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.
... 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 ...
... 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 ...
... opportunity for a Data Scientist to join a new and rapidly growing intraday team. In this role you will partner with our close-knit team of quantitative researchers, data engineers, technologists and data sourcing colleagues to research, engineer, and validate quantitative signals derived from high-frequency equity market data ...
LOCATION : Gurgaon, Noida, Bangalore, Pune, HyderabadJOB OBJECTIVE : Data Scientist with 3+ years of experience in developing scalable Machine Learning models and their https://jobeax.com/link/MJvWAZuK638tHuBb RESPONSIBILITIES : Tech Stack & Skills : - Experience in model development using Python/PySpark libraries. Development ...
based company specializing in AI-driven solutions is hiring Data Scientists to collaborate on cutting-edge commercial and research AI projects. This opportunity is ideal for professionals passionate about innovation and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, provide ...
LOCATION : Gurgaon, Noida, Bangalore, Pune, HyderabadJOB OBJECTIVE : Data Scientist with 3+ years of experience in developing scalable Machine Learning models and their https://jobeax.com/link/MJvWAZuK638tHuBb RESPONSIBILITIES : Tech Stack & Skills : - Experience in model development using Python/PySpark libraries. Development ...
... personalization.- Perform feature engineering, data wrangling, model selection, hyperparameter tuning, and model evaluation.- Monitor model performance and ensure robust ML lifecycle management using tools like MLflow and Airflow.- Document processes and present insights, findings, and recommendations to both technical and non-technical ...
... beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. Job Title: Data Scientist We're the world's leading data, insights, and consulting company we shape the brands of tomorrow by better understanding people everywhere. We are looking for a Data Scientist who will ...
... America's Top GreenTech Companies for the 3rd year in a row. Deloitte Technology Fast 500™ ranked AiDASH No. AiDash is looking for an experienced Manager – AI Data Ops to lead a team responsible for sourcing, processing, and annotating satellite and remote sensing imagery that powers our AI/ML models. This role blends hands-on ...
... skilled Data Engineer to help scale and enhance our internal data observability and analytics platform. This platform integrates with data annotation tools and ML pipelines to provide visibility, insights, and automation across large-scale data operations. You will design and optimize robust data pipelines, build integrations ...
... optimization and data access strategies for APIs serving real-time compliance dashboards, establishing benchmarks and SLOs Lead data infrastructure work for AI/ML features, including dataset curation, feature engineering, and pipeline design supporting cloud-native AI capabilities Define and enforce data quality standards, ...
... Pipeline, ETL/ELT, and Data Warehousing. - Effective use of AI and/or LLMs to increase efficiency in deliverables. - Extensive experience working with various data sources (DB2, SQL,Oracle, flat files (csv, delimited), APIs, XML, JSON). - Experience implementing data integration techniques such as event/message based integration ...
... in driving value for our customers by building data solutions. You'll be carrying out data engineering tasks to build, maintain, test and optimise a scalable data architecture, as well as carrying out data extractions, transforming data to make it usable to data analysts and scientists, and loading data into data platforms. ...