AI Consultant - Platform Delivery

What You ll Do:

• Deep analytics-tech expertise:
• Develop and implement advanced algorithms that solve complex business problems in a computationally efficient and statistically effective manner leveraging tools like PySpark, Python, SQL on Client/ZS cloud environment
• Execute statistical and data modelling techniques (e.g. hypothesis testing, A/B Testing setup, marketing impact analytics, statistical validity etc.) on large data sets to identify trends, figures and other relevant information with scalable and operational process implementations.
• Evaluating emerging datasets and technologies that may contribute to our analytical platform including good understanding of Generative AI capabilities and SaaS products.
• Communication, collaboration, unstructured problem solving and client engagement (in a high performing and high intensity team environment):
• Problem solving and Client engagement : Understand client business priorities, develop product use cases, do proforma analysis for estimating business opportunity, and deploy the use case for the clients.
• Collaboration: Work in a cross-functional team environment to lead the client engagement and collaborate on holistic solutions comprising of best practices from Frontend and Backend engineering, Data Science, and ML Engineering area.
• Storyboarding impact communication : Build effective storyboards to communicate solution impact to clients and ZS Leadership
• Scaling mindset: Provide a structure to client engagement, build and maintain standardized and operationalized Quality Checks on team s work and ensuring high quality client deliverables
• Team management : Export best practices and learnings to broader team and mentor Associates on teams

What You ll Bring:

• Bachelors degree in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytics and quantitative coursework is required
• Knowledge of programming - Python (Deep Expertise), Pyspark, SQL
• Expertise in machine learning, regression, clustering, and classification models (preferably in a product environment)
• Knowledge of big data/advanced analytics concepts and algorithms (e.g. social listening, recommender systems, predictive modeling, etc.)
• Excellent oral and written communication skills
• Strong attention to detail, with a value-addition mindset
• Excellent critical thinking and problem-solving skills
• High motivation, good work ethic and maturity.
• 3-5 years of relevant post-collegiate work experience, preferably in industries like B2C, Product companies, in execution roles focused on Data Decision Sciences, Data Engineering, Stakeholder management and building scalable processes.
• Should have hands on analytics experience where the candidate has worked on the algorithms / methodology from scratch and not merely executed existing codes and processes.
• Ability to coach, mentor juniors on the team to drive on the job learning expertise building