Skills
In terms of skillsets, AI vs Data Science also require different sets of skills. AI requires a deep understanding of computer science and mathematics, as well as a strong foundation in algorithms and data structures. Data Science requires a strong background in mathematics and statistics, as well as an understanding of coding languages such as Python and R.
Salaries
When it comes to salaries, AI vs Data Science salaries are both very competitive. According to Glassdoor, the average salary for an AI Engineer is $120,119, while the average salary for a Data Scientist is $121,163. These figures are higher than the average salary of software engineers, which is around $107,000. AI and data science professionals in the UK can expect to earn an average of £69,000 per year.
Observations
The job market for AI vs data science professionals is expected to remain strong between 2021 and 2023. The big ask for professionals in these disciplines is high, and salaries are competitive. With the right skills and expertise, individuals can look forward to a bright future in the field of Career in AI vs data science.
How to start a career in Artificial Intelligence vs Data Science?
1. Learn the Basics: Begin by acquiring a basic understanding of AI and data science. This includes topics such as machine learning, statistics, data manipulation, and programming. You can learn these topics online, through MOOCs, or in a traditional classroom.
2. Get Certified: Once you’ve acquired the necessary knowledge, consider getting certified in AI and data science. Certification programs provide a way to validate your knowledge and demonstrate your commitment to the field.
3. Build a Portfolio: Build a portfolio of projects to showcase your skills. This could include creating a website, writing blog posts, or contributing to open-source projects.
4. Network: Networking is a great way to make connections and learn about open positions. Attend conferences and join online networks such as LinkedIn.
5. Find a Job: Once you’ve built up your skills and network, start applying for jobs. Look for roles that match your skills and interests. Many AI and data science jobs are remote, so you don’t have to limit yourself to local opportunities.
If you’re thinking about learning Data Science, check out our latest blog on 5 Insights into the Data Science Market for helpful tips!
Conclusion
The answer to “Which is better: a career in AI vs a career in Data Science?” Ultimately, the decision comes down to individual preference. Both offer the potential to work on exciting projects and develop groundbreaking technologies. It is important to measure the pros and cons of each field to determine which is the best fit for you.