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Data Science Intern

Data Science Intern

2Cents CapitalSurat, IN
30+ days ago
Job description

Job Title : Data Science Intern

Location : Remote

Employment Type : Internship (3–6 months, flexible start date)

About 2CentsCapital

At 2CentsCapital, we blend cutting-edge technology with financial expertise to drive smarter investment decisions. As a forward-thinking firm, we leverage quantitative analysis, machine learning, and big data to uncover market insights and deliver innovative strategies. Our team thrives on collaboration, curiosity, and a passion for turning raw data into actionable intelligence. Join us to shape the future of finance!

Position Overview

We’re seeking a motivated Data Science Intern to join our dynamic team. You’ll work alongside seasoned data scientists and finance professionals to analyze market trends, build predictive models, and contribute to real-world investment strategies. This role is perfect for someone eager to bridge the gap between data science and finance while gaining hands-on experience in a fast-paced environment.

Key Responsibilities

  • Data Analysis & Modeling : Clean, preprocess, and analyze large financial datasets (market data, economic indicators, etc.).
  • Algorithm Development : Assist in building and optimizing machine learning models for portfolio optimization, risk assessment, and trend prediction.
  • Insight Generation : Use statistical techniques to identify patterns and generate actionable insights for investment strategies.
  • Collaboration : Work with cross-functional teams (quant researchers, developers, traders) to deploy data-driven solutions.
  • Visualization & Reporting : Create dashboards and reports to communicate findings to stakeholders.

Qualifications

  • Pursuing a degree in Data Science, Computer Science, Statistics, Finance , or a related field (Bachelor’s / Master’s / PhD).
  • Proficiency in Python (pandas, NumPy, scikit-learn) and / or R; familiarity with SQL.
  • Basic understanding of machine learning (regression, classification, time-series analysis).
  • Strong analytical mindset and problem-solving skills.
  • Ability to translate complex data into clear insights.
  • Curiosity about financial markets and quantitative finance.

    • Preferred Skills

  • Experience with financial datasets (Bloomberg, CRSP, etc.) or tools like TensorFlow / PyTorch
  • Knowledge of big data tools (Spark, Hadoop) or cloud platforms (AWS, Azure).
  • Familiarity with version control (Git) and software development best practices.
  • A GitHub portfolio or project demonstrating data science / ML work.

    • What We Offer

  • Mentorship : Learn from experts in data science and finance.
  • Impact : Contribute to projects that directly influence investment decisions.
  • Flexibility : Remote-friendly hours and a hybrid work model.
  • Growth : Networking opportunities and potential for future full-time roles.