Associate Data Scientist at Kantar

Job Details

• We are looking for an Associate 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 using 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 very hardworking 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 team members 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 partners.  

Qualification, Experience, and skills:

Must-haves 

• Degree from top tier technical institutes in relevant subject area, or relevant experience.
• Proven experience, with some exposure to AI / ML, particularly in areas related to Generative AI. 
• 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, hard-working, curious, and entrepreneurial!

Desired skills that would be a distinct advantage :

• 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 a plus. Experience with other foundation models such as CLIP, Dall-E, Stable Diffusion is an added 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 team members  
• Meticulous and deep attention to detail 
• Being able to straddle ‘big picture’ and ‘details’ with ease