42  

Jobs In

HCL

Data Scientist

HCL
(954 Reviews)

  • 3-5 Yrs
  • Not disclosed
  • Remote
  • Data Science
REGULAR
Mount Talent Consulting
  • 3-5 Yrs
  • Not disclosed
  • Remote
  • MS Office
  • |
  • Documentation
  • |
  • Business analytics
REGULAR
Accenture
  • 5-10 Yrs
  • Not disclosed
  • Remote
  • artificial intelligence
  • |
  • Machine learning
  • |
  • C++
  • |
  • SQL
REGULAR
IBM

AI/ML Engineer

IBM
(309 Reviews)

  • 2-5 Yrs
  • Not disclosed
  • Remote
  • Python
  • |
  • Machine learning
  • |
  • Java
REGULAR
Capgemini
  • 2-4 Yrs
  • Not disclosed
  • Remote
  • JIRA
  • |
  • GCP
  • |
  • Business Process modelling
  • |
  • conceptualization
REGULAR
Mount Talent Consulting
  • 4-9 Yrs
  • Not disclosed
  • Remote
  • ETL
  • |
  • Predictive Analysis
  • |
  • Machine learning
  • |
  • Model Development
REGULAR
Wipro
  • 3-7 Yrs
  • Not disclosed
  • Remote
  • Data visualization
  • |
  • Business intelligence
  • |
  • Power BI
  • |
  • Good Communication
REGULAR
Capgemini
  • 3-5 Yrs
  • Not disclosed
  • Remote
  • Machine learning
  • |
  • Data Analysis
  • |
  • artificial intelligence
  • |
  • Algorithms
REGULAR
Capgemini
  • 2-6 Yrs
  • Not disclosed
  • Remote
  • confluence
  • |
  • GCP
  • |
  • Data Analysis
  • |
  • Data modeling
REGULAR
Capgemini
  • 2-5 Yrs
  • Not disclosed
  • Remote
  • Project Management
  • |
  • conceptualization
  • |
  • Conflict Resolution
  • |
  • Data Analysis
REGULAR
IBM
  • 5-7 Yrs
  • Not disclosed
  • Remote
  • SQL
  • |
  • Deep Learning
  • |
  • Spark
  • |
  • Power BI
REGULAR
IBM
  • 5-7 Yrs
  • Not disclosed
  • Remote
  • Algorithm
  • |
  • SQL
  • |
  • Spark
  • |
  • Python
REGULAR
Info Edge India  Ltd
  • 2-6 Yrs
  • Not disclosed
  • Remote
  • Power Electronics Engineer
  • |
  • Tableau
  • |
  • SQL
  • |
  • Python
  • |
  • Business analytics
REGULAR
Capgemini
  • 3-7 Yrs
  • Not disclosed
  • Remote
  • confluence
  • |
  • GCP
  • |
  • Agile
  • |
  • Data Analysis
  • |
  • Business Process modelling
  • Mentor
REGULAR
Genpact
  • 3-8 Yrs
  • Not disclosed
  • Remote
  • SAS
  • |
  • credit risk
  • |
  • Model Development
  • |
  • Python
  • |
  • Communication Skills
REGULAR
IBM
  • 3-5 Yrs
  • Not disclosed
  • Remote
  • Data Analysis
  • |
  • Finance
  • |
  • Agile Methodology
  • |
  • Python
  • |
  • Data visualization
REGULAR
IBM
  • 2-5 Yrs
  • Not disclosed
  • Remote
  • Data Engineering
  • |
  • Agile
  • |
  • Spark and Scala
  • |
  • Good Communication
REGULAR
Accenture
  • 2-4 Yrs
  • Not disclosed
  • Remote
  • MS Office
  • |
  • ERP
  • |
  • Financial Accounting
  • |
  • Communication Skills
REGULAR
IBM
  • 2-5 Yrs
  • Not disclosed
  • Remote
  • Bigquery
  • |
  • workflow
  • |
  • Python
  • |
  • SQL
FEATURED
Genpact
  • 2-4 Yrs
  • Not disclosed
  • Remote
  • Power BI
  • |
  • SQL
  • |
  • Communication Skills
FEATURED
Genpact
  • 1-3 Yrs
  • Not disclosed
  • Remote
  • Risk Management
  • |
  • Operations
  • |
  • Banking
FEATURED
Accenture
  • 3-5 Yrs
  • Not disclosed
  • Remote
  • Machine learning
  • |
  • artificial intelligence
  • |
  • Tableau
  • |
  • Power BI
FEATURED
Genpact
  • 2-5 Yrs
  • Not disclosed
  • Remote
  • Java
  • |
  • Python
  • |
  • Google cloud Platform
  • |
  • Monitoring
  • |
  • Data Engineering
FEATURED
Mount Talent Consulting
  • 3-6 Yrs
  • Not disclosed
  • Remote
  • C++
  • |
  • Python
  • |
  • Azure
  • |
  • Good Communication
REGULAR
Mount Talent Consulting
  • 4-6 Yrs
  • Not disclosed
  • Remote
  • MS SQL
  • |
  • Basic Sql
  • |
  • Oracles
  • |
  • Power BI
  • |
  • Testing
REGULAR

Jobs in Data Science and Analytics

The jobs of data science analyst, data analyst data scientist analyst, and data scientist have emerged in the present knowledge-based society that depends on data analysis. This is a perfect profession for those people who love numbers and ideas. The data science and analytics profession is very promising.

The Rise of Data Science and Analytics

The requirement for professional staffing in data science and analytics-related positions has rapidly grown in the recent past. Businesses more and more use data to make critical decisions which has led to a high demand for data science analysts and data scientists.

Understanding the Difference of Data Analyst vs. Data Scientist

Despite the fact that those two positions are often described as equivalent, their primary responsibilities differ.

Frequently Asked Questions

For instance, programming with environments such as Python or R, statistical analysis, machine learning, and data visualization.

Yes, this is true and with extra training in programming, statistics, and machine learning many business analysts can easily get a position in data science.

Data analysts usually employ structured data to solve particular problems as opposed to data scientists who tumble with unstructured data to develop algorithms.