ZS
Business Technology Solutions Associate Consultant R&D

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
About ZS
ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. 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.
What you’ll do
Business Technology Solutions Associate Consultant in the Technology Services area will...
- Design, build, and deploy production-grade AI/ML solutions to solve complex R&D and life-sciences problems
- Develop and maintain end-to-end AI pipelines, including data ingestion, feature engineering, model training, evaluation, deployment, and monitoring
- Implement generative AI and agentic AI solutions, including orchestration frameworks, prompt engineering, and model integration into enterprise workflows
- Collaborate with data engineering and cloud teams to operationalize AI models at scale
- Apply software engineering best practices (versioning, testing, CI/CD) to AI systems
- Monitor model performance, data drift, and reliability; iterate based on real-world usage and feedback
- Contribute directly to the implementation of AI/ML solutions, including data preparation, model development, and deployment support
- Develop Python-based analytics and AI components under the guidance of senior technical leads
- Support testing, validation, and performance evaluation of AI models in real-world scenarios
- Collaborate with ZS internal teams and client teams to shape and implement high quality technology solutions that address critical business challenges
- Develop a deep understanding of the business challenges and effectively translate them into technical designs
- Lead modules and workstreams within projects while actively participating in hands-on implementation
- Work with technical architects to validate the technical design and implementation approach
- Apply appropriate development methodologies and best practices to ensure exceptional client and project team experience
- Support the project lead in project delivery, including project planning, people management, staffing, and risk mitigation
- Manage a diverse team with various skill sets while providing mentorship and coaching to junior members
- Lead task planning and distribution among team members for timely completion of projects with high-quality results
- Lead the project deliverables such as business case development, solution vision and design, user requirements, prototypes, technical architecture, test cases, deployment plans and operations strategy
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What you’ll bring
- Bachelor's or Master's degree in Business Analytics, Computer Science, MIS or related field with academic excellence
- 3-5+ years of relevant professional experience in delivering small/medium-scale technology solutions
- Experience in R&D technology projects including large-scale clinical transformation programs
- Good knowledge of R&D business processes enhancements based on experience/best practices, business knowledge, and gaps in current vs. future state in one or more of the following R&D domains: Clinical, Quality, Regulatory, and/or Safety
- Hands-on experience with Python-based data science or AI development through coursework, projects, or professional work
- Exposure to deploying or supporting AI solutions on cloud platforms
- Interest in growing into full-stack AI engineering and solution delivery roles
- Experience in implementing Agentic AI solutions, preferred to have formal education or certifications in AI & ML courses
- Ability to lead project teams, drive end-to-end activities, meet milestones, and provide mentorship/guidance for the team growth
- Strong understanding of RDBMS concepts, SQL, data warehousing and reporting
- Experience with big data concepts, data management, data analytics and cloud platforms
- Proficiency in programming languages like Python
- Strong analytical and problem-solving skills, including expertise in algorithms and data structures
- Fluency in English
- Client-first mentality
- Intense work ethic
- Collaborative spirit and problem-solving approach
Additional Skills
- Strong communication skills, both verbal and written, with the ability to structure thoughts logically during discussions and presentations
- Capability to simplify complex concepts into easily understandable frameworks and presentations
- Proficiency in working within a virtual global team environment, contributing to the timely delivery of multiple projects
- Willingness to travel to other offices as required to collaborate with clients and internal project teams
- Strong communication skills, both verbal and written, with the ability to structure thoughts logically during discussions and presentations
- Capability to simplify complex concepts into easily understandable frameworks and presentations
- Proficiency in working within a virtual global team environment, contributing to the timely delivery of multiple projects
- Travel to other offices as required to collaborate with clients and internal project teams


Get help with your application
Your very own career expert that helps elevate your application to the next level.
How you’ll grow
- Cross-functional skills development & custom learning pathways
- Milestone training programs aligned to career progression opportunities
- Internal mobility paths that empower growth via s-curves, individual contribution and role expansions
Perks & Benefits
At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. With robust skills-building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you’ll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States, visit ZS US office locations | Where we work | ZS.
Hybrid working model
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.
Considering applying?
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 integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.
If you’re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.
To complete your application: An online application, including a full set of transcripts (official or unofficial), is required to be considered.
NO AGENCY CALLS, PLEASE.
Find Out More At: www.zs.com
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills