Job Details
- Location: Bangalore, India
- Department: CTO Office – Engineering
- Position: Internship (On-site)
- 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
- Understand and analyze complex business problems to create data-driven solutions.
- Research, process, and analyze structured and unstructured data to derive insights.
- Develop and implement machine learning models and algorithms for classification, regression, and pattern recognition.
- Use data visualization techniques to present insights effectively.
- Collaborate with engineering and product development teams to integrate ML solutions into real-world applications.
- Manage the entire lifecycle of ML operations, including data processing, model training, hyperparameter tuning, deployment, and model observability.
- Stay updated with the latest trends and advancements in the machine learning community.
- Optimize ML models to enhance performance, accuracy, and efficiency.
- Implement and test deep learning techniques to solve business challenges.
- Work on reinforcement learning and optimization algorithms where applicable.
- Assist in developing AI-driven automation solutions for banking technology.
- Debug and fine-tune ML models to ensure optimal results.
Required Skills and Knowledge
- Strong understanding of machine learning techniques (supervised and unsupervised learning).
- Hands-on experience with classification, regression, deep learning, reinforcement learning, and optimization.
- Proficiency in programming languages like Java, C++, and Python.
- Strong mathematical and analytical skills with a keen business acumen.
- Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
- Experience with ML libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, and Keras.
- Familiarity with big data technologies like Hadoop, Spark, and distributed computing.
- Exposure to cloud computing platforms (AWS, GCP, or Azure) for ML model deployment.
- Strong problem-solving skills and the ability to work independently on research tasks.
- Ability to collaborate with cross-functional teams and communicate insights effectively.
- Passion for AI, deep learning, and data-driven innovation.
Experience and Qualifications
- Bachelor’s degree in Engineering (Computer Science, Data Science, AI, or related fields).
- Prior experience with machine learning projects, internships, or research work is a plus.
- Strong academic background in mathematics, statistics, and computer science.
- Experience with real-world ML implementation and deployment is advantageous.
Why Join Zeta?
- Work with industry experts in banking technology and artificial intelligence.
- Gain hands-on experience with real-world data science challenges.
- Be part of a fast-growing fintech company with global impact.
- Learn and innovate with the latest advancements in AI and ML.
- Opportunity to work on cutting-edge technologies in cloud computing and data science.
- Internship with potential career opportunities at Zeta.
Important Links
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