Sr. Data Scientist
McKesson
- London, England, United Kingdom
- London, England, United Kingdom
À propos
Job Title:
Data Scientist
Location:
London, United Kingdom
Level:
P4
Reports to:
Senior Manager, Insights & Data Science
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.
McKesson has become aware of online recruiting‑related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting‑related communications with candidates. McKesson job postings are posted on our career site: careers.mckesson.com.
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Compétences linguistiques
- English
Avis aux utilisateurs
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