Hiring Freshers - Data Science

Round 1: Online aptitude test → Round 2: Technical interview (Python, ML concepts, case studies) → Round 3: HR interview (fitment, motivation, salary expectations)

Colaberry promotes a collaborative, learning‑first environment where junior talent works side‑by‑side with seasoned AI professionals. Employees enjoy flexible work hours, regular knowledge‑sharing sessions, and a clear path for skill advancement, ensuring a healthy work‑life balance.

Colaberry’s interview process typically starts with a timed online aptitude test, followed by a technical interview focusing on Python, statistics, and machine‑learning fundamentals. The final HR round assesses cultural fit and motivation. Candidates should be prepared with clear explanations of projects, basic algorithmic thinking, and a genuine interest in AI.

Graduates (2024, 2025, 2026) from any recognized university with a degree in Computer Science, Information Technology, Electronics, Electrical, Mathematics, Statistics or related fields; minimum 60% aggregate (or CGPA 6.0/10); no active backlogs at the time of joining; strong analytical mindset and passion for data science.

Colaberry is a global data‑driven consulting firm that helps enterprise organizations turn raw data into measurable business outcomes. With a strong focus on specialized AI and data expertise, the company partners with Fortune‑500 clients across industries such as finance, healthcare, retail, and logistics. Their delivery model blends cutting‑edge technology execution with workforce transformation, ensuring that AI solutions are not only built but also operationalized at scale. Over the past few years, Colaberry has earned a reputation for delivering production‑grade machine‑learning pipelines, intelligent automation agents, and advanced analytics platforms that drive real‑world impact. The Hyderabad office serves as a hub for the company’s talent development initiatives, especially for fresh graduates eager to launch a career in data science. The organization believes that the best way to nurture talent is through a structured, hands‑on training program followed by immediate placement on client projects. This approach provides a seamless transition from learning to earning, while exposing new hires to real‑world challenges from day one. **Role Summary** As a Data Science Fresh‑er, you will undergo a four‑month intensive training program covering the fundamentals of data analysis, machine learning, and AI‑driven automation. Upon successful completion and based on performance metrics, you will be offered a full‑time position where you will work on live client engagements, build predictive models, and contribute to the development of intelligent agents. **Key Responsibilities** 1. Participate in a structured 4‑month data‑science training curriculum covering Python, statistics, and ML algorithms. 2. Assist senior data scientists in data cleaning, preprocessing, and exploratory analysis. 3. Develop and evaluate machine‑learning models using libraries such as Scikit‑learn, TensorFlow, and PyTorch. 4. Write SQL queries to extract and manipulate data from relational databases. 5. Create visualizations and dashboards to communicate insights to stakeholders. 6. Contribute to the design and deployment of AI‑powered automation agents. 7. Document code, methodologies, and results following best‑practice standards. 8. Participate in code reviews and collaborative team meetings. 9. Continuously learn emerging tools and techniques in AI, NLP, and advanced analytics. 10. Support the end‑to‑end lifecycle of data‑science projects from problem definition to production rollout. **Tech Stack**: Python, Pandas, NumPy, Scikit‑learn, TensorFlow/PyTorch, SQL, Git, Docker, Tableau/PowerBI. **Growth Path**: Fresh‑er → Junior Data Scientist → Data Scientist → Senior Data Scientist → Lead/Principal AI Engineer. **Why Join Colaberry**: You gain a paid stipend while learning, immediate exposure to real client problems, mentorship from industry experts, and a clear career trajectory within a fast‑growing AI consultancy. The company’s culture encourages curiosity, continuous upskilling, and collaborative problem‑solving, making it an ideal launchpad for aspiring data scientists.