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    Data-Science

    Data Scientist Fresher

    Dipali ShahBy Dipali ShahNovember 3, 2025002 Mins Read
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    Data Scientist Fresher
    Data Scientist Fresher
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    🏒 Company Overview:
    Navi is a leading financial technology company revolutionizing the way people access credit, insurance, and investment products. With a focus on leveraging data and technology, Navi aims to make financial services simple, affordable, and accessible to everyone. The company operates across multiple domains, including lending, health insurance, and mutual funds, delivering seamless digital experiences through innovative products.

    πŸ’Ό Job Details:

    • Employment type: Full Time
    • Experience: Fresher
    • Salary: β‚Ή4,000 – β‚Ή8,000 monthly
    • Location: Work For Home
    • Work timing: 9:45 AM to 6:45 PM
    • Working Days: 5 Days
    • Education: Any Degreel

    πŸ“ Job Description:
    Navi is seeking a talented and analytical Data Scientist to join its growing data and analytics team. The ideal candidate will be responsible for developing data-driven insights, predictive models, and machine learning solutions to enhance business performance and improve customer experience. You will work closely with cross-functional teams to translate complex data into actionable strategies.

    πŸ”‘ Key Responsibilities:

    • Develop and deploy machine learning and statistical models for various business functions (credit risk, fraud detection, customer segmentation, etc.)
    • Analyze large datasets to extract insights, trends, and patterns
    • Collaborate with product, engineering, and marketing teams to define and implement data-driven strategies
    • Build and automate data pipelines for real-time decision-making
    • Evaluate model performance and continuously improve algorithms
    • Communicate findings through visualizations and data storytelling to both technical and non-technical stakeholders
    • Stay updated with the latest advancements in data science, AI, and analytics

    πŸ› οΈ Required Skills & Qualifications:

    • Strong proficiency in Python, R, or SQL for data analysis and modeling
    • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
    • Hands-on experience in data wrangling, feature engineering, and model deployment
    • Familiarity with Big Data tools (Spark, Hadoop, etc.) and cloud platforms (AWS, GCP, Azure)
    • Solid understanding of statistics, probability, and data visualization
    • Ability to handle structured and unstructured data
    • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field

    🌟 Benefits:

    • Opportunity to work in one of India’s fastest-growing fintech companies
    • Collaborative and innovative work culture
    • Exposure to large-scale real-world datasets
    • Professional growth and continuous learning environment
    • Health insurance and other employee benefits
    Apply Now

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    Dipali Shah

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