Zeta is Hiring for Data Science

Job Details

  1. Location: Bangalore, India
  2. Department: CTO Office – Engineering
  3. Position: Internship (On-site)
  4. Company: Zeta – A Next-Gen Banking Tech Company

About Zeta

Zeta is a leading banking technology company that enables banks and fintechs to develop and launch innovative financial products. Founded in 2015 by Bhavin Turakhia and Ramki Gaddipati, Zeta offers cutting-edge solutions through its flagship platform, Zeta Tachyon. This cloud-native, API-driven platform integrates issuance, processing, lending, core banking, fraud detection, and risk management into a single, seamless solution.

With 20M+ cards issued globally, Zeta collaborates with major banks and fintechs across multiple regions to enhance the banking experience for millions of users. Backed by $280 million in funding from SoftBank, Mastercard, and others, Zeta continues to expand its impact in the financial technology sector.

About the Role

As a Data Science Intern at Zeta, you will work on developing predictive models, machine learning algorithms, and data-driven solutions to solve core business challenges. This role involves data analysis, research, and collaboration with engineering and product teams to implement cutting-edge ML/DL techniques.

Key Responsibilities

  1. Understand and analyze complex business problems to create data-driven solutions.
  2. Research, process, and analyze structured and unstructured data to derive insights.
  3. Develop and implement machine learning models and algorithms for classification, regression, and pattern recognition.
  4. Use data visualization techniques to present insights effectively.
  5. Collaborate with engineering and product development teams to integrate ML solutions into real-world applications.
  6. Manage the entire lifecycle of ML operations, including data processing, model training, hyperparameter tuning, deployment, and model observability.
  7. Stay updated with the latest trends and advancements in the machine learning community.
  8. Optimize ML models to enhance performance, accuracy, and efficiency.
  9. Implement and test deep learning techniques to solve business challenges.
  10. Work on reinforcement learning and optimization algorithms where applicable.
  11. Assist in developing AI-driven automation solutions for banking technology.
  12. Debug and fine-tune ML models to ensure optimal results.
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Required Skills and Knowledge

  1. Strong understanding of machine learning techniques (supervised and unsupervised learning).
  2. Hands-on experience with classification, regression, deep learning, reinforcement learning, and optimization.
  3. Proficiency in programming languages like Java, C++, and Python.
  4. Strong mathematical and analytical skills with a keen business acumen.
  5. Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
  6. Experience with ML libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, and Keras.
  1. Familiarity with big data technologies like Hadoop, Spark, and distributed computing.
  2. Exposure to cloud computing platforms (AWS, GCP, or Azure) for ML model deployment.
  3. Strong problem-solving skills and the ability to work independently on research tasks.
  4. Ability to collaborate with cross-functional teams and communicate insights effectively.
  5. Passion for AI, deep learning, and data-driven innovation.

Experience and Qualifications

  1. Bachelor’s degree in Engineering (Computer Science, Data Science, AI, or related fields).
  2. Prior experience with machine learning projects, internships, or research work is a plus.
  3. Strong academic background in mathematics, statistics, and computer science.
  4. Experience with real-world ML implementation and deployment is advantageous.

Why Join Zeta?

  1. Work with industry experts in banking technology and artificial intelligence.
  2. Gain hands-on experience with real-world data science challenges.
  3. Be part of a fast-growing fintech company with global impact.
  4. Learn and innovate with the latest advancements in AI and ML.
  5. Opportunity to work on cutting-edge technologies in cloud computing and data science.
  6. Internship with potential career opportunities at Zeta.

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