Jobs

    Senior Data Scientist - Bangalore, India - Indium Software

    Indium Software
    Indium Software Bangalore, India

    Found in: Talent IN 2A C2 - 6 days ago

    Default job background
    permanent Technology / Internet
    Description

    Job Title : Data Scientist

    Company Overview :

    Get to know Indium Software We are a leading provider of Digital Engineering Solutions, driving measurable business value for our clients across Application Engineering, Data and Analytics, Cloud Engineering, Digital Assurance, and Low Code Development.

    With over 24 years in the market, our Digital Engineering Expertise is recognized by ISG, positioning us as a Strong Contender for Data Science Services, Data Engineering Services, and Data Life Cycle Management Services.

    Join our enthusiastic workforce of 3600+ associates across India and be part of our hyper-growth journey.

    Position Overview :

    As a Data Scientist at Indium Software, you will be a key player in developing and implementing advanced data analytics solutions.

    Collaborating with cross-functional teams, you'll extract valuable insights from structured and unstructured data, develop machine learning models, and contribute to enhancing our products and services.

    Must-Have Skill Sets :

    • Advanced SQL.
    • Python.
    • ML Vision / Statistics.
    • Minimum 3+ years of relevant experience.
    Location : Bangalore.

    Expectations from the Candidate :

    Responsibilities :
    • Utilize machine learning and NLP techniques to analyze large datasets and extract actionable insights.
    • Develop, train, and evaluate predictive models to solve complex business problems.
    • Collaborate with software engineers to deploy and integrate machine learning solutions into production environments.
    • Design and implement algorithms for computer vision, image analysis, and text processing.
    • Utilize SQL, Python, and other relevant programming languages and tools to manipulate and analyze data.
    • Explore and experiment with new data sources and technologies to improve data quality and model performance.
    • Communicate findings and insights to both technical and non-technical stakeholders through data visualizations, reports, and presentations.
    • Stay current with the latest developments in machine learning, NLP, and computer vision research.
    )
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