Data Engineer

Your Team Responsibilities

Your Key Responsibilities

AI/ML Solution Development

Develop AI/ML solutions that solve complex business and workplace challenges.

Design, train, and validate machine learning models tailored to WPT use cases (e.g., IT service automation, anomaly detection, knowledge management).

Use generative AI and large language models (LLMs) to enhance automation, virtual assistants, and self-service solutions.

Build scalable and cost-effective solutions capable of handling enterprise workloads.

Automation & Quality Enhancements

Design workflows where AI agents can reason over tasks, call APIs, and coordinate across IT systems to resolve incidents end-to-end.

Create AI and data driven solutions to ensure accuracy, efficiency, and quality in workplace processes.

Develop automated workflows for ITSM and service desk scenarios, reducing manual interventions.

Implement anomaly detection and monitoring to proactively identify issues in workplace systems.

Continuously improve models and automation workflows based on feedback and new insights.

Technology & Platform Integration:

Experience embedding AI-driven automation into ITSM platforms (e.g., ServiceNow, Nexthink) to reduce manual interventions and improve employee experience.

Ability to design agent workflows that interface with enterprise systems and workplace apps.

Explore and adopt emerging technologies relevant to workplace automation and digital employee experience.

Your skills and experience that will help you excel

Artificial Intelligence & Machine Learning

Strong understanding of machine learning algorithms, deep learning, NLP, and reinforcement learning.

Experience fine-tuning and deploying LLMs (e.g., GPT, BERT, Gemini) for enterprise IT automation.

Ability to integrate PyTorch/TensorFlow/Keras models into production systems with monitoring and performance optimization

Programming & Development

Python: Demonstrate ability to build and deploy production-grade Python applications with proficiency in model development, data manipulation, and automation using libraries such as NumPy, pandas, scikit-learn, matplotlib, and PyTorch

Data Engineering & Cloud Solutions

Hands-on experience deploying AI workloads on Azure ML or GCP Vertex AI, including containerization, orchestration (Kubernetes), and monitoring

Knowledge of data pipelines, warehousing, and cloud storage solutions.

Familiarity with Kubernetes, microservices, and event-driven architecture.

Preferred Qualifications (Good to Have)

Experience in .NET development for building and integrating workplace applications.

Familiarity with SQL databases and database optimization.

Hands-on exposure to ITSM workflows and process automation in ServiceNow or similar platforms.

About MSCI

What we offer you

• Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.

• Flexible working arrangements, advanced technology, and collaborative workspaces.

• A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.

• A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.

• Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, AI Learning Center , LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.

• Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.

• We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum.

At MSCI we are passionate about what we do, and we are inspired by our vision – to power better decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry.

MSCI strengthens global markets by connecting participants across the financial ecosystem with a common language. Our research-based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation. We serve asset managers and owners, private-market sponsors and investors, hedge funds, wealth managers, banks, insurers and corporates.

MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries.

To all recruitment agencies

MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes.

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