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Upstox Hiring 2025 | AI Engineering Intern & Data Science Intern in Bengaluru | Freshers Apply Now

Upstox Hiring 2025 | AI Engineering Intern & Data Science Intern Jobs in Bengaluru | Freshers Apply Now

Looking to kickstart your career in one of India’s leading fintech companies? πŸ’Ό
Here’s an exciting opportunity to work with Upstox, a fast-growing financial technology firm revolutionizing stock trading and investments in India.

Upstox is inviting applications for AI Engineering Intern and Data Science Intern roles for 2024–2025 batch students. These positions are perfect for passionate tech enthusiasts who want to work on machine learning, data analytics, and AI-powered fintech solutions.

Let’s explore both openings in detail πŸ‘‡


🧾 Upstox – AI Engineering Intern

πŸ”Ή Job Overview

Company Name Upstox
Role AI Engineering Intern
Location Bengaluru, India
Eligibility B.E/B.Tech, M.E/M.Tech, B.Sc, M.Sc, BCA, MCA
Batch 2024 / 2025 / 2026
Experience Fresher
Salary (Approx.) β‚Ή6–10 LPA (Internship Stipend + PPO Opportunities)
Mode On-site Internship

🏒 About Upstox

Founded in 2009, Upstox (RKSV Securities) is one of India’s fastest-growing online investment and trading platforms, backed by investors like Ratan Tata and Tiger Global.

With a mission to make trading simple, affordable, and accessible for all, Upstox combines cutting-edge technology with financial expertise to empower millions of investors across India.

The company is renowned for its modern fintech stack, AI-driven analytics, and data-backed decision-making, making it an ideal workplace for engineers eager to work at the intersection of finance, data, and artificial intelligence.


πŸ’Ό Role Overview

As an AI Engineering Intern at Upstox, you’ll collaborate with top engineers and data scientists to design intelligent systems that enhance customer experience, automate operations, and improve financial decision-making.

You’ll work on end-to-end AI and ML model development, from data collection and preprocessing to deployment and monitoring β€” all while learning to build scalable fintech products that impact millions.


🧠 Key Responsibilities

  • Build and optimize AI/ML pipelines for predictive analytics and automation.

  • Work with Python, TensorFlow, and PyTorch to develop ML models.

  • Assist in training and fine-tuning NLP and recommendation models.

  • Collaborate with data scientists to translate business goals into AI solutions.

  • Analyze and visualize datasets to uncover business insights.

  • Deploy ML models into production using APIs and cloud-based systems.

  • Participate in model evaluation, validation, and A/B testing.

  • Work closely with product and engineering teams to enhance AI features.


🧩 Skills Required

βœ… Strong programming skills in Python / R / Java / C++.
βœ… Hands-on experience with ML libraries (TensorFlow, Keras, PyTorch, Scikit-learn).
βœ… Knowledge of data preprocessing, feature engineering, and model evaluation.
βœ… Familiarity with SQL, Pandas, and NumPy for data manipulation.
βœ… Understanding of deep learning, NLP, or computer vision concepts.
βœ… Exposure to AWS / Azure / GCP ML Services preferred.
βœ… Excellent problem-solving and analytical thinking skills.


πŸŽ“ Eligibility

  • B.E/B.Tech, M.E/M.Tech, BCA, MCA, or M.Sc (CS, IT, AI, Data Science)

  • 2024–2026 passouts preferred

  • Strong academic performance and project-based learning background


πŸ’° Salary & Benefits

πŸ’΅ Estimated Stipend: β‚Ή30,000–₹50,000/month
🎯 Full-time conversion with β‚Ή6–10 LPA post-internship based on performance

Benefits Include:

  • PPO opportunities for high performers

  • Exposure to real-world fintech datasets

  • Mentorship by AI experts

  • Collaborative startup environment

  • Networking with top-tier industry professionals


πŸ“ Location

Bengaluru, India (On-site)


πŸ’‘ Interview Tips

  • Revise ML algorithms, Python fundamentals, and data structures.

  • Be prepared to discuss academic or personal AI/ML projects.

  • Brush up on statistics, probability, and data preprocessing techniques.

  • Expect a coding test and a technical interview focused on ML.

