Data Scientist

Department: Data Scientist

Location: Bangalore

Position Type: Full-Time

About Ola:

ANI Technologies, the parent company of Ola Cabs, is one of Indias leading mobility platforms, focused on transforming urban transportation through technology, scale, and innovation. Through Ola Cabs, we serve over 250 million customers across three continents, offering a fast-paced, data-driven environment where teams work on high-impact, real-world problems at scale. With a strong focus on efficiency, reliability, and customer experience, ANI Technologies continues to build solutions that redefine everyday mobility for millions of users.

Job Summary:

The Data Science team at Ola Consumer builds innovative machine learning and deep learning solutions that enhance business efficiency and create superior customer experiences across

Key Roles & Responsibilities (KRAs):

• Formulate and implement machine learning and deep learning solutions to solve complex business problems.
• Build, test, and deploy scalable models across multiple consumer business lines.
• Collaborate with engineering, product, and analytics teams to run experiments and productionize solutions.
• Work with large-scale datasets and distributed computing environments such as Spark.
• Contribute to and co-own the product roadmap for data science initiatives.
• Mentor and support fellow data scientists within the team.

Qualifications & Skills:

• Bachelors/Masters/PhD in Computer Science or a related field.
• Minimum 3 years of industry experience in data science within product-based organizations.
• Strong fundamentals in machine learning with hands-on deep learning experience.
• Proficiency in Python, SQL, and frameworks such as TensorFlow or PyTorch.
• Experience working with terabyte-scale data in Spark environments.
• Strong problem formulation, analytical thinking, and solutioning skills.
• Good product sense and ability to translate business problems into ML-driven solutions.

Perks of working with Ola:

• Opportunity to solve large-scale, real-world problems impacting millions of users.
• Exposure to multiple high-growth consumer businesses within the Ola ecosystem.
• Fast-paced, technology-driven work environment with high ownership.
• Collaborative culture with opportunities to learn, mentor, and grow.
• Chance to build and deploy ML/DL solutions at scale.