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AI and data science jobs are already seen as a rewarding career path for professionals

Artificial intelligence is a promising technology, that has made significant changes in the 21st century. Starting from self-driving cars and robotic assistants to automated disease diagnosis and drug discovery, the stronghold of artificial intelligence is no joke. Along with artificial intelligence, data science has also shifted the way we live and work. With the demand for data science and artificial intelligence spiralling, the job market is opening its door to AI and data science jobs. The tech sphere has ensured that artificial intelligence jobs and data science jobs provide limitless opportunities for professionals to explore cutting edge solutions. According to a Gartner report, Artificial intelligence jobs rose to over 2.3 million in 2020. While the competition in the industry is heating up, AI and Data science jobs are already seen as the rewarding career path. Analytics Insight has listed top AI and Data science jobs that aspirants should apply for today.


Data Scientist: Artificial Intelligence at IBM–

Location: Bengaluru, Karnataka, India

About the company: IBM, also known as International Business Machines Corporation is a leading American computer manufacturer. The company has developed a thoughtful, comprehensive approach to corporate citizenship that they believe aligns with IBM’s values and maximized the impact they can make as a global enterprise.

Roles and responsibilities: As a data scientist at IBM, the candidate is expected to develop, maintain, and evaluate AI solutions. He/she will be involved in the design of data solutions using artificial intelligence-based technologies like H2O, Tensorflow. They are responsible for designing algorithms and implementation including loading from disparate datasets, pre-processing using Hive and Pig. The candidate should scope and deliver solutions with the ability to design solutions independently based on high-level architecture. They should also maintain the production systems like Kafta, Hadoop, Cassandra, and Elasticsearch.


  • The candidate should have a minimum of 4 years of experience in the IT industry.
  • They should be technologically wise in Python programming and have proficient skills in Watson NLP.
  • He/she should know to develop and embed AI solutions in Intelligent Workflow.
  • The candidate should have working knowledge in one NoSQL database like MongoDB, Cassandra, HBase, or Couchbase.
  • They should have hands-on experience in big data architectures.

Senior Analyst- Artificial Intelligence Innovation at Accenture–

Location: Bengaluru, Karnataka, India

About the company: Accenture is a global professional services company that provides a range of services and solutions in strategy, consulting, digital, technology, and operations. Combining deep experience and specialized skills across 40 industries and business functions, Accenture works at the intersection of business and technology to help clients improve performance and create sustainable value for stakeholders.

Roles and responsibilities: As a senior analyst- artificial intelligence innovation, the candidate will be aligned with Accenture’s insights and intelligence vertical and help them generate insights by leveraging the latest artificial intelligence and analytics techniques to deliver value to its clients. Generally, the artificial intelligence innovation team at Accenture is responsible for the creation, deployment, and managing of the operations of projects. In this role, the candidate will need to analyze and solve increasingly complex problems. He/she should frequently interact with their peers at Accenture and clients to manage the development well.


  • The candidate is mandated to own a B.E/B.Tech/M.Tech degree.
  • He/she should have at least 5-8 years of experience in working with artificial intelligence.

Principal, Artificial Intelligence Engineer at AT&T–

Location: Azcapotzalco, Mexico City, Mexico

About the company: AT&T is a US-based telecom company and the second largest provider of mobile services. AT&T operates as a carrier of both fixed and mobile networks in the US but offers telecoms services elsewhere. The company also provides pay-TV services through DirecTV.

Roles and responsibilities: The artificial intelligence engineer at AT&T is responsible for designing and implementing artificial intelligence and machine learning packages, including data pipelines, to process complex, large-scale datasets used for modelling, data mining, and research purposes. He/she is expected to design, develop, troubleshoot, debug, and modify software for AT&T services or the management and monitoring of these service offerings. They should interact with systems engineers t realize the technical design and requirements of the service, including management, systems, and data aspects.


  • The candidate is expected to have a Bachelors degree in Computer Science, or Scientific Computing, Data Analytics, Machine Learning, Business Analyst nanodegree, or any equivalent experience.
  • He/she should have experience working with Java, Python, SQL, Azure, etc.

Data Engineer at LinkedIn–

Location: Bengaluru, Karnataka, India

About the company: LinkedIn is a social networking site designed to help people make business connections, share their experience and resumes, and find jobs. LinkedIn is free, but a subscription version called LinkedIn Premium offers additional features like online classes and seminars.

Roles and responsibilities: As a data engineer at LinkedIn, the candidate is expected to work with a team of high-performing analytics, data science professionals, and cross-functional teams to identify business opportunities, optimize product performance or go to market strategy. He/she should build data expertise and manage complex data systems for a product or a group of products. They should perform all the necessary data transformation tasks to serve products that empower data-driven decision-making. The candidate should establish efficient design and programming patterns for engineers as well as for non-technical partners.


  • The candidate is mandated to have Bachelors in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
  • He/she should have 3+ years of experience working with a large number of datasets.
  • They should have hands-on experience in SQL and relational databases.
  • The candidate should have experience with distributed data systems such as Hadoop and related technologies like Spark, Presto, Pig, Hive, etc.

Data Scientist, Engineering at Google–

Location: Bengaluru, Karnataka, India

About the company: Google is an American search engine company founded in 1998. Began as an online search firm, the company now offers more than 50 internet services and products including email, online document creation, software for mobile phones and tablet computers, etc.

Roles and responsibilities: As a data scientist at Google, the candidate will evaluate and improve Google’s products. They will collaborate with a multi-disciplinary team of Engineers and Analysts on a wide range of problems, bringing analytical rigour and statistical methods to the challenges of measuring quality, improving consumer products, and understanding the behaviour of end-users, advertisers, and publishers. He/she should work with large, complex data sets and solve difficult, non-routine analysis problems by applying advanced methods. The candidate should conduct end-to-end analysis, including data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.


  • The candidate should have a Master’s degree in a quantitative discipline or equivalent practical experience.
  • He/she should have at least 2 years of experience in data analysis or a related field.
  • They should be well-versed in statistical software.

Data Engineer at Tata Consultancy Services-

Location: Melbourne, Victoria, Australia

About the company: Tata Consultancy Services, also known as TCS, is a global leader in IT services, digital, and business solutions. The company partners with clients to simplify, strengthen, and transform their business.

Roles and responsibilities: As a data engineer, the candidate should design and build production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, or Scala. He/she should design and implement data engineering, ingestion, and curation functions on AWS cloud using AWS native or custom programming.


  • The candidate is expected to have 4+ years of experience working with AWS cloud, Big data technologies, AWS Cloud Data Services like RedShift, Lambda, Glue, etc.
  • He/she should have the experience to build, design, and operationalize enterprise data solutions and applications using one or more AWS data and analytics services.
  • They should have experience in ETL Tools, data modelling, data analysis, Python, Shell scripting, ETL Testing, Splunk tools, etc.

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