AI Intern (Data Science, ML) — Soothsayer Analytics · Hyderabad

About the role

Full-time AI Internship at Soothsayer Analytics — a global AI & Data Science consultancy with a Hyderabad delivery centre — for freshers. Practical data science, ML model building and client analytics projects with Python, scikit-learn and TensorFlow / PyTorch. 0-1 year, onsite Hyderabad, pathway to full-time.

About this internship at Soothsayer Analytics. Full-time AI Internship at Soothsayer Analytics — a global AI & Data Science consultancy with a Hyderabad delivery centre — for freshers. Practical data science, ML model building and client analytics projects with Python, scikit-learn and TensorFlow / PyTorch. 0-1 year, onsite Hyderabad, pathway to full-time. This listing on cloudsoftsol.com is curated for students and freshers in India who are actively looking for AI / ML, Generative AI and Data Science internships in Hyderabad. The role is an internship, on-site, and is open to final-year students and recent graduates — initiative and a real project portfolio matter more than years of experience. Read the responsibilities and requirements below carefully and tailor your application to the specifics; a single, well-explained project beats a long list of course names. Cloud Soft Solutions runs the leading AI, Generative AI, Data Science, Python, AWS, Azure, GCP and DevOps training and placement programmes in Hyderabad and Bangalore — if you would like coaching for AI / ML internships and fresher roles, mock interviews, resume review or portfolio help, please contact us at info@cloudsoftsol.com. We do not charge candidates a fee for placement assistance; companies sponsor our involvement.

Responsibilities

Assist in data preprocessing, feature engineering and model building on real client datasets — the unglamorous, high-value work where most of data science actually happens. Work on machine-learning problems using Python with scikit-learn and TensorFlow / PyTorch, from baseline models through iteration and tuning. Contribute to client analytics projects and big-data challenges in a professional consultancy setting, learning how analysis turns into a deliverable a client pays for. Participate in model evaluation, visualisation and deployment tasks — communicating results clearly to both technical and business stakeholders. Learn directly from senior data scientists on real-world use cases across industries.

Requirements & qualifications

0-1 years of experience; pursuing or recently completed a degree in Computer Science, AI, Data Science or a related field. Strong analytical skills and solid Python proficiency. Working understanding of core ML concepts (model selection, train / test discipline, evaluation metrics) and at least one ML library (scikit-learn / TensorFlow / PyTorch). Comfort exploring, cleaning and visualising real, messy data. Academic or personal data-science projects that demonstrate end-to-end thinking.

Why this role in 2026

Soothsayer Analytics is a global AI & data-science consultancy, so an internship here exposes a fresher to a breadth of real client problems and a professional delivery discipline that pure-product internships rarely offer. It is a full-time internship with senior-data-scientist mentorship and a genuine pathway to a full-time role — a strong, stable launchpad for a data-science / ML career, with global project exposure from a Hyderabad base.

Application tips

Apply via the Soothsayer Analytics careers link or email careers@soothsayeranalytics.com. Include your academic and personal data-science projects with specifics — the dataset, the problem, your approach, and the measurable result. Analytical clarity and clean communication of results are weighted heavily for a consultancy role.

Interview preparation

Expect a screening step, then a technical conversation on Python and data-science fundamentals (feature engineering, handling imbalanced data, evaluation metrics, avoiding leakage), possibly a small take-home or live exercise, and a discussion of your projects. Be ready to explain your modelling choices and to communicate findings simply.

Career growth

Path: AI Intern → (conversion) Junior Data Scientist / ML Engineer → Data Scientist → Senior. Consultancy experience builds unusual breadth across domains, which accelerates progression and broadens later options.