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    Data Scientist-Gurgaon - Gurugram, India - EXL

    EXL
    EXL background
    Technology / Internet
    Description

    TEXL (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 FrameworkTM, 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:

    Expected to work in close collaboration with the EXL team and clients on reporting, transformation & analytics projects

    Demonstrated understanding and experience in applying traditional statistical, machine learning, deep learning, NLP to address business problems

    Data management and governance

    Doing independent research, analyze, and present data as assigned

    Managing the learning and development of new team members

    Recruitment and retention management

    Identify and participate in continuous improvement initiatives

    Ensure compliance with Data Privacy and Protection Guidelines

    Participate in business development activities

    Experience in insurance preferred but not mandatory.

    Key Responsibilities & Skillsets:

    Common Skillsets:

    • years of experience in reporting & transformation, analytics, dash boarding, ETL, Python and associated data management

    Deep rooted knowledge and understanding of analytics tools (e.g. Python, R), machine learning and deep learning algorthims (e.g. neural networks), Text Analytics technique (NLTK, Genism, LDA, word embedding techniques, word2vec, fasttext, glove)

    • have consulting back ground with structured thinking
    • communication & presentation skills with consultative mindset
    • be able to lead team independently and prepare/manage client ready deliverable
    • to understand cross cultural differences and can work with clients across the globe

    Data Management Skillsets:

    Strong familiarity with advanced analytics (Python, R), BI tools (Tableau, Power BI) and related software applications

    • knowledge of data base management and SQL, Informatica, Hadoop/Spark, and ETL tools.

    Strong ability to translate functional specifications / requirements to technical requirements

    Exposure to Cloud data management and AWS services (Preferred)

    Candidate Profile:

    Bachelor's/Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas

    Data analysis experience

    Superior analytical and problem solving skills

    Outstanding written and verbal communication skills

    Able to work in fast pace continuously evolving environment and ready to take up uphill challenges



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