Data Analytics Internship Job Alerts 2026 :-
Thomson Reuters is hiring candidates for the role of Intern for Data and Analytics for the Bengaluru / Hyderabad locations. The complete details about Data Analytics Internship Job Alerts 2026 are as follows.
| Company Name:- | Thomson Reuters |
| Required Education: | Currently pursuing a MTECH/BTECH degree with an expected completion in 2026/2027 in a technical field such as Data and Analytics, Data Science. |
| Required Skills: | Proficient in programming languages such as Python/SQL. Familiarity with data visualization tools (e.g., Tableau, Power BI). |
| Job Category: | Data and Analytics |
| Job ID: | JREQ198006 |
Qualifications
About You:
- Currently pursuing a MTECH/BTECH degree with an expected completion in 2026/2027 in a technical field such as Data and Analytics, Data Science.
- Proficient in programming languages such as Python/SQL.
- Familiarity with data visualization tools (e.g., Tableau, Power BI).
- Analytical Thinking: Strong analytical skills to solve problems and make data-driven decisions.
- Attention to Detail: Precision in analyzing data and ensuring accuracy in reporting.
- Communication Skills: Ability to communicate complex data insights in a clear and concise manner to both technical and non-technical stakeholders.
- Teamwork: Ability to work collaboratively within a team environment.
- Curiosity and Eagerness to Learn: Willingness to learn new tools and techniques in the field of data and analytics.
About the role:
- Hands-On Experience: Provide real-time projects that allow interns to apply their academic knowledge and gain practical skills in data and analytics.
- Mentorship and Guidance: Pair interns with experienced mentors who can offer guidance, support, and insights into the field of data analytics.
- Skill Development: Offer training sessions, workshops, and access to online courses to help interns enhance their technical and analytical skills.
- Exposure to Tools and Technologies: Give interns the opportunity to work with industry-standard tools and technologies, such as Python, R, Fabric, SQL, and data visualization software.
- Collaborative Environment: Foster a supportive and inclusive workplace where interns can collaborate with team members and contribute ideas.
- Feedback and Evaluation: Offer regular feedback and performance evaluations to help interns understand their strengths and areas for improvement.
Job Summary:
- Data Engineering: Gather and integrate data from multiple sources, performing data cleaning and transformation to ensure accuracy, reliability, and readiness for analysis and AI model training.
- Data Analysis & AI-Driven Insights: Analyze datasets using statistical methods and AI tools to uncover trends, patterns, and predictive insights that inform strategic business decisions.
- Reporting and Visualization: Design and develop interactive reports, dashboards, and data visualizations that effectively communicate findings and AI-generated insights to stakeholders.
- AI & Machine Learning Development: Support the development, testing, and optimization of machine learning models and AI algorithms to address specific business challenges and opportunities.
- Data Governance & Stewardship: Collaborate with data stewards to maintain data quality, support governance initiatives, and ensure data integrity across analytics and AI systems.
- Data Policy & Standards: Assist in developing and implementing data governance policies, standards, and procedures that support both traditional analytics and AI/ML initiatives.
Skills Required
- Data Quality & Validation: Monitor and assess data quality across systems, implementing validation checks to ensure consistency and reliability for analytics and AI applications.
- Research & Innovation: Explore emerging data technologies, AI tools, and best practices to enhance analytical capabilities and drive innovation in data-driven solutions.
- Cross-Functional Collaboration: Partner with team members and stakeholders across departments to understand data requirements and deliver support for analytics and AI-powered projects.
- Documentation & Knowledge Management: Document processes, methodologies, model performance, and insights to ensure knowledge retention and facilitate team collaboration.
- Continuous Learning: Actively develop skills in data analysis, AI/ML techniques, and industry trends through training, self-study, and hands-on project experience.
Data Analytics Internship Job Alerts 2026 Application Process:-
Apply In Below Link
Note:– Only shortlisted candidates will receive the call letter for further rounds
