What you'll do: Advanced Data Science Associate Consultant in the Insights & Analytics will
Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner
Execute statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevant information
Collaborate with clients and other ZS stakeholders to effectively integrate and communicate analysis findings
Contribute to the evaluation of emerging datasets and technologies that may contribute to our analytical platform
Evaluating emerging datasets and technologies that may contribute to our analytical platform
Owning the development of select assets/accelerators for efficient scaling of capability, with a focus on leveraging generative AI and deep learning
methodologies.
Integrate engineering principles into data science workflows, optimizing algorithms for performance, scalability, and maintainability.
Collaborate with the engineering team to implement and deploy data science solutions into production, ensuring seamless integration with existing systems.
Utilize software engineering best practices for version control, code review, testing, and documentation to maintain high-quality, reliable, and reproducible
data science workflows.
What youll bring:
Bachelor's or master's degree or PhD in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytic and quantitative coursework is required.
3-6 years of Data Science experience, including proficiency in generative AI, deep learning, statistical techniques, and engineering integration for scalable solutions.
Knowledge of programming (e.g. Java/Python/R);
Knowledge of big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, etc.);
Excellent oral and written communication skills.
Strong attention to detail, with a research-focused mindset;
Excellent critical thinking and problem-solving skills;
High motivation, good work ethic and maturity.
Exposure to Generative AI and its usage to solve problems is a plus.
Fluency in English
Client-first mentality
Intense work ethic
Collaborative spirit and problem-solving approach

Keyskills: Data Science algorithms python generative ai data mining version control ai social listening machine learning research analytics deep learning r java data science predictive modeling software engineering big data programming statistics