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    Senior Data Scientist - Hyderabad, India - FinbotsAI

    FinbotsAI
    FinbotsAI Hyderabad, India

    5 days ago

    Default job background
    Technology / Internet
    Description

    The Senior Data Scientist will be responsible for designing and developing Credit Risk Modelling and Decisioning modules of CreditX, the world's first fully automated, no-code AI Credit Modelling & Decisioning Platform.

    An Ideal candidate would have 4 to 7 years of Development experience mainly in the financial sector while leveraging different technologies and have had a demonstrated experience of being a self-learner who thrives on new challenges and stays up to date with the latest developments in the field. A background in Software Development within Financial Services, especially in Credit Modelling / Decisioning would be advantageous. She/He will be a key member of our Product Development team and also support in client deployment activities.

    Responsibilities

    • Design and Develop core software with data intensive operations and statistical modelling techniques.
    • Experience in Object Oriented programming and test-driven development approaches
    • Build products, prototypes, and MVPs to validate ideas by practically applying Data Science concepts
    • Rapid prototyping and experimentation to develop and validate Proof of Concepts (POCs) with leading global financial institutions.
    • Work with large, diverse datasets using Big Data technologies and public cloud services
    • Translate end user needs to requirements using design thinking methodologies
    • Conduct data exploration, feature engineering, visualization and develop appropriate models
    • Familiarity with advanced statistical procedures and implement them into Production grade software modules
    • Cross-validate models to ensure their generalizability across various products
    • Develop and document non-technical reports that detail the successes and limitations of each project
    • Suggest ways in which insights obtained might be used to make informed decisions about business strategies

    Qualifications

    • A Bachelor's degree in Computer Science, Data Science, statistics, or a similar field
    • Must have 4 + years industry experience working in a software development role involving machine learning, deep learning, quantitative financial analysis and data engineering
    • Domain experience in Financial Services (banking, insurance, risk, fraud) is preferred
    • Have experience in producing and rapidly delivering minimum viable products, results focused with ability to prioritize the most impactful deliverables
    • Hands on experience preferable in implementing scalable Machine Learning solutions using Python / Scala / Java on Azure, AWS or Google cloud platform
    • Experience with Big Data frameworks like Hadoop, Spark, Kafka etc
    • Experience in building &deploying unsupervised, semi-supervised, and supervised models and be knowledgeable in various ML algorithms such as regression models, Tree-based algorithms, ensemble learning techniques, distance-based ML algorithms etc
    • Ability to track down complex data quality and data integration issues, evaluate different algorithmic approaches, and analyse data to solve problems.
    • Experience in implementing parallel processing and in-memory frameworks.
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