Advanced Data Science Associate Consultant

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS.

Our most valuable asset is our people .

At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and

make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about.

Data Science Associate Consultant

Data Science Associate Consultant (DSA) design, develop and execute high-impact analytics solutions for large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions.

What You’ll Do :

• Stay updated with the latest developments in Deep Learning and AI research.
• Implement and fine-tune advanced models in deep learning, with a focus on Transformers for sequential data (e.g., time series, text, and vision).
• Apply knowledge of large language model (LLM) fine-tuning and alignment approaches to improve model performance.
• Utilize active learning techniques to train models more efficiently and effectively.
• Collaborate with cross-functional teams to develop and deploy machine learning models in production.
• Contribute to research projects aimed at advancing the field of AI and machine learning.
• Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner
• 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
• 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 You’ll Bring :

Perks & Benefits :

ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member.

We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients / ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

Travel :

Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.