Data Science Intern

1 week ago

Vizag, Andhra Pradesh, India Empress Technologies Full time ₹ 2,40,000 - ₹ 4,80,000 per year

Role Overview:

We are hiring Data Science / AI & ML graduates who are passionate about applying their analytical and programming skills to financial market research and trading automation. You will work with our core quant and tech teams to design, test, and optimize AI-based trading strategies.

Key Responsibilities:

  • Research and analyze market data (Indian Stock Markets, Indices, Commodities, Forex) using Python.
  • Build and test trading models using Machine Learning, Deep Learning, or Quantitative Logic.
  • Work on data cleaning, feature extraction, and backtesting frameworks.
  • Develop dashboards and performance trackers for live strategies.
  • Collaborate with developers to automate models for real-time execution.
  • Document findings, strategy results, and improvement ideas.

Preferred Qualifications:

Education:

  • B.Tech / B.E. in Data Science, Artificial Intelligence, or Machine Learning.
  • Strong understanding of statistics, algorithms, and model evaluation.

Skills:

  • Proficiency in Python, Pandas, NumPy, Matplotlib.
  • Knowledge of Machine Learning, Time-Series Analysis, or Reinforcement Learning.
  • Familiarity with APIs, SQL, or TradingView/Python backtesting is a plus.
  • Interest in finance, markets, or trading is highly desirable.

Who Can Apply:

  • Final-year students or freshers (0–1 year experience).
  • Strong analytical thinkers eager to work on AI + Trading applications.
  • Candidates who want to build a long-term career in AI-based Trading, Quant Research, or FinTech.

What You'll Get:

  • Real-world exposure to financial data and algorithmic systems.
  • Hands-on mentorship in AI model building, backtesting, and automation.
  • Opportunity for pre-placement offer (PPO) based on performance.
  • Dynamic startup environment with fast growth opportunities.

Job Types: Full-time, Permanent, Fresher

Pay: ₹240,000.00 per year

Benefits:

  • Health insurance

Work Location: In person

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