Data Science encompasses many breakthrough tech concepts like Artificial Intelligence, Internet of Things, Deep Learning to name a few. With its progress and technological developments, data science’s impact has increased drastically. As more companies and organizations are joining the Data Science bandwagon, the demand for qualified and skilled Data Science, AI, and ML experts is escalating rapidly. While this is a promising opportunity for millions of Data Science aspirants and professionals, bagging a Data Science job role isn’t a cakewalk.

Career Opportunities in AI and Data Science

  • Data Science and Artificial Intelligence are the two most important technologies in the world today. AI has been a sound career choice for a while now because of the growing adoption of the technology across industries and the need for trained professionals to do the jobs created by this growth. Data Science is the current reigning technology that has conquered industries around the world.
  • This a result of the contribution by the massive explosion in data and the growing need of the industries to rely on data to create better products. Most of the business decisions today are based on insights drawn from analyzing data, this is why a Data Scientist is crucial in today’s world. Data scientists are professionals, who source, gather and analyze huge sets of data. They work on modeling and processing structured and unstructured data, and also work on interpreting the findings into actionable plans for stakeholders.

Job roles in AI and Data Science

AI Expert develops intelligent software and systems based on how human minds think, learn, decide, and solve a problem. It enables machines to perform human-like functions by learning through experience. Since almost all kinds of organizations today are generating exponential amounts of data around the world, it becomes difficult to monitor and store this data. Data scientists help companies interpret and manage data and solve complex problems. These jobs not only offer great salaries but also a lot of opportunity for growth.

  • Machine Learning Engineer
  • Business Intelligence Developer
  • Research Scientist
  • Big Data Engineer/Architect
  • Data Analyst
  • Data Engineers
  • Database Administrator
  • Data Scientist
  • Data Architect
  • Statistician
  • Business Analyst
  • Data and Analytics Manager