If you’re looking for a high-impact role in Data Science, AI, and Machine Learning, this opportunity from MetLife is worth exploring. The company is hiring for the SDL Operations role, which focuses on advanced analytics, predictive modeling, and Generative AI.
This position is ideal for candidates who have strong foundations in statistics, machine learning, and programming, and want to work on real-world business problems in a global financial services environment.
About the Company
MetLife is one of the world’s leading financial services companies, providing insurance, asset management, and employee benefits across more than 40 markets.
Recognized among Fortune’s World’s Most Admired Companies, MetLife offers a strong global presence, innovation-driven culture, and opportunities to work on enterprise-level data and AI systems.
Role Overview
As part of the SDL Operations team, you will work on building advanced analytics and machine learning solutions that drive business insights and decision-making.
The role involves working with large datasets, developing predictive models, and implementing AI solutions including NLP and Generative AI applications.
Key Responsibilities
- Apply advanced statistical and mathematical techniques (linear algebra, optimization)
- Perform hypothesis testing, feature engineering, and model validation
- Build machine learning models using Python, R, and SQL
- Develop predictive models such as churn prediction and lead scoring
- Work with NLP tools like spaCy and Transformers
- Build Generative AI solutions using LLMs and prompt engineering
- Create dashboards using Power BI for business insights
- Ensure compliance with GDPR and data policies
- Collaborate with stakeholders and communicate insights effectively
- Mentor team members and lead technical discussions
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Who Can Apply (Eligibility)
| Criteria | Details |
|---|---|
| Education | Bachelor’s/Master’s in relevant fields (CS, Data Science, etc.) |
| Experience | Typically 1–3 years (entry-level with strong skills may apply) |
| Skills | Strong AI/ML and programming background |
| Location | Noida |
Salary (Market Estimate) 💰
For the SDL Operations role at MetLife, the expected salary range is:
👉 ₹10 LPA – ₹20 LPA (Estimated)
This estimate is based on similar AI/ML roles in large financial services companies. Actual salary may vary depending on experience and technical expertise.
Required Skills
- Strong knowledge of statistics and mathematics
- Programming: Python, R, SQL
- Machine Learning frameworks: TensorFlow, PyTorch, Scikit-learn
- NLP tools: spaCy, Transformers
- Experience with Generative AI and LLMs
- Data visualization tools like Power BI
- Strong analytical and problem-solving skills
What You’ll Gain
- Hands-on experience with advanced AI and ML technologies
- Exposure to real-world financial datasets and business problems
- Opportunity to work on Generative AI and NLP projects
- Experience in building production-grade ML systems
- Collaboration with global teams and stakeholders
- Leadership and mentoring opportunities
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Work Environment
- Enterprise-level projects with global impact
- Collaborative and innovation-driven culture
- Opportunity to work with experienced professionals
- Focus on continuous learning and development
How to Apply
To increase your chances of selection:
- Build strong ML/AI projects (NLP, prediction models, dashboards)
- Showcase work on GitHub or portfolio
- Practice statistics, ML algorithms, and SQL queries
- Learn about LLMs and prompt engineering
- Prepare for case studies and technical interviews
👉 Apply by clicking the button below and submitting your application.
Final Thoughts
The MetLife SDL – Operations role is an excellent opportunity for candidates looking to build a career in Data Science and AI within a global organization. With exposure to advanced technologies and real business impact, this role offers both learning and career growth.
If you have strong technical skills and want to work on cutting-edge AI solutions, this is definitely a role worth applying for.
Disclaimer
This job information is collected from official and publicly available sources. We do not charge any fees for job updates and do not guarantee recruitment. Please verify details from the official company website before applying. We are not responsible for any loss arising from reliance on this information.
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