Data Scientist

Yes, with additional schooling and a Diploma in AI & ML you can work as a data scientist. You will gain a foundational understanding of AI, machine learning, and data analysis with a certificate. Pursuing additional coursework or certifications in data science, mathematics or statistics which are necessary for deep domain understanding, is advised to improve your chances. You can develop a good portfolio by gaining practical experience through projects internships and participation in open source AI/ML groups.
Yes if you keep improving your skills a Diploma in AI & ML can be a great place to start your career in data science. Although the Diploma gives you a strong foundation in machine learning, you'll also need to study more about statistics and programming (such as R or Python).

Because more and more sectors are depending on data-driven decision-making the field of Data Science in India is predicted to expand dramatically over the next five years. The need for qualified data scientists is expected to increase by 2028 driven by industries including finance, e-commerce, IT and healthcare.

Opportunities for Employment: India is set to emerge as a major centre for analytics worldwide. Data scientists, machine learning engineers and artificial intelligence specialists will continue to be in great demand.
Pay Trends: Experienced professionals make up to INR 25 LPA while entry-level workers make between INR 8 and 12 LPA
Industry Adoption: New fields like fintech driverless cars and healthcare analytics will expand prospects.
Maintaining relevance in this ever-evolving industry will need ongoing skill development in Python, R, AI and cloud technologies

Yes, graduates of Bioinformatics courses work as Data Scientists. Both of these disciplines require a similar set of talents, therefore Bioinformatics courses graduates with the above-mentioned skill set can work in Data Science roles in the industry if they can adapt their mindsets to the subject. 

Candidates are left with the majority of the Data Science skill set plus a few more if they take the domain-specific requirements out of the Bioinformatics skill set. Most likely, those who transition from bioinformatics to Data Science will need to adjust to their employer's data organisation and distribution environment.

People from Data Science should be able to function in Bioinformatics professions after gaining some domain-specific skills and knowledge if the argument of core skill similarity is valid.