Data Strategy & Partnerships Associate Consultant

ZS
London
8 months ago
Create job alert

ZSis a place where passion changes lives. As a management consulting and technology firm focused on transforming global healthcare and beyond, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping solutions from start to finish. At ZS, we believe that making an impact demands a different approach; and that’s why here your ideas elevate actions, and here you’ll have the freedom to define your own path and pursue cutting-edge work. We partner collaboratively with our clients to develop products that create value and deliver company results across critical areas of their business including portfolio strategy, customer insights, research and development, operational and technology transformation, marketing strategy and many more. If you dare to think differently, join us, and find a path where your passion can change lives.

Our most valuable asset is our people.

AtZSwe 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.

ZS’s Data Strategy and Partnershipshas 2 pillars: First, advising clients on all matters related to Data Strategy. With the explosion of healthcare data and new applications, Data Strategy has emerged as key strategic initiative for many Life Science companies. The team advises clients on operating model, governance data sourcing and generation, data management, value creation, technology enablement and compliance. In close collaboration with the Digital and Technology practice, we help diagnose and roadmap the data strategy journey, design, build and operate strategic capabilities. The second pillar is building relationships and partnerships with a wide range of data providers to enable ZS access and use of the data in innovative offerings and services.

The Data Strategy Associate Consultant will be located in one of our European offices and will help deliver world-class solutions that address the development of data strategies to optimize data governance and operation, data sourcing strategy, process design, value creation and portfolio analytics, and more. This individual will have high visibility within the firm and work collaboratively with the rest of the Data Strategy team located in North America, Europe and India as well as various practice areas (e.g. Research and Development Excellence, RWE, RWD & I etc.)

Responsibilities:

Build and maintain a comprehensive level understanding and expertise on healthcare data in Europe as well as US and Asia Collaborate with ZS’ internal and client-facing teams to define approaches to address our clients’ needs; Assist in defining capabilities, building frameworks, processes, and tools to support data strategy; Partner with project leads in delivering projects and assist in project management responsibility such as project plans, people management, staffing and risk mitigation; Collaborate with other team members across the globe and ensure seamless communication and sharing/ undertaking tasks; Manage direct / indirect client communications as per the assigned responsibility in the project; Manage and collaborate with an extended team of diverse skill sets (knowledge management, technologists, business operations, etc.); Mentor/coach junior members in the team, as needed; Help build long term Data Strategy assets and offerings in collaboration with Digital and Technology teams.

Qualifications:

Bachelor's or master's degree required, with strong academic performance in analytic and quantitative coursework 2-4 years of relevant job experience; prior experience working with consultancy firms or healthcare data provider preferred Knowledge of healthcare data and experience of its practical applications (e.g. patient-level EMR, claims, omics, data and experience with RWD/RWE projects or omics data) would be a bonus Ability to translate unstructured problems into actionable processes and approaches Can think strategically, support definition and management of data standards and protocols; Self-starter, with high motivation, maturity and personal initiative Strong oral and written communication skills Empathy, adaptability, and high personal impact Self-discipline for planning and organizing tasks, and delivering in an unstructured environment Ability to multi-task and manage competing priorities;

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.

Related Jobs

View all jobs

Senior Data Analyst - RELOCATION TO ABU DHABI

Senior Big Data Engineer (Databricks) - RELOCATION TO ABU DHABI

Senior Data Analyst - RELOCATION TO ABU DHABI (United Kingdom)

Senior Data Analyst - RELOCATION TO ABU DHABI

Senior Data Analyst - RELOCATION TO ABU DHABI

Senior Data Analyst - Relocation To Abu Dhabi

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.