Data Scientist

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Merimen

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python SQL Flow CI Analytics play Docker

Job Description

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.


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