1.0 Company Overview

KANTAR (www.kantar.com) is the world's leading insights, consulting, and analytics company. We understand how people think, feel, shop, share, vote, and view more than anybody else. With over 25,000 people, we combine the best of human understanding with advanced technologies to help the world's leading organizations, succeed and grow.

The Global Data Science and Innovation (DSI) unit of KANTAR, nested within its Analytics Practice (https://www.kantar.com/expertise/analytics), is a fast-growing team of niche, elite data scientists responsible for all data science led innovation within KANTAR. The unit has a strong internal and external reputation with global stakeholders and clients, of handling sophisticated cutting-edge analytics, using state-of-the-art techniques and deep mathematical / statistical rigor. The unit is responsible for most AI and Gen AI related initiatives within KANTAR (https://www.kantar.com/campaigns/artificial-intelligence), including bringing in the latest developments in the field of Machine Learning, Generative AI, Deep Learning, Computer Vision, NLP, Optimization, etc. to solve complex business problems in marketing analytics and consulting and build products that empower our colleagues around the world.

2.0 Job profile summary

We are looking for an experienced Data Scientist to help evolve, build, and manage our portfolio of data science solutions using a wide variety of AI/ML techniques including Generative AI.

As part of a high-profile team, the position offers a unique opportunity to work first-hand on some of the most exciting, and challenging AI-led projects within the organization, and be part of a fast-paced, entrepreneurial environment. In your role as a data scientist, you will be responsible for working with your colleagues and managers to build a world-class portfolio of AI-led solutions within KANTAR leveraging the latest developments in AI/ML.

You will be part of several R&D efforts to develop and evaluate PoCs to demonstrate new capabilities, algorithms, and technologies, particularly using (but not restricted to) Generative AI. You will work hands-on as well as with a highly talented cross-functional, geography-agnostic team of data scientists. You need to be flexible, work well in teams, own your work, and be a good collaborator. You will support other stakeholders to develop, scale, and commercialize the products and solutions you create.

As part of the global data science and innovation team, you will be a representative and ambassador for data Science/AI/ML led solutions with internal and external stakeholders.

3.0 Job Details

• Designation: Data Scientist
• Location: Preferred location is Chennai, followed by Bangalore

4.0 Qualification, Experience, and skills

Must-haves

• Degree from top tier technical institutes in relevant discipline
• 2 to 6 years’ experience, with at least past few years in the space of AI / ML, particularly in areas related to Generative AI.
• Demonstrable experience of having worked in the past one year on Generative AI led products / solutions. Hands-on experience with LLMs such as GPT3.5/4, Llama-2 etc. is mandatory. Experience with other foundation models such as CLIP, Dall-E, Stable Diffusion is an added advantage.
• Experience with traditional supervised and unsupervised machine learning methods such as random forest, gradient boosting, regularized regression, deep neural networks, etc.
• Proficiency with Python is critical
• Energetic, self-driven, curious, and entrepreneurial

Desired skills that would be a distinct advantage

• Has already worked in a Research and Development set-up or in a Product Development role
• Prior first-hand work experience in building and deploying applications on cloud platforms like Azure/AWS/Google Cloud using serverless architecture. Proficiency in tools such as Azure machine learning service, Amazon Sagemaker, Google Cloud AI
• Prior experience of Agile working methodologies for product development
• Comfortable working in global set-ups with diverse cross-geography teams and cultures
• Technology savvy – closely follows latest developments in Data Science and technology
• Strong foundations in Math, probability and statistics.
• Willing to try out new things and quickly prototype solutions.
• Has an ‘ideate-fast, test-fast, fail-fast, learn-fast’ attitude

• Excellent (English) communication skills to address both technical audience and business stakeholders
• Meticulous and deep attention to detail

• Being able to straddle ‘big picture’ and ‘details’ with ease