2,880 data science training jobs in India.

... monitoring, and troubleshooting distributed systems Experience & Educational Requirements Qualifications and Experience EDUCATIONAL QUALIFICATIONS: (degree, training, or certification required) BE/B-Tech or equivalent with Computer Science or Electronics & Communication RELEVANT EXPERIENCE: (no. of years of technical, functional, ...

SAS Clinical

PRT Social Studies Teach Social Studies to primary students in an engaging and age-appropriate manner. Develop lesson plans, conduct classroom activities, assess learning, and support students' overall development. Maintain a positive and child-friendly classroom... Full time

TGT Science Teacher – Chintamani, Karnataka Location: Chintamani, Karnataka Position: TGT Science Teacher Salary: ₹30,000 – ₹35,000 per month Job Description We are looking for an experienced and dedicated TGT Science Teacher to join a reputed school in Chintamani, Karnataka. The candidate should have strong subject knowledge ...

... SKILLS AND ABILITIES - Technical skills (manufacturing, planning, project management, industrial engineering, materials engineering, biomechanical or sport science preferred) - Communication skills (presentation, efficient note taking, computer literate) - Analytical skills, reporting and data collection - Open mind, passionate ...

... Generative AI, Data Science, and/or Enterprise Architecture, with a proven track record of delivering production-grade LLM and AI solutions. - Degree in Computer Science, AI, Data Science, Engineering, or a related field. Coding & Engineering Expertise ( Strong - Non-Negotiable) - Python (primary, expert-level): You write clean, ...

... practices to meet the needs of diverse leadership audiences. Duties and Responsibilities: Program Planning & Coordination - Manage the end-to-end planning of training calendars, including scheduling sessions across multiple time zones and securing internal or external venues. - Coordinate with department heads to identify ...

... Full‑Stack Development . - Open‑source contributions or personal GitHub projects. What Makes You Eligible - Bachelor’s degree (or final‑year student) in Computer Science, AI/ML, Data Science, or a related field . - Strong foundation in programming, data structures, and software engineering basics . - Passion for AI, autonomous ...

... Computer Science, Information Systems, Mathematics or related field/degree - Willingness to travel; 20% to support customer engagement Tools and Resources - Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous ...

... consider clinical relevance, bias, calibration, robustness and real-world https://jobeax.com/link/90wc9DX4jn9IJvgG We're Looking For2–6 years of experience in Data Science, Machine Learning, Applied Statistics or a related fieldStrong understanding of machine learning and statistical modellingStrong Python and SQL skillsExperience ...

... AUNZ. This role focuses on building and maintaining data pipelines using Databricks (Unity Catalog, DABs, DLT), PySpark, and SQL, delivering enterprise-scale data transformation, and supporting Power BI reporting through well-modelled silver/gold layer datasets. The Data Engineer works closely with the Head of Data & Analytics ...

... https://jobeax.com/link/ylLUYLmAnFRP3UAj Qualifications : - 5+ years of experience in data engineering and building production-grade data pipelines.- Strong hands-on experience with data platforms such as Databricks.- Solid knowledge of data modeling, SQL, Spark, and Python.- Experience with orchestration frameworks, data quality tooling, and ...

... Bachelor's degree in Data Science, Computer Science, Statistics, Business Analytics, or related field. - Proven experience with SQL queries, database management, and data manipulation. - Hands-on experience with Power BI for creating dashboards, visualizations, and reports. - Basic understanding of data modeling and data warehousing ...

... teams to integrate predictive models into live production environments, ensuring low-latency performance and high reliability.- Conduct deep-dive exploratory data analysis on large-scale financial datasets to uncover hidden patterns that drive product strategy and business growth.- Partner with stakeholders to define key ...

... activities across the data https://jobeax.com/link/GmpRkycDUBUNhxr2 Responsibilities : - Define data quality rules and controls- Conduct profiling and reconciliation- Develop DQ dashboards and scorecards- Monitor data quality KPIsSkills : - SQL- Data Profiling- Data Governance- Power BI- Data Quality Tools (ref:hirist.tech)

... experience in data engineering principles, data integration, transformation, and cloud-based data platforms, with the ability to build reliable and high-performing data solutions. You will work closely with data analysts, data scientists, software engineers, and business stakeholders to develop data pipelines, optimize data workflows, ...

... Data Science and Machine Learning, with expertise in NLP, Generative AI, LLMs, MLOps, optimization techniques, and AI solution architecture. - PhD in Computer Science, Data Science, or a related field (or equivalent research experience - Experience with leading client presentations on proposed solution. - Familiarity with ...

... working on a product where the output is someone having a great day somewhere new. What skills & experience do you need? - 1 - 3 years in an analytics, BI, or data science role - Strong SQL skills, you can write complex joins, window functions, CTEs without hand-holding. You know how to debug a slow query. - Working knowledge ...

... experience designing and building scalable distributed data pipelines and dimensional data models - 3+ years of experience in Python and SQL - Experience using Databricks platform and PySpark is a must. - Extensive experience of Microsoft Azure data services – Data Factory, ADLS gen2, Event Hubs, Azure SQL, Azure Key Vault ...

... scalability, standardization, and simplification.- Establish and maintain data modeling standards, naming conventions, documentation, and best practices.- Support database design, data integration, ETL/ELT processes, and data warehouse development.- Perform data analysis and validation to ensure data quality, consistency, integrity, ...