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.
... novel measurement approaches Ideal For: Senior and Staff data scientists who want one of the hardest, most consequential analytics surfaces in AI software Applied ML practitioners who'd rather build the pipeline than wait for one Analysts who moved into ML and never stopped shipping Anyone drawn to where classical ML, LLM-native ...
DATA SCIENTIST - TIME SERIES FORECASTINGAre you a Data Scientist who loves turning historical data into accurate predictions and actionable business insights?Were looking for a Data Scientist with strong hands-on experience in Time-Series Forecasting, Machine Learning, Python/R and SQL to build forecasting solutions that ...
About the role — We are seeking a skilled Data Scientist to join our team, focusing on the development and implementation of advanced AI models. The ideal candidate will leverage generative AI and large language models (LLM) to enhance our data-driven decision-making processes. Key responsibilities : Design and develop ...
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... computational engineers, machine learning engineers, software developers, or business representatives across our global organization to research, develop, and deliver data science tools,models, or software for solving challenging business problems in the oil and gas industry. Lead end-to-end delivery of AI/ML solutions: scoping, ...
... statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc. - Contribute to internal product development initiatives related to data science. - Develop data science roadmap, and guide data scientist to meet their deliverables. - Handling end-to-end client AI & analytics programs. Your role ...
... analytical methodologies, and scale AI impact through strategic application of tools and technologies- Build and lead high-performing teams : Lead a team of 6 - 10 data scientists with full accountability for performance management, capability development and career growth- Deliver high-quality analytical solutions : Lead team ...
Role Summary : The Senior Data Scientist will lead advanced analytics initiatives, leveraging AI/ML, Generative AI (GenAI), and Agentic AI to deliver decision intelligence solutions. This role involves designing solutions, collaborating with cross-functional teams, and mentoring junior data https://jobeax.com/link/jOXlfQ8JM0UfgeL3 ...
... Science, Data Science, Mathematics, Statistics, or related fields. A strong academic pedigree is highly preferred. Overview: We are seeking a talented and motivated Data Scientist to join our team. The ideal candidate will have 2-5 years of hands-on experience in the development and deployment of Machine Learning (ML) projects. ...
NPS Prism Title: Data Scientist II (Work From Home) NPS Prism is a market-leading, cloud-based SaaS business owned by Bain & Company. NPS Prism provides its customers with actionable insights and analysis that guide the creation of game-changing customer experiences. NPS Prism customers use our customer experience benchmarks ...
Partner with Product to spot high-leverage ML opportunities tied to business metrics. build reliable features and data contracts. Build and ship models to: Enhance customer experiences and personalization Boost revenue via pricing/discount optimization Detect and block fraud/risk in real time Collaborate with Engineering ...
Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. The below role is for our ...
... learning as applied in computer vision, Experience with LLMs, Ecommerce domain. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next ...
... presentations, global thought leadership, media participation, and commercial work through the company's product suites About The Role We are looking for a Data Scientist to join Mastercard's Economics Institute, reporting to the team lead for Data Systems Engineering. An individual who will: create clear, compelling data visualisations ...
Experience : 7+ years of experience in Data Engineering, Data Quality, or Data Governance. 3+ years of experience working on AWS Data Platforms. Strong hands-on expertise in: - Python - SQL - Data Quality Engineering - Data Profiling - Data Validation Frameworks - Experience building AI-powered data quality and governance ...
Data Scientist with GenAI (5 - 8 Years) - BangaloreWe are looking for a highly skilled Data Scientist with Generative AI expertise to design, develop, and deploy AI-driven solutions that solve complex business challenges. The role involves working on Machine Learning models, Large Language Models (LLMs), Retrieval-Augmented ...
... compliance. Partner with Data Scientists, Fraud Analysts, and Engineering teams to deliver data-driven solutions. 4+ years of experience in Data Engineering or Big Data Engineering. - 2+ years of experience building large-scale distributed data processing systems. - Experience supporting production-grade analytics and ML platforms. ...
... Build and integrate APIs that expose statistical models, analytical services, and machine learning solutions to front end and external systems. Collaborate with data scientists and business stakeholders to operationalize computational and statistical models in production environment. Integrate backend services with Azure cloud ...
... Build and integrate APIs that expose statistical models, analytical services, and machine learning solutions to front end and external systems. Collaborate with data scientists and business stakeholders to operationalize computational and statistical models in production environment. Integrate backend services with Azure cloud ...
... MWAA, AWS Step Functions , or similar orchestration tools. Collaborate with Data Analysts and Data Scientists to deliver clean, structured, and analytics-ready datasets. Optimise data pipelines for performance, scalability, reliability, and AWS cost efficiency . Integrate data from multiple internal and external systems while ...