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Product-Based Company Jobs

Showing 101 - 110 of 152 jobs
Product-Based

Data Scientist

Empower
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Product-Based

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Product-Based

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Product-Based

Software Engineer

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📍 chennai 💰 12-20 LPA • Full-Time • Office • IT
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📍 bangalore 💰 30-45 LPA • Full-Time • Office • IT
Empower Logo

Data Scientist

Empower

Product-Based
📍 Location bangalore
💰 Salary 15-25 LPA
📅 Posted Jan 31, 2026
📝 Job Type Full-Time
🏠 Work Mode Office
🏭 Industry Data Science

Job Description

Empower is hiring Data Scientists to work on financial analytics and data-driven solutions in Bangalore. You will develop predictive models for financial markets, analyze investment data, and build algorithms for portfolio optimization. Responsibilities include working with financial datasets, implementing machine learning models, and creating analytics dashboards. Work on quantitative analysis, risk modeling, or investment strategy development. Collaborate with financial experts to understand domain requirements and develop data science solutions. This role offers exposure to financial technology, opportunity to work on real-world financial analytics, and comprehensive learning in quantitative finance domain.

Requirements

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field required. Strong programming skills in Python or R essential. Experience with machine learning algorithms and statistical analysis important. Knowledge of financial concepts or quantitative analysis beneficial. Good analytical and problem-solving skills necessary. Ability to communicate complex technical concepts effectively required.

Required Skills

Python R Machine Learning Statistics Big Data Financial Analytics

Hiring Insights

  • Hiring Status: actively hiring
  • Batch Priority: 2023-2025
  • Expected Response Time: 2-3 weeks
  • Preferred Qualification: B.Tech,BE,M.Tech,MSc

Note: Insights are based on previous hiring patterns and community feedback.

Selection Process

  1. Step 1 Online Application
  2. Step 2 Data Science Test
  3. Step 3 Technical Assessment
  4. Step 4 Case Study
  5. Step 5 Technical Interview
  6. Final Result Announcement

Typical process based on past hiring patterns at product-based companies.

Who Should Apply

Data science graduates with financial analytics interest.

Common Reasons for Rejection

  • Weak ML skills
  • Poor statistical knowledge
  • Limited financial understanding

Frequently Asked Questions

Is this role open for freshers?
Yes, this opportunity is suitable for fresh graduates and entry-level candidates.

Is work from home available?
Depends on company policy and project allocation. Office details are mentioned above.

Is there any bond?
Bond details, if any, are usually discussed during HR rounds.

What is the application deadline?
We recommend applying as soon as possible as fresher positions fill up quickly.

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