At a Glance
- Tasks: Drive data science solutions to enhance pharmaceutical sourcing and operational efficiency.
- Company: Join a leading joint venture between Walmart and McKesson, focused on affordable medicines.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
- Why this job: Make a real impact in healthcare by leveraging data to improve patient access to medications.
- Qualifications: 5 years in data science with strong skills in Python, R, and machine learning.
The predicted salary is between 48000 - 72000 £ per year.
ClarusONE Sourcing Services, LLP provides strategic generic pharmaceutical services for both Walmart Stores, Inc. and McKesson Corporation. Its mission is to enable access to affordable medicines, which it has successfully been doing since its inception in 2016. ClarusONE is a joint venture between Walmart and McKesson, two of the top 10 biggest corporations in the USA, according to the Fortune 500 list. They have more than two decades of history working together to improve the quality and lower the cost of pharmaceutical care to patients.
The environment in which ClarusONE operates constantly requires the organisation to adapt and change, seeking greater efficiency in how it works through improved process, technology innovation and new ways of working. Delivering these changes with discipline and rigour will ensure that they land with maximum impact, delivering for our Members and for the patients that they serve. ClarusONE Sourcing Services is headquartered in London and prides itself on its can-do attitude that has ensured millions of Americans pay less when buying generic pharmaceuticals every day.
Job Purpose: The highly competitive US generic pharmaceutical sector continues to challenge every element of the supply chain. In this dynamic environment, patients are served through evolving channels, while manufacturers, distributors, and dispensers must adapt to shifting market forces, payer dynamics, and regulatory frameworks. At ClarusONE, we play a pivotal role in enabling efficient supply-chain models and delivering value to our Members through innovative sourcing and data-driven solutions. The Data Scientist will be instrumental in advancing ClarusONE’s analytics capabilities by applying statistical modelling, machine learning, and predictive analytics to complex business problems. This role will drive the development of scalable data-science solutions that inform strategic sourcing, risk mitigation, and operational efficiency. The Data Scientist will collaborate cross-functionally to embed advanced analytics into technology platforms and decision-making processes, supporting the long-term vision and goals of the business.
Responsibilities:
- Develop and deploy statistical models, machine learning algorithms, and forecasting tools to support strategic sourcing, supplier risk assessment, and market dynamics.
- Lead exploratory data analysis and hypothesis-driven investigations to uncover actionable insights and inform business strategy.
- Design and implement predictive models to anticipate supply disruptions, pricing shifts, and demand fluctuations.
- Collaborate with Engineering and Product teams to productionise data-science solutions within ClarusONE’s technology platforms.
- Apply rigorous statistical techniques to evaluate sourcing strategies, supplier segmentation, and product lifecycle dynamics.
- Champion experimentation frameworks (e.g., A/B testing) to assess impact of sourcing initiatives and optimise decision-making.
- Build and maintain analytical pipelines using Python, R, SQL, and cloud-based platforms.
- Communicate complex analytical findings clearly to stakeholders across technical and non-technical audiences.
- Partner with business functions to identify high-impact opportunities for advanced analytics applications.
- Act as a subject-matter expert and mentor to junior analysts, guiding best practices in advanced analytics and modelling while clearly communicating technical insights to diverse audiences.
- Champion ClarusONE’s data assets and lead the adoption of innovative, data-driven approaches across the full analytics lifecycle—from prototyping to resolving complex data issues.
- Contribute to the development of strategic insight products that integrate data science with business intelligence and visualization tools.
- Stay abreast of industry trends in pharmaceutical supply-chain analytics, regulatory changes, and data-science methodologies.
Required/Basic Qualifications:
- 5 years’ experience in data science, advanced analytics, or statistical modelling roles.
- General ML modelling experience – Azure ML.
- Proficiency in Python or R for statistical analysis, machine learning, and data manipulation.
- Experience in statistical modelling techniques such as regression, time-series forecasting, clustering, classification, and survival analysis.
- Experience delivering POCs, shaping early-stage analytics functions, and building new workflows.
Preferred Qualifications:
- Knowledge of MLOps practices and deployment of models into production environments is a plus.
- Experience designing and executing A/B tests, causal inference studies, and experimental frameworks.
- Strong understanding of supply-chain dynamics, sourcing strategy, and risk modelling in a regulated environment.
- Time management, including ability to organise and prioritise work to consistently meet critical and/or conflicting daily deadlines while ensuring the highest level of accuracy.
- Ability to build positive working relationships with internal and external business partners and to influence a diverse set of stakeholders.
- Strong SQL skills and experience working with large-scale relational and cloud-based databases (e.g., Snowflake, BigQuery).
- Experience with machine learning frameworks (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch).
- Ability to work autonomously and comfortable with ambiguity.
- Experience in the healthcare field, preferably in generic pharmaceuticals (pricing, sourcing or distribution) preferred, though not required.
Education/Experience:
- Bachelors degree (Masters or PhD preferable) in Mathematics or a heavily quantitative field.
Sr Data Scientist employer: McKesson
ClarusONE Sourcing Services, LLP is an exceptional employer that fosters a dynamic and innovative work culture in the heart of London. With a strong commitment to employee growth, team members are encouraged to develop their skills through collaboration and mentorship, particularly in advanced analytics and data science. The company's mission to provide affordable medicines ensures that employees contribute to meaningful work that positively impacts millions of patients, making it a rewarding place to build a career.
StudySmarter Expert Advice🤫
We think this is how you could land Sr Data Scientist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at ClarusONE. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those involving machine learning and predictive analytics. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your technical skills, especially Python and SQL, as they’re crucial for the role. Consider doing mock interviews with friends or using online platforms to get comfortable with common questions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the ClarusONE team!
We think you need these skills to ace Sr Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight relevant experience in data science, machine learning, and statistical modelling. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how you can contribute to our mission at ClarusONE. Keep it concise but impactful – we love a good story!
Showcase Your Projects:If you've worked on any cool data science projects, make sure to mention them! Whether it's a personal project or something from work, we want to see your hands-on experience and creativity in action.
Apply Through Our Website:Don't forget to apply through our website! It's the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at ClarusONE.
How to prepare for a job interview at McKesson
✨Know Your Data Science Stuff
Make sure you brush up on your statistical modelling and machine learning techniques. Be ready to discuss specific projects where you've applied these skills, especially in areas like regression or time-series forecasting. ClarusONE is looking for someone who can hit the ground running, so show them you’ve got the chops!
✨Understand the Pharmaceutical Landscape
Familiarise yourself with the generic pharmaceutical sector and its supply chain dynamics. Knowing how market forces and regulatory frameworks impact sourcing strategies will give you an edge. Bring examples of how your analytical skills can help navigate these challenges.
✨Communicate Clearly
You’ll need to explain complex data findings to both technical and non-technical audiences. Practice simplifying your insights and think about how you can make your points clear and engaging. This will demonstrate your ability to collaborate across teams at ClarusONE.
✨Show Your Problem-Solving Skills
Be prepared to discuss how you've tackled real-world business problems using data science. Think of specific instances where your predictive models or A/B testing led to actionable insights. ClarusONE values innovative solutions, so highlight your creative thinking!
