What applies to you
As a Data Scientist, you will play a key role in developing and deploying machine learning solutions that power our products and support business decisions. You enjoy working with data, building models, and turning ideas into real-world applications. If you're passionate about machine learning and eager to grow your skills in a production environment, this role is for you!
Whether you're a fresh graduate or someone with advanced studies or hands-on experience in analytics and machine learning, we welcome you to join us!
What you will do
- Develop and improve machine learning models to support business and product needs.
- Support deployment of machine learning models into production environments.
- Assist in building automated model training and deployment workflows.
- Collaborate with DevOps teams to integrate machine learning workflows into CI/CD pipelines.
- Maintain and enhance data pipelines and API-based services.
- Support ongoing AI product improvements and enhancements.
What you will need
- Bachelor’s degree or equivalent experience in Computer Science, Data Science, or related fields.
- 1–3 years of experience in machine learning or data analytics.
- Strong programming skills in Python.
- Familiarity with SQL and working with databases.
- Basic understanding of APIs and containerization tools such as Docker.
- Strong willingness to learn and grow in production-level machine learning practices.
- Exposure to ML flow or CI/CD pipelines.
- Experience in financial services or fraud analytics is an added advantage.
If you have many of the strengths listed above, we would love to talk to you.
What we promise
- Hybrid-mode work arrangement & Smart Casual dress code practice
- Insurance for yourself/spouse & family (income protection/health/life)
- Optical and dental reimbursement
- 15 days annual leaves
- Fun & cozy workplace & colleagues
- Career advancement opportunities
Hit the 'Apply Now' button to start your new journey!
We regret to inform that only shortlisted candidates will be notified.