  • Showcase your curiosity and understanding of fintech innovation.


πŸ”— How to Apply

Apply through Upstox’s official careers page:
πŸ‘‰ Apply Now – AI Engineering Intern

Apply Link – Upstox


🧾 Upstox – Data Science Intern

πŸ”Ή Job Overview

Company Name Upstox
Role Data Science Intern
Location Bengaluru, India
Eligibility B.E/B.Tech, B.Sc, BCA, M.Sc, MCA, M.Tech
Batch 2024 / 2025 / 2026
Experience Fresher
Salary (Approx.) β‚Ή5–8 LPA (Internship + PPO)
Mode On-site Internship

🏒 About Upstox

Upstox is transforming India’s investing ecosystem with intelligent trading platforms that leverage real-time data, AI models, and predictive analytics.

For aspiring data scientists, Upstox offers the perfect learning environment β€” combining large-scale user data, financial insights, and machine learning infrastructure to deliver personalized and efficient financial services.

This internship lets you work with industry leaders, exploring big data analytics, predictive modeling, and data visualization within the fintech sector.


πŸ’Ό Role Overview

As a Data Science Intern, you’ll use statistical and machine learning techniques to extract insights from vast financial datasets.

You’ll help develop data-driven solutions that power trading recommendations, fraud detection, and personalized investment suggestions β€” contributing directly to Upstox’s mission to make investing smarter and more accessible.


🧠 Key Responsibilities

  • Analyze large financial datasets using Python / R.

  • Build predictive models to improve customer engagement and trading insights.

  • Develop dashboards using Tableau / Power BI / Plotly.

  • Collaborate with product and engineering teams to translate insights into action.

  • Conduct A/B testing and performance evaluation of models.

  • Optimize data pipelines for performance and scalability.

  • Present findings to stakeholders through clear visualizations and reports.


🧩 Skills Required

βœ… Proficiency in Python, R, and SQL.
βœ… Knowledge of statistics, regression, and machine learning algorithms.
βœ… Experience with data visualization tools.
βœ… Strong understanding of data wrangling, ETL, and data modeling.
βœ… Familiarity with AWS / GCP BigQuery.
βœ… Good communication and storytelling skills for presenting data insights.


πŸŽ“ Eligibility

  • Bachelor’s or Master’s in Computer Science / Statistics / Data Science / Mathematics

  • 2024–2026 graduates preferred

  • Good academic record and project-based portfolio


πŸ’° Salary & Benefits

πŸ’΅ Estimated Stipend: β‚Ή25,000–₹45,000/month
🎯 Post-Internship PPO: β‚Ή5–8 LPA

Perks:

  • Work with cutting-edge fintech data systems

  • Hands-on exposure to real-time trading data

  • Learn from top data scientists and financial engineers

  • Opportunity for full-time conversion


πŸ“ Location

Bengaluru, India (On-site)


πŸ’‘ Interview Tips

  • Prepare questions on data cleaning, visualization, and EDA.

  • Be ready to discuss ML projects or Kaggle competitions you’ve participated in.

  • Focus on SQL joins, correlation analysis, and data interpretation.

  • Understand the basics of trading data and financial KPIs.

  • Practice a mini data project presentation to stand out.


πŸ”— How to Apply

Apply through the official Upstox careers portal:
πŸ‘‰ Apply Now – Data Science Intern

Apply Link – Upstox


βš–οΈ Comparison: AI vs Data Science Internship at Upstox

Criteria AI Engineering Intern Data Science Intern
Focus Area AI Model Development & ML Automation Data Analysis & Predictive Modeling
Tools Used TensorFlow, PyTorch, Python, GCP Python, SQL, Tableau, Power BI
Eligibility B.E/B.Tech/M.Tech in CS, AI, DS B.E/B.Tech/B.Sc/M.Sc in DS, Stats
Stipend Range β‚Ή30k–₹50k/month β‚Ή25k–₹45k/month
Career Path AI Engineer / ML Developer Data Analyst / Data Scientist

Both internships provide hands-on exposure to real-world fintech systems, cutting-edge tools, and professional mentorship β€” setting the foundation for a thriving career in tech-driven finance.

admin

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