens attentively and reinforces words through empathetic body language and tone.
Experience leading teams.
In-depth industry/business knowledge.
Attributes
Change Advocate:
Identifies and acts upon opportunities for continuous improvement. Encourages prudent risk-taking, exploration of alternative approaches, and organizational learning.
Conceptual & Innovating Thinking:
Synthesizes facts, theories, trends, inferences, and key issues and/or themes in complex and variable situations. Recognizes abstract patterns and relationships between apparently unrelated entities or situations.
Leadership:
Leads members of formal and informal groups in the pursuit of common
Missions, vision, values and mutual goals. Places team needs and priorities above personal needs. Involves others in making decisions that affect them. Draws on the strengths of colleagues and gives credit to others' contributions and achievements.
