Data Science Manager

Job Title: Manager Data Science
Location: PuneExperience: Minimum of 6-10+ YearsType: Full-timeAbout Anervea.aiAnervea.ai is building the next-generation AI-powered intelligence stack for the pharmaceutical industry. Our platform empowers global pharma teams—across commercial, clinical, and medical functions—with real-time analytics, predictive insights, and intelligent agents.We operate at the convergence of pharma, healthcare, biotech, distributed systems, and cutting-edge cloud technology, bringing together Classical ML and Modern GenAI solutions to create powerful, meaningful insights that drive business outcomes.Our products are designed to enhance decision-making processes, and data science plays a critical role in ensuring the success of these solutions. Role OverviewLead a multidisciplinary team of data scientists, engineers, and analysts to design and deliver AI/ML solutions that drive measurable business outcomes across pharma and healthcare domains. This role requires a blend of technical expertise, strategic thinking, and strong leadership to execute enterprise-level AI/ML initiatives.Key ResponsibilitiesLeadership & Team ManagementManage, mentor, and guide a team of data scientists across multiple concurrent projectsTroubleshoot the most complex data science issues and provide technical guidanceFoster a collaborative environment that encourages innovation and continuous learningBuild and scale the data science function aligned with business growthStrategic ExecutionDrive AI/ML strategy and architecture design for enterprise-level initiativesOversee implementation of LLM, GenAI, and RAG-based automation solutionsEnsure compliance, scalability, and reproducibility of data science workflowsTranslate strategic business needs into data-driven solutions through stakeholder engagementTechnical DeliveryDesign and deliver end-to-end AI/ML solutions from conception to productionImplement MLOps best practices for model deployment, monitoring, and maintenanceEnsure data quality, model performance, and system reliabilityDrive innovation through exploration of emerging AI/ML trends and technologiesTechnical Skills Required Core TechnologiesProgramming & Data: Python, SQLML/DL Frameworks: TensorFlow, PyTorchGenAI Stack: LangChain, RAG (Retrieval-Augmented Generation), Optimization frameworksMLOps & Cloud: MLOps tools, Cloud AI platforms (AWS preferred, Azure, GCP)Experience with: Distributed systems, real-time analytics pipelinesDomain ExpertisePharma Industry AI/ML model development and deploymentNatural Language Processing (NLP) and Large Language Models (LLMs)Predictive analytics and intelligent automation and Enterprise-scale data science architectureQualificationsEducationBachelor's degree in Computer Science, Engineering, Pharmaceutical Sciences, or related fieldMaster's or PhD preferredExperience6–10+ years of hands-on AI/ML experience2+ years in leadership or team management rolesProven track record of delivering enterprise AI/ML solutionsExperience in pharma, healthcare, or biotech domains is a strong plusBehavioral CompetenciesAnalytical Mindset: Strong problem-solving abilities with a data-driven approachCommunication: Excellent written and verbal communication skills; ability to engage with senior stakeholdersCollaboration: Team player with the ability to work cross-functionallyInnovation: Curiosity and willingness to explore emerging AI/ML trendsResults-Oriented: Focus on delivering measurable business impactAdaptability: Thrives in a fast-paced startup environment with evolving priorities