Latest Uber Hiring 2025 | Role: Data Scientist I – FinTech (Hyderabad)

Are you ready to take your data science career to the next level? Uber is currently hiring for the position of Data Scientist I – FinTech, and it’s a golden opportunity for those who are passionate about working with large-scale financial data, building robust machine learning models, and driving business decisions through data-driven insights.

Based in Hyderabad, India, this role offers a unique chance to contribute to the core of Uber’s financial operations and be part of a world-class team influencing global financial strategies.

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About the Role

As a Data Scientist in the FinTech division, you will be an integral part of Uber’s Finance Data Store (FDS) team. This team is at the heart of Uber’s financial ecosystem and plays a critical role in enabling financial transparency, building automation frameworks, and developing scalable data pipelines that support real-time decision-making.

This role is far beyond standard data analysis. You will work on complex financial forecasting, anomaly detection, and automated reporting systems that directly impact Uber’s ability to make informed business decisions on a global scale.

Key Responsibilities

• Build and maintain scalable financial models for forecasting and performance tracking.
• Develop machine learning algorithms for anomaly detection, fraud analysis, and transaction monitoring.
• Collaborate with stakeholders across Finance, Engineering, Product, and Operations to understand requirements and design data-driven solutions.
• Develop automated pipelines for ingesting, processing, and storing financial data at scale.
• Help drive Uber’s financial strategy through actionable insights from complex datasets.
• Ensure the accuracy, scalability, and reliability of all financial datasets managed by the FinTech team.

Educational Qualifications

This role is open to graduates from any discipline, but candidates with a background in Computer Science, Statistics, Mathematics, Data Science, Economics, or related fields will have a distinct advantage.

Additionally, candidates should demonstrate:

• A strong understanding of statistical analysis and machine learning algorithms.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with data visualization tools like Tableau, Power BI, or similar is a plus.
• Familiarity with cloud platforms (AWS, GCP) and big data tools (Spark, Hadoop) is desirable.

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Experience Level

• This is an entry-level to early career role.
• Candidates with 0–2 years of relevant experience in data analysis, data science, or financial analytics are encouraged to apply.
• Internships or academic projects related to data modeling, forecasting, or ML are highly valued.

Expected Salary

While Uber has not officially disclosed the salary for this role, based on market standards and similar roles in the industry, the expected salary range for a Data Scientist I in Hyderabad is approximately:

• ₹12 LPA – ₹20 LPA, depending on the candidate’s qualifications, technical skills, and interview performance.

This compensation may also include annual bonuses, stock options (RSUs), and performance-based incentives, in line with Uber’s standard benefits for technical roles.

Application Process

Candidates can apply via the official Uber Careers page. The process typically involves:

1. Resume Submission: Tailor your CV to showcase relevant data science and analytical experience. Highlight projects, tools, and results.
2. Online Assessment (if applicable): A test that evaluates your logical reasoning, data analysis capabilities, and basic programming skills.
3. Technical Interviews: These rounds assess problem-solving, statistical reasoning, Python/SQL proficiency, and understanding of financial data modeling.
4. Behavioral Interview: A final round focusing on team collaboration, communication, stakeholder management, and cultural fit.

Candidates are advised to thoroughly prepare for real-world case studies, SQL queries, and algorithm design questions.

Benefits of Working at Uber

Working at Uber comes with a suite of impressive benefits:

• Health & Wellness: Comprehensive medical, dental, and vision coverage.
• Learning Opportunities: Access to learning platforms, internal tech talks, and sponsored certifications.
• Equity and Bonus Programs: Performance-driven rewards including annual bonuses and stock options.
• Hybrid Work Model: Flexibility to work from home or office based on project needs.
• Employee Assistance Programs: Mental health support, wellness activities, and stress management sessions.
• Global Exposure: Opportunities to work on cross-functional projects with international teams.

Why This Role Stands Out

This isn’t your average data science job. It’s an opportunity to influence Uber’s global financial operations using your skills in data analysis and machine learning. You’ll work on high-impact problems that shape how Uber manages billions in transactions. The scale, complexity, and innovation involved make this one of the most strategic roles available for budding data professionals.

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Important Note

This post is for informational purposes only. Salary figures are approximate estimates based on market standards. Candidates should refer to the official Uber job listing and verify all application details directly with the company.

Conclusion

If you’re a recent graduate or early-career data enthusiast looking to solve real-world financial challenges using technology, Uber’s Data Scientist I role in FinTech offers a rare and rewarding platform. Apply now and take a bold step into a high-impact, data-driven career at one of the world’s most innovative companies.