Data Engineer

MSCI Services

Posted: 5 months ago
Openings: 10
Applicants: 0

Job Description

We are seeking a highly driven AI & Data Science Senior Associate with 3 4 years of hands-on industry experience to join our team. The ideal candidate has strong analytical and programming skills, is well-versed in modern AI/ML techniques, and can independently execute end-to-end data-driven solutions. You will work closely with cross-functional teams to design, develop, and deploy AI models, data workflows, and intelligent automation solutions that drive business impact.

Your Key Responsibilities

Develop, train, evaluate, and optimize machine learning and deep learning models for various business use cases.
Build scalable data pipelines and workflows using Python and cloud services.
Perform exploratory data analysis (EDA), feature engineering, and model validation.
Collaborate with data engineers, product managers, and domain experts to understand business problems and identify AI-driven solutions.
Deploy and operationalize models using cloud platforms (AWS, Azure, or GCP).
Write clean, efficient, and well-documented Python code following best practices.
Create dashboards, reports, or visualizations to communicate insights effectively.
Stay up to date with emerging AI technologies, tools, and frameworks.

Your skills and experience that will help you excel

4-7 years of experience in AI, data science, or applied machine learning roles.
Strong proficiency in Python, including libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch.
Solid understanding of machine learning algorithms, statistical modeling, and data structures.
Experience with at least one cloud platform (AWS/Azure/GCP) for model deployment or data workflows.
Hands-on experience building and maintaining data pipelines.
Strong SQL knowledge and familiarity with relational or NoSQL databases.
Ability to translate complex technical concepts into clear business insights.
Excellent problem-solving, communication, and collaboration skills.

Preferred Skills (Nice to Have)
Experience with MLOps tools (Docker, Kubernetes, CI/CD, MLflow, SageMaker, Vertex AI, Databricks).
Familiarity with big data ecosystems (Spark, Hadoop).
Experience with LLMs, generative AI, prompt engineering, or model fine-tuning.
Knowledge of APIs, microservices, and cloud-native development.
Prior experience in financial analytics or risk/data domains (if applicable).

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.