Data Scientist

Ideal for professionals who have strong analytical fundamentals and are eager to work on challenging predictive modeling problems.

Lead Data Scientist (5-8 Years)

For experienced practitioners who can independently solve business problems, drive research, build robust predictive models, and mentor junior team members.

What we’re looking for

Strong Python programming skills (non-negotiable)

PySpark experience (preferred)

Excellent understanding of predictive modeling

Hands-on expertise in:

• Classification
• Regression
• Time-Series Forecasting

Strong grounding in Statistics, Mathematics, and Machine Learning

A research mindset-you enjoy experimenting, validating hypotheses, and improving models

Genuine curiosity and a passion for solving difficult business problems

We care far more about your ability than your pedigree.

Whether you’ve worked in a startup, product company, consulting firm, research lab, or a large enterprise is secondary.

Whether your degree is in Engineering, Statistics, Mathematics, Economics, Operations Research, or another quantitative discipline is also secondary.

Company Description Antal International is a global executive search organization with over 130 offices in more than 30 countries, supporting clients and candidates across 75+ countries. The company’s strength lies in its specialized recruiters and experienced industry professionals, delivering recruitment solutions in sectors such as banking, technology, engineering, finance, FMCG, pharmaceuticals, and more. With three decades of recruitment expertise, Antal International combines global reach with local, culturally aligned consultants to provide tailored talent solutions. The organization continues to expand its network of experts and franchise owners, offering diverse international career opportunities. Applicants benefit from Antal’s strong global presence, collaborative methodology, and commitment to long-term talent partnerships.

You’ll join a small, exceptionally bright team of quantitative modelers and AI researchers building production-grade predictive models for leading enterprises. The team’s leadership has a deep academic foundation in statistical modeling, and the culture values first-principles thinking over hype.

If you enjoy solving difficult business problems with mathematics rather than buzzwords, we’d love to talk.