• You are determined to stay ahead of the latest technologies in Data Science!
• We are one of the largest and most advanced Data Science practices in the country
• Together we can build state-of-the-art AI models that power seamless experiences for millions of customers.

KEY SKILLS WE ARE LOOKING FOR:

• Good knowledge in statistics and excellent programming skills in Python
• Proven experience in Machine Learning
• Proven experience in developing GenAI capabilities
• Highly desirable to have Master or PhD relevant to statistics and / or data science, and / or experience relating to research in statistics and / or data science
• Highly desirable to have experience in developing in cloud environments, especially AWS
• Highly desirable to have experience working in a team of data scientists and engineers

TECH SKILLS:

We use a broad range of tools, languages, and frameworks. We don’t expect you to know them all but experience or exposure to any ML systems and statistical modelling will set you up for success in this role!

• Solid foundations in statistical modelling, Data Science, ML and Gen AI models.
• Demonstrated experience in developing and deploying a variety of Gen AI data science solutions including generative AI, NLP, reinforcement learning.
• Hands-on coding skills that allow you to build and implement ML model ideas easily and quickly using Python, PySpark, SQL, AWS/ Azure.
• Familiarity with software engineering principles, an engineering background and conceptual understanding of DevSecOps or full cycle engineering.
• Track record of proficient data wrangling skills and efficient large data manipulation.
• Degree in Computer Science, Engineering, Mathematics, Statistics or similar subjects.

• Solid foundations in statistical modelling, Data Science, ML and Gen AI models.
• Demonstrated experience in developing and deploying a variety of Gen AI data science solutions including generative AI, NLP, reinforcement learning.
• Hands-on coding skills that allow you to build and implement ML model ideas easily and quickly using Python, PySpark, SQL, AWS/ Azure.
• Familiarity with software engineering principles, an engineering background and conceptual understanding of DevSecOps or full cycle engineering.
• Track record of proficient data wrangling skills and efficient large data manipulation.
• Degree in Computer Science, Engineering, Mathematics, Statistics or similar subjects