Data Scientist II - Life Sciences.AI

Overview

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have:

• Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
• A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
• Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
  
  

As a highly collaborative individual, you enjoy solving problems that focus on adding business value, and you have a sense of ownership, enjoying hands-on technical work.

You will collaborate with business stakeholders, engineers, and internal teams to build and implement extraordinary pharma-focused data products (re-usable assets) and solutions, delivering them right to the client with the utmost importance. You will also be responsible for developing deep Life Sciences domain understanding in at least one of the following areas: Manufacturing, Procurement, Supply Chain, Chemical Discovery, Molecular / Materials Optimization, Clinical Trial Design and Operationalization, Real World Evidence, and Commercial.

You will build real-world scalable machine learning pipelines and deploy them to production, operate at the intersection of data science and software engineering to create analytics solutions, and produce high-quality code that allows us to put solutions into production. You will lead the thinking on choosing and using the right analytical libraries, programming languages, and frameworks. You will also build analytics libraries and tools based on project experience and the latest research, refactor code into reusable libraries, APIs, and tools, and play an active role in leading team meetings and workshops to inform product development and process evolution.

In this role, you will learn how successful projections on real-world problems across Life Sciences use cases are completed through referencing past deliveries of end-to-end pipelines. You will build products alongside the Core Engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations. You will be focused on the wrangling, clean-up, and transformation of data by working alongside the Data Science team, which focuses on modeling the data. You will use new technologies and problem-solving skills in a multicultural and creative environment.

You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy, and elite sport. You will also experience real-world impact through unique international learning and development opportunities. You will benefit from work that fuses technology and leadership, using the latest technologies and methodologies within first-class learning programs at all levels. You will collaborate within multidisciplinary teams of data scientists, engineers, project managers, UX and visual designers who work together to enhance performance. You will be part of an innovative work culture where creativity, insight, and passion come from balance, supported by wellness initiatives, insightful talks, and training sessions. You will also experience a diverse environment, with colleagues from over forty nationalities, recognizing the benefits of working with people from all walks of life.

You will work in multi-disciplinary global Life Science–focused environments, harnessing data to provide real-world impact for organizations globally. Our Life Sciences practice focuses on helping clients bring life-saving medicines and medical treatments to patients. This practice is one of the fastest-growing practices and is comprised of a tight-knit community of consultants, research, solution, data, and practice operations colleagues across the firm. It is also one of the most globally connected sector practices, offering ample global exposure. The Life Sciences.AI (LS.AI) team is the practice’s assetization arm, focused on creating reusable digital and analytics assets to support our clients’ work. LS.AI builds and operates tools that support senior executives in pharma and device manufacturers, for whom evidence-based decision-making and competitive intelligence are paramount. The team works directly with clients across Research & Development (R&D), Operations, Real World Evidence (RWE), Clinical Trials, and Commercial to build and scale digital and analytical approaches to addressing their most persistent priorities.

Your Qualifications and Skills

• Bachelor’s degree in computer science, engineering or mathematics, or equivalent experience
• 3+ years of relevant experience with strong foundations of statistics and machine learning techniques
• Proven experience applying machine learning techniques to solve business problems
• Proven experience in translating technical methods to non-technical stakeholders
• Proven experience writing production-grade code (Python) for machine learning in a professional setting
• Strong understanding of analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, kedro, mlflow)
• Familiarity with any cloud platforms (AWS, Azure, or GCP)
• Familiarity with containerization technologies (Docker, Docker-compose)
• Familiarity with automation frameworks (CircleCI, Jenkins, Github Actions, Drone, etc.)
• Familiarity or hands-on experience with data visualization tools (PowerBI, Tableau, etc.)
• Familiarity or hands-on experience with pipeline orchestration frameworks or orchestrators in general (Airflow, Argo Workflows, Kedro, Dagster, etc.)
• Familiarity or hands-on experience with testing libraries (e.g. pytest)