Data Scientist – Artificial Intelligence

IBM — Bangalore, Karnataka

₹4–6 LPA (HireSetu estimate) · Entry level · Freshers eligible · Full-time · onsite

HireSetu listing reference 678e7e — confirm requirements below, then apply on the employer site.

Quick answer: IBM Consulting in Bangalore, listed as hybrid with up to a day a week of travel. The work centres on client proofs of concept, including using Gen AI coding assistants to move legacy COBOL into Java, so Python and one strong AI framework matter and Java or COBOL exposure is the bonus the listing names.

From IBM's job posting

Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your role and responsibilities

  • As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders.
  • In your role, you may be responsible for:
  • Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects
  • Writing programs to cleanse and integrate data in an efficient and reusable manner
  • Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors
  • Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions.
  • Evaluating modelling results and communicating the results to technical and non-technical audiences.

Required technical and professional expertise

  • Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
  • Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
  • Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC
  • Document solution architectures, design decisions, implementation details, and lessons learned.
  • Create technical documentation, white papers, and best practice guides.

Preferred technical and professional experience

  • Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face.
  • Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms
  • Experience and working knowledge in COBOL & JAVA would be preferred.

YOUR LIFE @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

OTHER RELEVANT JOB DETAILS

When applying to jobs of your interest, we recommend that you do so for those that match your experience and expertise. Our recruiters advise that you apply to not more than 3 roles in a year for the best candidate experience. For additional information about location requirements, please discuss with the recruiter following submission of your application.

Job ID

86123

Travel required

Up to 20% or 1 day a week

Company

(0063) IBM India Private Limited

General (daytime)

Is this role a commissionable/sales incentive based position?

No

The employer’s company overview, benefits and equal-opportunity statement are left out here; they are on the original posting.

Text from IBM's official job posting, formatted by HireSetu. The employer's own page is the final word on details.

HireSetu's note

The COBOL-to-Java line is the giveaway

Most data scientist postings at this level talk about models. This one asks for proofs of concept that show a client an idea works, plus the architecture notes, design decisions and lessons learned written up afterwards. The named example is using a Gen AI code assistant to refactor COBOL into Java.

Expect modernisation work at banks or insurers sitting on old systems. You read a lot of code you didn't write, in a language few data scientists touch, then explain the outcome to people who don't read code. The modelling is real, but it serves the client conversation.

An early-career opening with an odd pairing

No years of experience are stated. A bachelor's degree is the bar and a master's is preferred, which fits someone with a couple of strong projects behind them or a few years of applied work. Python plus one of TensorFlow, PyTorch, Keras or Hugging Face is the core ask, with scikit-learn, pandas and matplotlib assumed, and some cloud familiarity.

COBOL and Java listed together as preferred is the strange part. Both on one posting means the projects need people who can read the source language and rebuild in the target. Any exposure, a college lab or a side project, deserves one clear line on your CV.

Demos and documentation carry weight

Writing runs through this role: technical documentation, white papers, best practice guides. Have one POC you can walk through end to end, the framing, the data, the result, and how you'd explain the same thing to a business sponsor who doesn't care about model architecture.

Ask how a week splits between building, client demos and writing, and whether you'd be reading COBOL from the first project or learning it on the job. Consulting teams staff by project, so the answer shapes your first year.

Drafted with AI from IBM's job posting and checked by Prashanth Jakkula before publishing. See our Editorial Policy.

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