Data Science Consultant - Life Sciences
Location:
London; UKWork type: HybridSeniority: Associate ManagementPrimary skill: Data Science ConsultingPosted: 2026-09-29We're looking for a Data Science Consultant – Life Sciences to join our team in London, UK in a hybrid working mode.
In this role, you will help leading pharmaceutical and life sciences organizations leverage data, AI and advanced analytics to enable transformation across R&D, clinical, and commercial functions. Acting as a trusted advisor, you will design and deliver scalable solutions using machine learning, Generative AI and large language models to address key challenges in drug discovery, clinical development, pharmacovigilance and patient engagement.
You will combine domain experience with technical expertise and consulting capabilities, working closely with senior stakeholders to align AI strategies to business priorities. This is an opportunity to drive measurable value and shape the future of AI adoption in life sciences.
ResponsibilitiesDesign and implement AI-driven solutions across life sciences use cases such as drug discovery, clinical trial optimization and pharmacovigilanceAdvise executive stakeholders on AI strategy and translate technical concepts into actionable business outcomesDefine and deliver enterprise-wide AI and machine learning adoption roadmaps aligned to business objectivesCreate governance frameworks to ensure AI solutions meet regulatory and ethical requirements (e.g., GDPR, FDA, EMA)Prototype Generative AI and LLM-based applications to support literature mining, safety monitoring and patient programsCollaborate with data engineers, clinicians and business teams to tailor solutions to client needsDeploy AI and machine learning models in production environments using established MLOps and LLMOps practicesUse cloud platforms and data solutions to ensure scalability and operational integrityPresent data-driven recommendations to senior audiences, demonstrating the impact of AI solutionsSupport pre-sales activities including solutioning, proposals, workshops and industry presentationsRequirements8+ years of experience in data science with a focus on life sciences projects, ideally in consulting or enterprise settingsPractical experience delivering production-grade AI and machine learning solutions in regulated environmentsHands-on knowledge of Generative AI, LLM application and their relevance to life sciences use casesExpertise in structured and unstructured life sciences data, including clinical and real-world datasetsFamiliarity with machine learning techniques such as NLP and deep learning, applied to biomedical dataKnowledge of cloud technologies (Azure, AWS or GCP) and model deployment using MLOps frameworksStrong programming skills in Python and SQL with experience in frameworks such as PyTorch, TensorFlow and Hugging FaceExperience using data platforms and big data frameworks like Databricks and SparkExcellent communication skills for engaging C-level stakeholders and aligning technical outcomes with business valueNice to haveExperience applying AI in drug discovery, safety monitoring or clinical development contextsUnderstanding of biomedical ontologies or knowledge graph applicationsKnowledge of regulatory frameworks (FDA, EMA) and experience with data privacy considerationsBackground in computational biology, biostatistics or related scientific disciplineFamiliarity with federated learning concepts or privacy-preserving machine learning techniquesWe offerEPAM Employee Stock Purchase Plan (ESPP)Protection benefits including life assurance, income protection and critical illness cover Private medical insurance and dental care Employee Assistance Program Competitive group pension plan Cyclescheme, Techscheme and season ticket loans Various perks such as free Wednesday lunch in-office, on-site massages and regular social eventsLearning and development opportunities including in-house training and coaching, professional certifications, and coursesIf otherwise eligible, participation in the discretionary annual bonus program If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program*All benefits and perks are subject to certain eligibility requirements