Data Scientist-Artificial Intelligence

IBM Consulting typically conducts a three‑stage interview process. The first stage is an online assessment focusing on quantitative aptitude and coding. The second stage is a technical interview where candidates discuss machine‑learning fundamentals, past projects, and may be given a live coding or case‑study exercise. The final HR round evaluates cultural fit, communication skills, and motivation. Preparation should include strong fundamentals in statistics, hands‑on experience with AI frameworks, and clear articulation of project impact.

IBM Consulting promotes a collaborative, inclusive environment where learning is continuous and employees are encouraged to experiment with new ideas. The firm offers flexible hybrid work arrangements, robust mentorship programmes, and a clear path for career progression, balancing challenging projects with a supportive work‑life balance.

Bachelor's degree in Computer Science, Information Technology, Electronics, Mathematics, Statistics or related engineering/Science streams; Minimum 60% aggregate (or CGPA 6.5/10); Fresh graduates of the 2025 batch; No active backlogs at the time of joining; Strong academic record in mathematics, statistics, and programming courses.

Round 1: Online Assessment (aptitude, logical reasoning, and coding) → Round 2: Technical Interview (ML concepts, projects, POC discussion, coding) → Round 3: HR Interview (fitment, motivation, and compensation discussion)

IBM Consulting, the professional services arm of IBM, is a global leader in helping enterprises navigate digital transformation. With a heritage that spans over a century, IBM combines deep industry expertise, cutting‑edge technology, and a culture of innovation to deliver end‑to‑end solutions across cloud, AI, security, and analytics. The consulting division works with Fortune 500 companies, startups, and public sector organizations, enabling them to build hybrid cloud environments, adopt AI responsibly, and drive sustainable business outcomes. IBM’s commitment to responsible AI, quantum computing, and open‑source collaboration makes it an exciting place for fresh talent to grow alongside world‑class experts. The role of Associate Data Scientist – Artificial Intelligence is designed for recent graduates who are passionate about turning data into actionable insights. You will work in a hybrid setting from the Bangalore office, collaborating with cross‑functional teams that include senior data scientists, solution architects, and industry consultants. Your day‑to‑day responsibilities will involve building predictive models, creating proof‑of‑concept AI solutions, and communicating findings to both technical and non‑technical stakeholders. The position offers exposure to IBM’s AI application suites, Red Hat’s open‑source tools, and the broader IBM Cloud ecosystem. **Key Responsibilities** 1. Design, develop, and validate predictive and prescriptive models using Python, R, TensorFlow, PyTorch, or Hugging Face. 2. Cleanse, integrate, and preprocess large datasets efficiently, ensuring reproducibility. 3. Build and showcase Proof‑of‑Concept (POC) solutions that demonstrate the feasibility of AI-driven business outcomes. 4. Collaborate with development teams to iterate on POCs, especially for Gen AI code‑assistant projects that translate COBOL to Java. 5. Document solution architectures, design decisions, and implementation details in clear technical artefacts. 6. Produce white‑papers, best‑practice guides, and technical documentation for internal and client consumption. 7. Participate in Agile ceremonies, contribute to sprint planning, and deliver incremental value. 8. Communicate model results, insights, and recommendations to stakeholders through visualisations and presentations. 9. Stay updated with the latest AI research, libraries (SciKit‑Learn, Pandas, Matplotlib), and cloud platforms. 10. Mentor junior team members and share knowledge across the analytics community. **Tech Stack**: Python, R, TensorFlow, PyTorch, Keras, Hugging Face, SciKit‑Learn, Pandas, Matplotlib, SQL, NoSQL, IBM Cloud, Red Hat OpenShift, Git, Docker. **Growth Path**: Starting as an Associate Data Scientist, high performers can progress to Data Scientist, Senior Data Scientist, AI Solution Architect, and eventually to leadership roles such as AI Practice Lead or Consulting Manager. IBM invests heavily in continuous learning through internal academies, certifications, and mentorship programmes. **Why Join IBM Consulting?** - Access to world‑class AI platforms and a global network of experts. - Opportunity to work on real‑world problems for industry leaders. - A culture that values curiosity, diversity, and responsible innovation. - Structured career development, flexible hybrid work model, and competitive compensation. - Exposure to emerging technologies like quantum computing and generative AI, positioning you at the forefront of the data science revolution.