When data is the canvas, you are the artist. You turn rows and columns into meaningful revelations and often ask questions that most people overlook. You seek to apply data science in ways that are practical and scalable to find answers to real-world business challenges.
At Entermind, you’ll help shape the future of intelligence with people who think as boldly as you do. Join our global team of world-class engineers, designers and strategists in Kuala Lumpur as a Data Scientist.
Your Playground
Breathe Life into Data
li]:relative [&>li]:pl-4 [&>li]:leading-5 [&>li]:before:content-[''] [&>li]:before:absolute [&>li]:before:left-0 [&>li]:before:top-[6px] [&>li]:before:w-[5px] [&>li]:before:h-[5px] [&>li]:before:bg-black [&>li]:before:rounded-full">
- Explore, clean and prepare structured and unstructured data for real-world use.
- Build predictive and statistical models that uncover what the data’s really saying.
- Translate data smarts into clear, actionable insights for business and strategy teams.
Build Brains that Learn
li]:relative [&>li]:pl-4 [&>li]:leading-5 [&>li]:before:content-[''] [&>li]:before:absolute [&>li]:before:left-0 [&>li]:before:top-[6px] [&>li]:before:w-[5px] [&>li]:before:h-[5px] [&>li]:before:bg-black [&>li]:before:rounded-full">
- Design and validate AI/ML and Generative AI use-cases, from model fine-tuning to deployment.
- Partner with data engineers to ensure pipelines are scalable and production-ready.
- Experiment relentlessly with new architectures that push AI forward.
Shape Human + Machine Harmony
li]:relative [&>li]:pl-4 [&>li]:leading-5 [&>li]:before:content-[''] [&>li]:before:absolute [&>li]:before:left-0 [&>li]:before:top-[6px] [&>li]:before:w-[5px] [&>li]:before:h-[5px] [&>li]:before:bg-black [&>li]:before:rounded-full">
- Design AI that feels natural, intuitive and human-aligned.
- Collaborate with strategists and designers to weave models into customer experiences.
- Create reusable frameworks and best practices for scalable, ethical AI adoption.
What We’re Looking For
Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics or related fields.
Experience: 2-4 years of professional experience as a Data Scientist.
Technical Skills
li]:relative [&>li]:pl-4 [&>li]:leading-5 [&>li]:before:content-[''] [&>li]:before:absolute [&>li]:before:left-0 [&>li]:before:top-[6px] [&>li]:before:w-[5px] [&>li]:before:h-[5px] [&>li]:before:bg-black [&>li]:before:rounded-full">
- Proficiency in Python and common data science libraries (Pandas, NumPy, Scikit-learn, etc.).
- Experience with machine learning techniques (classification, regression, clustering, etc.).
- Exposure to Generative AI concepts and fine-tuning of LLMs is a strong plus.
- Familiarity with cloud platforms (Azure, AWS or GCP) and version control (Git).
- Understanding of data visualization tools (Power BI, Tableau or similar).
Additional Skills
li]:relative [&>li]:pl-4 [&>li]:leading-5 [&>li]:before:content-[''] [&>li]:before:absolute [&>li]:before:left-0 [&>li]:before:top-[6px] [&>li]:before:w-[5px] [&>li]:before:h-[5px] [&>li]:before:bg-black [&>li]:before:rounded-full">
- Ability to collaborate in multi-disciplinary teams with engineers, designers and business leaders.
- Strong problem-solving skills with the ability to simplify complex ideas.
- Curiosity to explore, willingness to learn and openness to experiment
- Good communication skills to explain data findings to both technical and non-technical audiences.
Why You’ll Love It Here
li]:relative [&>li]:pl-4 [&>li]:leading-5 [&>li]:before:content-[''] [&>li]:before:absolute [&>li]:before:left-0 [&>li]:before:top-[6px] [&>li]:before:w-[5px] [&>li]:before:h-[5px] [&>li]:before:bg-black [&>li]:before:rounded-full">
- Work on real-world AI and data science projects that go beyond proof-of-concept.
- Be part of a consultancy that blends engineering rigour with human-centered design.
- Collaborate with a diverse, cross-functional team of engineers, researchers and strategists.
- Learn and grow in an environment that values curiosity, empathy and clarity as much as technical skills.
- Contribute to building AI-native enterprises across industries such as financial services, retail, telecom and insurance.