Lead ML / Data Scientist in Gurugram, India is listed on Jobeax. Browse 30,000+ vacancies available.
ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. Instead, you'll be out in the open water, shaping the future with brilliant minds. We are looking for a Lead Data Scientist who can own data science engagements end to end, from shaping the problem with the client to delivering and operationalizing ML solutions. You will lead a team of data scientists, guide technical decisions, and help grow ProcDNA's data science practice through client relationships and new capabilities.
Work with clients to translate business questions into well-scoped data science problems, and define the approach, data requirements and success measures.
Design and oversee ML solutions across the pharma commercial lifecycle, and choose methods that fit the data and the decision they support.
Quality-check the team's work and guide models to production through cross-team collaboration.
Lead project delivery across timelines, scope and team allocation, often across parallel engagements.
Mentor and manage a team of data scientists, and keep yourself and the team current with advancements in the field for collective growth.
Contribute to business development and internal capability building through proposals, POCs and reusable offerings, and help the practice grow
5.5+ years of hands-on experience in data science and ML, with at least 2 years leading projects or teams in a pharma consulting or client-facing setting.
A Bachelor's or Master's degree in engineering, statistics, mathematics or a relevant quantitative field.
Experience with life sciences data, such as claims (Komodo, IQVIA, Symphony), specialty pharmacy, CRM, DDD, Lab and other HCP, account or patient-level data.
Strong depth in Statistics, supervised and unsupervised ML, Deep learning and GenAI concepts, along with experience in deploying models to production.
Strong Python and SQL, with experience on distributed or cloud platforms such as Databricks, PySpark and AWS/Azure.
A track record of owning client communication and explaining results to non-technical stakeholders.
Experience in guiding and managing a team of data scientists.
... applications using Python for backend services and React JS for frontend development, following coding standards and engineering best practices. - Build and deploy AI/ML solutions in production environments to strengthen data controls, quality checks and risk detection across enterprise metadata and data management platforms. - ...
... hands-on experience with LLMs and LLM-based applications.- Experience with RAG, embeddings, vector databases, prompt engineering, and AI agents.- Experience with AI/ML frameworks and model development libraries.- Strong software engineering fundamentals including APIs, microservices, databases, and distributed systems.- Experience ...
Solution Architecture and Design: Provide architectural leadership and consultation for AI/ML, advanced analytics, and data science solutions leveraging the enterprise ModelOps platforms, including Databricks and Posit. Define and promote architecture standards, reference patterns, and best practices for model development, ...
BBRC - Principal Scientist - Pathology Start Date Starts Immediately CTC (ANNUAL) Competitive salary Competitive salary Experience 3 year(s) 3 year(s) Apply By Not Provided Posted 1 week ago Job Be an early applicant About the job Designation: Principal Scientist Job Location: Bangalore Department: Pathology/IHC About Syngene, ...
... interrogation, manipulation & building, field development planning, as well as well planning and execution experience. Experience with subsurface modelling workflows and data integration (e.g. dynamic modelling, mechanical earth modelling, petrophysics, geophysics) is also needed for the role. Experience with digital/data projects ...
... Drive conceptualization within teams to enable development of successful protocols for effective screens and hit selection - Mentoring and training junior scientists in research, design and experimental execution, interpreting data and data presentation to collaborators and partners - Serve as authority in the field of ...
... required (safety glasses, gowning, gloves, lab coat, ear plugs etc.) Job Description About the company: Thermo Fisher Scientific Inc. (NYSE: TMO) is the world leader in serving science, with annual revenue of approximately $44 billion. Our Mission is to enable our customers to make the world healthier, cleaner, and safer. ...
... platforms. - Drive protocol conceptualization and development within the team, enabling successful transfer of workflows to operational teams. - Provide informal leadership, technical supervision, and mentoring to junior scientists—supporting experimental design, data interpretation, and presentation to collaborators and stakeholders. ...
... Software proficiency: Proficiency in MS Office (Word, PowerPoint, Excel) and statistical software such as GraphPad Prism, ggplot etc. Experience with website and/or database design using various platforms such as HTML, JavaScript, ShinyR, PowerApps etc. The ideal candidate would be: · Self-motivated and a proactive self-starter ...
... monitoring and drive change in the organization.- Own production reliability and performance; drive incidents to root cause.- Mentor and review the work of the junior Data Engineer.- Partner with Data Scientist, AI Engineers and Business Analyst and support them with data.- Handle real-time and batch data https://jobeax.com/link/azWbZnxGZ1bWkVxQ ...
... :- Own data preparation for ML workloads, including data profiling, cleansing, deduplication, labeling, and validation.- Work with structured and unstructured datasets across relational databases, data lakes, and document sources.- Define and maintain training, evaluation, and inference datasets to support reliable model ...
... errors, GPU utilization, and resource consumption. - Containerize ML workloads using Docker and deploy/manage them using Kubernetes/Amazon EKS. - Collaborate with Data Scientists, ML Engineers, DevOps teams, and other stakeholders to build scalable and reliable AI/ML solutions. Requirements - Strong programming experience in ...
Job Title: ML / Fine-Tuning Engineer Location: Hyderabad OR Pune Notice Period : 0-30 Days Mode of Work:Hybrid Experience :5+ Years We are looking for ML / Fine-Tuning Engineer who can deliver (under supervision of ProServe Tech Lead) the end-to-end fine-tuning of open-source LLMs for a narrow, high-volume production task ...
... prompt injection, jailbreak attempts, sensitive data exposure, policy violations, and anomalous agent behavior . You'll own detection models end to end, from data and training through evaluation and production serving , with models running inline in Go-based gateway and endpoint services. We're looking for an ML Engineer ...
... production-ready GenAI systems, integrating LLMs into enterprise applications, and optimizing performance in cloud-native environments. You will collaborate with data scientists, product managers, and engineering teams to operationalize cutting-edge AI/ML innovations. Key Responsibilities Design and deploy GenAI solutions leveraging ...
... AI/ML solutions.- Build production-grade Generative AI and LLM-powered applications.- Design and optimize RAG pipelines, AI Agents, and multi-agent workflows.- Lead ML pipeline deployment, monitoring, and optimization.- Develop FastAPI-based AI services.- Implement semantic search using Vector Databases.- Mentor junior engineers ...
... robust technical solutions that enable advanced analytics, AI/ML, and data-driven decision-making across insurance focused business domains. Key Responsibilities: Lead the end-to-end architecture and solution design for enterprise data platforms on Azure, with strong focus on Databricks Lakehouse, Delta Lake, and scalable cloud-native ...
Experience: 6 – 10 years Bachelor's degree in computer science, computer engineering, IT, Data Science Location: Pune or Remote India only Key Responsibilities: Design, develop, and implement Agentic AI systems capable of autonomous decision-making and task execution. Build and optimize AI/ML models leveraging LLMs, NLP, ...
... companies . - Proven experience handling enterprise-level Indian customers , understanding their business culture and delivery expectations. - Strong exposure to AI/ML-based product implementations or integrations. - Deep understanding of Agile/Scrum delivery practices. - Demonstrated ability to lead multi-disciplinary teams ...