Data Science Consultant

About Univ.AI

The Institution
Univ.AI is a live, online institution for AI and Data Science that enables driven and motivated learners to become the world’s best AI Engineers and Data Scientists. Our curriculum is designed by professors from Harvard University and UCLA and delivered through live, high-intervention learning.

The Consulting Arm
Univ.AI’s consulting team works with clients around the world on Machine Learning and AI projects. Our highly qualified team of Machine Learning and Data Science consultants are put through rigorous training prior to their joining. Past areas of work include healthcare, insurance, travel & transport, and oil & gas exploration.

The Data Science Leaders Program (DSLP)

The Data Science Leaders Program gives high-achieving candidates a chance to get a top-tier Data Science or AI job without any prior experience in Data Science.

Step 1 : Get your offer letter

• Selected candidates receive a job offer from Univ.AI with gross compensation ranging from 15 to 35 lacs

Step 2 : Train with top faculty

• Candidates pursue our Master ML & AI program with professors from Harvard & UCLA on 100% scholarship

Step 3 : Get assigned to projects

• Upon successful completion, you are assigned to client projects in Data Science and Machine Learning

What you will be doing

After completing the training program, you will join Univ.AI’s marquee team of Data Science and AI consultants and start working on state-of-the-art machine learning projects with clients from around the world. These projects span a diverse set of industries and applications. Your work will involve applying Data Science & AI to solve our clients’ unique problems in diverse domains. Past areas of work include healthcare, insurance, travel & transport, and oil & gas exploration.

Some key responsibilities

• Design, architect & operationalize machine learning algorithms
• Deploy & manage data science models in production
• Build and deploy portable, scalable machine learning workflows
• Work with technical and business teams to architect digital products that deliver insights, predictions, and optimization outcomes, at scale
• Work alongside global counterparts to create and deploy machine learning enabled solutions

REQUIREMENTS

For College Students

• Students must be in their final year of a bachelor’s or master program from a reputed college or university
• Enrolled in Science, Engineering, Technology, Mathematics (STEM) and related programs including Economics and Statistics
• An excellent academic track record
• Demonstrated leadership skills and teamwork, for example, through group projects and internships
• Proficiency in mathematics, statistics and python programming

For Working Professionals

• STEM, Economics and Statistics graduates from reputed institutions
• 1-5 years of experience
• Candidates with work experience in reputed companies, nonprofits, international organizations and startups