Top Data Science Jobs in Delhi
Build and lead a team to develop AI/ML solutions for HR product areas, drive internal development, leverage vendor solutions, ensure conformance with controls and procedures, and partner with Workforce Technology to implement data and analytics systems.
Seeking an experienced Recruiter to join the Talent acquisition team at Tiger Analytics, an advanced analytics consulting firm. Responsibilities include end-to-end recruitment processes, candidate relationship management, collaboration with hiring managers, job posting and advertisement, interviewing and evaluation, and data management. Requirements include 4+ years of in-house or consulting recruitment experience, experience in hiring data analytics-related roles, knowledge of Europe/UK hiring, and strong communication skills.
Join Atlassian as a Data Engineer in a world-class team to influence product and business decisions, work on data strategy and insights, and ensure data quality and governance. Requires 2+ years of experience in Data Engineering, expertise in Python and SQL, and knowledge of ETL and data modeling.
Work as a Data Engineer for the Data Engineering team at CrowdStrike, designing and building services for machine learning products, building automation tools, maintaining data systems, and collaborating with different teams to contribute to machine learning data.
The Staff, Data Scientist at People.AI is responsible for identifying data sources, developing data strategies, assessing and validating models, visualizing data, understanding business context, and solving complex business issues through data-driven insights.
Seeking a talented Data Scientist to design and implement predictive models, analyze complex datasets, and improve business processes through data insights. Responsibilities include statistical analyses, running SQL queries, and maintaining data infrastructure. Must have expertise in data science programming languages, statistical models, and machine learning algorithms.
Sun Life is seeking a Data Scientist to join their team and empower individuals, families, and communities worldwide. The Data Scientist will work on innovative technology, financial services, and asset management solutions to support clients in achieving lifetime financial security and living healthier lives.
Aryng is seeking a seasoned data scientist analyst with 80% analytics and 20% data science work, along with client account management. The role requires strong decision science skills, communication, stakeholder management, and statistical knowledge.
Featured Jobs
As a Data Engineer at Walmart, you will be responsible for developing and maintaining data pipelines to support data science initiatives. You will work with a mammoth scale of data to create valuable data assets for retail analytics. Collaboration with Data Scientists, Analysts, and business stakeholders to solve complex challenges is crucial for evolving the retail business model.
Senior Data Scientist responsible for driving Modular Intelligence for Walmart through application of CV/AI capabilities, developing statistical and machine learning models, building ML pipelines, and communicating insights to business partners.
Seeking a Senior Data Scientist with 7-9 years of experience to develop cutting-edge ML solutions for pricing and recommendations. Must have expertise in Python, SQL, ML techniques, and industry-standard recommender systems and pricing models.
Develop geospatial AI tools, models, and libraries. Collaborate with data scientists and engineers on product development, testing, and documentation. Troubleshoot customer issues and create tutorials. Develop pre-trained geospatial AI models for various datasets.
Lead the design and implementation of sophisticated models using Machine Learning and Deep Learning techniques, oversee the delivery of data science projects, mentor and develop team members, collaborate with stakeholders to drive business solutions, proficient in Python and knowledgeable in BI, Snowflake, and Snowpark.
Seeking bright and resourceful individuals for the Data team at AlphaGrep, a quantitative trading and investment firm in Mumbai. Responsibilities include building infrastructure tools, optimizing data delivery, coordinating with global teams, and writing efficient code. Required skills include Python and SQL knowledge. Good to have experience with web crawling, Linux environment, and stock market data.
Seeking a Senior Analytics Engineer to lead the transformation layer of a data platform at a fast-growing fintech company. Responsibilities include developing scalable patterns, ensuring data discoverability, and collaborating with various teams. Must have 3+ years of experience in data engineering or analytics, expertise in SQL and Python, and strong relational database skills.
The Data Engineer Associate at Genworth works closely with Project Stakeholders and Technical team to develop and maintain Pre/Post processing programs and ML models. Responsibilities include building machine learning pipelines, developing python programs, utilizing GCP tools, working with cross-functional teams, and developing Enterprise API and Microservices using Python, JavaScript, Docker, Kubernetes.
As a Delivery Leader for our LLM Training business, you will play a pivotal role in leading our efforts to develop high-quality, foundational LLMs. Responsibilities include leading and managing large teams of developers, collaborating with clients, maintaining quality datasets, overseeing project transitions, and enhancing code quality. Qualifications include experience in managing technical teams, proficiency in Python and/or JavaScript, hands-on technical work, strong leadership and communication skills.
As a Lead Data Scientist at Netomi, you will be responsible for driving NLP and machine learning projects, managing a team of data scientists, and developing solutions to support technical and analytical requirements. You will also perform deep analyses, build models to understand customer behavior, and extract key insights for product decisions.
The Data Engineer II is responsible for ensuring accurate and pertinent data for the Legal and Compliance departments. They extract and analyze data from multiple databases/platforms, design analytics models, and address business challenges. The role involves ensuring data integrity, conducting root-cause analyses, and implementing corrective measures for data-related issues.
Join Thrasio as a Senior Data Analytics Engineer to solve complex business problems by leveraging data, building scalable processes, and compelling visualization. Partner with stakeholders, develop scalable data solutions, and drive efficiency in processes.
Lead Data Scientist role at Encora, leading the development and implementation of advanced data science models and algorithms. Mentoring junior data scientists, collaborating with cross-functional teams, and driving innovation in data analytics.
Lead Data Scientist specializing in Natural Language Processing (NLP) to drive innovative projects in name matching, address matching, and entity resolution. Responsible for designing, developing, and deploying advanced NLP models to enhance identity verification processes. Collaborate with cross-functional teams, mentor junior data scientists, analyze data sets, and ensure scalable and secure NLP solutions.
The Data Practise Lead will be responsible for designing technical solutions, data architecture, and data security for U.S, Europe, and APAC clients. They will work on data models, databases, ETL workflows, data integration, and data quality within the organisation. Additional responsibilities include collaborating with stakeholders, staying current with industry trends, and implementing data quality tools.
Build and manage data pipelines, data lake, and Big data processing solutions using various technologies. Develop analytical tools, data models, and processes supporting data transformation. Research and prototype new tools/technologies.
Collaborate with stakeholders to understand data requirements and develop data models. Design data integration processes and data warehousing solutions. Establish data governance policies and procedures. Work with cross-functional teams and stay informed about data modelling trends.
Top Delhi Companies Hiring Data Scientists
See All
All Filters
No Results
No Results
