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.
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. ...
Job Summary :We are looking for an experienced Senior Data Scientist Manager to lead data science initiatives, manage a team of data scientists, and drive the development and deployment of advanced analytical and machine learning https://jobeax.com/link/5WM6jVJPxXxkaX5M role will work closely with business and technology ...
... troubleshoot AI applications in production environments.- Optimize LLM applications for scalability, performance, latency, reliability, and cost.- Collaborate with Data Scientists, ML Engineers, Cloud Engineers, DevOps teams, and business stakeholders.- Follow - SDLC, Agile, version control, testing, documentation, and production ...
... Analytics department is organized into specialized groups including Applied Statistics, AI/Machine Learning, Operations Research, and Generative AI. As an Advanced Data Scientist in the AI/ML team at Eastman, you will develop, implement, and operationalize predictive and prescriptive models using traditional machine learning ...
Principal Data Scientist - 7+ Years - BangaloreWe are hiring a Principal - Data Scientist with GenAI for a leading global AI and analytics organization. The role offers an opportunity to work on complex business problems and develop, implement and deploy Machine Learning and Generative AI solutions across https://jobeax.com/link/iWvc74qOaz1N3AKd ...
... proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production - Leading projects and mentoring other scientists, engineers in the use of ML techniques International Machine Learning Team is responsible for building novel ML solutions ...
... Responsible for implementation of security policies and procedures and report any issues to the CISO. 7+ years of overall professional experience delivering data-driven AI/ML-focused solutions. 3+ years of direct team management experience, leading Data Scientists, ML Engineers, or similar technical roles. - Hands-on experience ...
... classical ML models and Large Language Models (LLMs). - Expert-level proficiency in Python, SQL and its data science libraries (e.g., Proven track record of leading complex, end-to-end data science projects that have delivered significant business impact. Experience with cloud-based ML platforms / ML ops (e.g., AWS SageMaker, ...
... leadership responsibilities with hands‑on technical contributions to ensure timely, high‑quality delivery. 7+ years of overall professional experience delivering data-driven AI/ML-focused solutions. 3+ years of direct team management experience, leading Data Scientists, ML Engineers, or similar technical roles. - Hands-on experience ...
... Technical Skills You have experience in leading the system design and implementation of technical solutions. Working with data excites you; You have created Big Data architecture, can build and operate data pipelines, and maintain data storage, all within distributed systems. You have a deep understanding of data modeling ...
... partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Lead Data Engineer Who is Mastercard Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital ...
... Data, Cloud Infrastructure, Data Engineering, and Applied Artificial https://jobeax.com/link/Z4S3vFYKsGGU38on Overview :We are seeking an experienced Senior Data Scientist with end - to - end expertise in modern Generative AI, Large Language Models (LLMs), Agentic workflows, and cloud - native ML infrastructure (Databricks ...
... Data, Cloud Infrastructure, Data Engineering, and Applied Artificial https://jobeax.com/link/Z4S3vFYKsGGU38on Overview :We are seeking an experienced Senior Data Scientist with end - to - end expertise in modern Generative AI, Large Language Models (LLMs), Agentic workflows, and cloud - native ML infrastructure (Databricks ...