Zeta Internship 2025 | Intern - Data Science | BE/BTech | Bangalore

Zeta has invited applications for the recruitment of Intern – Data Science post. It is an entry level position and freshers can apply.

Interested candidates meeting the eligibility criteria can apply online at the earliest.

Candidates can find the links for the job notification, applying online, eligibility criteria and other details here.

Zeta Internship 2025 Details:

Experience: Freshers

Post Name: Intern – Data Science

Qualification: Bachelor’s degree in engineering

Batch: Recent Batches

Salary: Rs. 25k – 35k per month (expected)

Last Date to apply: As soon as possible

Job Locations: Bangalore

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About Zeta

Zeta is a Next-Gen Banking Tech company that empowers banks and fintechs to launch banking products for the future. It was founded by Bhavin Turakhia and Ramki Gaddipati in 2015.

Our flagship processing platform – Zeta Tachyon – is the industry’s first modern, cloud-native, and fully API-enabled stack that brings together issuance, processing, lending, core banking, fraud & risk, and many more capabilities as a single-vendor stack. 20M+ cards have been issued on our platform globally.

Zeta is actively working with the largest Banks and Fintechs in multiple global markets transforming customer experience for multi-million card portfolios.

Zeta has over 1700+ employees – with over 70% roles in R&D – across locations in the US, EMEA, and Asia. We raised $280 million at a $1.5 billion valuation from Softbank, Mastercard, and other investors in 2021.

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About the Role

Research and test novel machine learning approaches and create predictive models and machine learning algorithms solving the core business problems

Responsibilities

Ability to understand complex business problems
Research, analyze, and process structured and unstructured data
Organize and present information using data visualization technique
Work together with the engineering and product development teams to build and test ML/DL solutions.
Primarily own the entire life cycle of ML operations from data processing, model training, hyperparameter tuning, deployment, model management, and observability

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Skills

In-depth working knowledge of current ML techniques, both supervised and unsupervised learning techniques
Implementation experience with classification, regression, pattern recognition, reinforcement learning, deep learning and optimizations
Excellent hold on core programming languages like Java / C++ / Python.
Updated with the latest trends in the machine learning community.
Strong math and analytical skills with business acumen

Experience and Qualifications

Bachelor’s degree in engineering

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How to Apply?

Interested candidates meeting the eligibility criteria have to apply at the following link: