making projections and predictions data analysts are known as storytellers because they peer through massive amounts of data to identify common threads patterns and anomalies that are not visible to others from interpreting trends with the help of historical data to making databased summary reports and developing data mining systems the role of a data analyst is broadbased and includes interfacing with internal and external stakeholders machine learning engineer machine learning and artificial intelligence are significant in their use for data science with companies realising the importance of adopting technologies such as machine learning to anticipate customer needs the demand for professionals is to rise machine learning entails a blend of two roles namely data scientists and software engineers typically a machine learning engineer helps to combine the complex analytical models created by data scientists with the skills of coders and programmers who design software systems these spheres combine to create a synergy to help businesses leverage the full potential of ai and ml machine learning engineers work closely with data scientists to make sure that the models being used to interpret vast amounts of data in realtime can indeed generate the most accurate resultsbusiness intelligence developer bi developers are essentially engineers for businesses who help interpret and display data for the key decisionmakers in a company they help with the compilation of data and work to simplify valuable information for a company a core function of their job is to create and maintain company software tools used to guide business strategies since bi developers also analyse complex databases learners who want to make a career in this profession should have strong data mining skills in addition the knowledge of data warehouse design and structured query language sql a standardised programming language used to update and manage databases is highly desirablestatistician the role of a statistician varies depending on the industry or kind of company they are employed however they service companies to collect and interpret large amounts of data based on the data statisticians help to point out current and emergent trends and even discover errors or discrepancies for company management to rectify statisticians can also be an advisor and share suggestions about organisational strategy hence to succeed as a statistician professionals need to exhibit effective communication technical analytical and leadership skillsdata science incorporates a mix of theoretical and practical skills and it is vastly relevant for diversifying businesses as india aims to become a global hub for manufacturing ai and related technologies data science professionals are poised to play a pivotal role in helping businesses to generate actionable insights to provide adequate skills to its learners times professional learning tpl has introduced programmes such as data jedi it provides a comprehensive set of data science ai ml deep learning and business intelligence training to help create a futureready workforce of highly skilled professionals in india disclaimer content produced by times professional learning tpl