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EXL (NASDAQ:EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning Business EXLerator Framework(TM), which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered in New York, New York, EXL has more than 24,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa.
EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, EXL Analytics takes an industry-specific approach to transform our clients' decision making and embed analytics more deeply into their business processes. Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. EXL Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries.
Please visit for more information about EXL Analytics.
Role Overview:
Research, analyze, and present data as assigned.
Develop analysis in SQL, Python/R.
Develop detailed codes for data preparation and model scoring to be used in production.
Prepare detailed documentation of predictive models and make oral presentations to team lead.
Assist in learning and development of new team members.
Critically examine and deep dive into models.
Identify and participate in continuous improvement initiatives.
Responsibilities:
Complete understanding of the current state of affairs and problem statement
Experience in data extraction and data manipulation in Python/R.
Data analysis experience in identifying major trends, univariate and bi-variate analysis.
Knowledge of time series algorithms like Exponential Smoothing, ARMA/ARIMA/S-ARIMA models. Additional knowledge involving multi variate time series model is preferred
Understanding of SAS/R modules/libraries like forecast, t-series, fable etc
Experience in data control and data automation.
2+ yrs of industry experience
Ability to manage team size of at least 1-2 members
Candidate Profile:
Bachelor's/Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply
1-2 years' experience, preferably in analytics
Strong and in-depth understanding of statistical concepts
Data analysis and predictive modeling experience
Prior experience in managing and delivering on end to end projects
Outstanding written and verbal communication skills
Able to work in fast pace continuously evolving environment and ready to take up uphill challenges
Is able to understand cross cultural differences and can work with clients across the globe
What we offer:
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