Analytics:Create new insights from predictive statistical modeling activities that
target and deliver value to our clients.

Reports to:
Analytics and Modeling Senior Manager

General role description: The function focuses on
delivering advanced analytics as a service.

Primary Job Responsibilities:

·Leads the delivery of strategic advanced
analytics solutions across different industries

·Provide analytics insights and solutions to
solve business problems that are specific to client requirements

·Leverage analytics within transformation
projects in operations through maturity assessments and one-time analytics
projects

·Support operations in fact-based decision
making, RCA and strategic initiatives through data analysis, text analysis and
statistical modeling.

·Follow multiple approaches for project execution

·Adapt existing assets to Operations use cases

·Explore third-party and open source solutions
for speed to execution and for specific use cases

·Engage in fundamental research to develop novel
solutions

·Collaborate with other data scientists, subject
matter experts, sales, and delivery teams from company locations around the
globe to deliver strategic advanced analytics projects from design to
execution.

·Build and manage analytics team for at least two
towers

Education & Experience Requirements:

·Master’s or Ph.D. degree in Statistics,
Mathematics, Computer Science, Economics, Physics, Engineering, or related
scientific disciplines

·Work experience of at least 10 years in relevant
industries (Financial Services, Network, Utilities, Health Care, Marketing,
Pharma, Retail etc.) – with hands on experience handling data-driven decisions

·Experience in statistical modeling, machine
learning, data mining, unstructured data analytics in corporate and/or academic
research environments

·Expert in statistical and other tools/ languages
– e.g. R, S-plus, SAS, STATA, Python, C, C++, Java, Scala

·Familiarity with relational databases and
intermediate knowledge of SQL

·Proven background in at least one of the
following: Reliability models, Markov Models, Stochastic Models, Bayesian
Modelling, Classification Models, Cluster Analysis, Neural Network,
Non-parametric methods, Multivariate statistics

·Aptitude to learn, think creativity to solve
real world business problems, and work in a global collaborative team
environment

·Proficient verbal and written communication
skills in English

Nice to Have:

·Hands on experience in developing and delivering
machine learning models that work in a production setting

·Experience working with large data sets and
tools like MapReduce, Hadoop, Hive, etc. and large data streaming technologies
like Spark, Flink, etc.

·Experience in any of these domains:
Infrastructure Services, Security, Retail, Digital Marketing, eCommerce,
Insurance, Supply Chain, Banking, Capital Markets, etc.

Functional Skills Required:

·The knowledge and ability required to design,
develop and deliver people and process solutions for clients and company. A
specific knowledge and ability typically needed to fulfil responsibilities
associated with work done and consistent with a talent segment and role.

·Has mastered the following skills:

oBusiness Analysis, Requirements Gathering

oAnalytics Solutions Design Skills

oStakeholder Management Skills

oProject Management Skills

oStory Telling or Communication Skills

oCritical Thinking and Problem-Solving Skills

· Technical Skills Required:

The knowledge and ability required to design,
develop and deliver IT, platform, architecture, software and infrastructure
solutions for clients.

·Has advanced technical skills on the ff:

oData Visualization and Business Intelligence

oData Mining knowledge

oData Management

·Has expert technical skills on the ff:

oAnalytical Skills (statistical analysis, data
transformation, descriptive/predictive/prescriptive analytics)

oModeling and Algorithm Building

oAnalytics Solutions Design

oModeling Tools like R and Python

Domain and Industry Specialization:

·The knowledge and ability required to influence
our clients’ business agenda and generate value in the context of the
industries in which they operate.

·Cross-industry Knowledge – APPLIED

·Cross-domain Knowledge – MASTERED

Leadership Skills Required:

·Innovate for Results

·Advocate a compelling vision

·Collaborate across ecosystem

·Execute with Agility

·Personalize in a truly human way