The demand for data-driven decision-making is at an all-time high. Owing to this growth in data science, the need for data scientists is now more than ever across various industries. Therefore, by 2025, top conglomerates will be hiring data scientists to compete in the ever-growing field of AI and data science.
According to the US Bureau of Labor Statistics, employment in computer and information research science, which includes data scientists, is projected to grow 15% from 2022 to 2032, much faster than the average for all occupations. In 2025, a trend of several top-notch companies will be hiring fresh graduates as well as experienced practitioners with diverse portfolios. Here is a tentative list of top MNCs that will be hiring data scientists in 2025.
With as many as 50,000 data scientists on Amazon’s payroll, spaces are always open at the company to ensure that its recommendation systems and logistics are better, and sharper with time. Data engineers and scientists ensure more optimisation with the latest data science and machine learning technologies. The fields on offer with the company include machine learning, AI and big data analytics, and require professionals with experience in Python, SQL, and cloud technologies. Competitive salaries and a bag full of perks await a career in Amazon.
AI and machine learning research still lie predominantly at Google’s doorstep. Hiring data scientists to work on projects like search algorithms, Google Cloud, and autonomous vehicles are some prime examples of Goole’s innate workings. These positions usually require some advanced degrees and strong coding skills. It's a good thing for data scientists as Google is known to offer a great collaborative work environment, lots of cutting-edge projects, and great benefits.
Oftentimes, Microsoft gets data scientists from its various departments like Azure, Office 365 and Xbox, to master any type of things floating around Artificial Intelligence, cloud computing and business intelligence. But by 2025, the demand for AI-leveraged models will be high hence, new job openings are on the horizon. Working at Microsoft allows one to explore the company’s big data problems and develop innovative solutions while it values candidates who have excellent analytical and programming skills and understand machine learning algorithms.
Data scientists are recruited by IBM to work on Watson AI projects, cloud computing projects and business intelligence projects. Machine learning, natural language processing, cognitive computing strong analytical skills and big data technologies experience is a must requirements for data scientists. Working on groundbreaking projects and with global teams, IBM provides you with a great opportunity.
According to Deloitte's official website, Deloitte is a global professional services leader representing more than 175,000 people in more than 20 countries, committed to providing our clients with excellent quality in all that it undertakes. The deep belief in data science targets and an embracing data science mindset stems from the fact that they started with a data load plan and wanted to encourage realistic data-based decisions. Senior data scientist, data science consultant and junior data scientist are all positions available.
Data scientists are working with PricewaterhouseCoopers (PwC) to support its consulting and auditing services in different industries. The company makes use of data analytics for business insights, risk assessment as well as process optimization and places a high value on candidates with good analytical skills, industry knowledge and expertise in translating complex data into actionable recommendations.
JPMorgan Chase is likely to hire data scientists to increase its financial services, risk management and fraud detection. The company has filled in quantitative research, machine learning and predictive modelling roles, and values strong math background and programming skills with the individual. It is possible to work with large-scale financial data and address the needs of the banking industry with innovative solutions while being an employee of JPMorgan Chase.
Founded in 2018, Arya.AI is an AI startup building deep-learning solutions for different industries. The company brings in data scientists to build and advance the use of AI for applications ranging from computer vision to natural language processing, with a bias towards deep learning frameworks and strong problem-solving capabilities. Arya.AI provides the opportunity to work with exciting AI projects and to help shape the future of artificial intelligence.
Beyond these established companies, several industries are experiencing significant growth in data science hiring:
Healthcare and Pharmaceuticals: Data scientists are necessary as healthcare providers and pharmaceutical companies are accumulating unprecedented rates of medical data. Moreover, investors alike are willing to pour money into our skills to organize and analyze patient information, research data, and clinical trial results. According to a recent study, 20+ per cent of all data science hires in 2025 do not have any other field except healthcare.
Finance and Banking: Data science has been and continues to be extremely effective across the finance and banking sector including its use in credit risk assessment. Data science roles where finance will make up around 18% in 2025.
Retail and E-Commerce: Data is becoming an increasingly essential part of the retail and e-commerce landscape, with data used increasingly to maximize inventory management, customer service, and marketing efforts. By 2025, over 25 per cent growth in the data science teams is expected for retail.
Telecommunications: Telecom companies are constantly processing large amounts of data every single day, and data scientists are at the forefront of network operations and customer retention. Hiring data science in this industry is expected to grow by 15% during that period.
Manufacturing and Industrial Automation: This entails adopting industry 4.0, IoT and automation technologies. For example, predictive maintenance, quality control and process optimization roles in manufacturing will grow by approximately 22%, due in part to the use of data science.