Wait, What Do You Do?

We are looking for our future Junior Data Scientist to join our team in Jakarta or Kuala Lumpur and kick-start an exciting journey in Data & AI, working on high-impact projects for local and international clients. <h2>Who Are We?</h2> Artefact is a new-generation consulting firm fully dedicated to Data and AI transformation. With more than 2,000 talents across 24 countries, we help organizations unlock the full potential of their data to accelerate business performance. Our mission? To transform data into measurable business impact. We work across the entire data value chain, including: <ul> <li> Automating critical business processes through AI </li> <li> Optimizing and personalizing customer experiences </li> <li> Data strategy & digital marketing </li> <li> Media activation, measurement & advanced analytics </li> <li> Building and deploying robust and scalable data solutions </li> </ul> Our expertise is trusted by more than 1,000 clients worldwide, including AccorHotels, Orange, Carrefour, Engie, Emirates, Deutsche Telekom, Monoprix, and many more. To support our continued growth in Southeast Asia, our Jakarta and Kuala Lumpur offices are looking for curious and motivated Junior Data Scientists who are eager to learn, grow, and develop alongside an experienced team. <h2>Our Mission</h2> At Artefact, our mission is to help organizations become AI champions by unlocking the full value of their data. We believe in a unique approach that combines business expertise, cutting-edge technology, and responsible AI practices. We strive to create an environment where continuous learning, initiative, collaboration, and knowledge sharing drive our collective success. <h2>Your Role</h2> As a Junior Data Scientist, you will join a supportive yet challenging environment where experienced team members will help you develop your technical and consulting capabilities. Your responsibilities will include: <ul> <li> Collecting, cleaning, and preparing datasets required for analytical and Data Science projects. </li> <li> Conducting exploratory data analysis and developing visualizations to identify trends, patterns, and insights. </li> <li> Implementing and testing Machine Learning models under the guidance of Senior Data Scientists. </li> <li> Supporting feature engineering and variable selection in collaboration with the wider project team. </li> <li> Preparing concise reports and presentations to communicate findings and results to internal teams and clients. </li> <li> Properly documenting scripts, models, methodologies, and data pipelines. </li> <li> Keeping up to date with emerging Data Science methodologies, technologies, and tools. </li> <li> Collaborating with Data Scientists, Data Engineers, Analysts, and Consultants to deliver data-driven solutions that create measurable business impact. </li> </ul> To show that you have read this job posting carefully, please include the word "curiosity" in your application. <h2>What We Are Looking For</h2> <ul> <li> Bachelor's or Master's degree in Data Science, Mathematics, Statistics, Computer Science, Engineering, or another relevant quantitative field. Final-year students may also be considered. </li> <li> 1–2 years of experience in Data Science. Relevant internships, academic projects, research, or practical Data Science experience will also be considered. </li> <li> Solid foundation in Python, including libraries such as pandas, NumPy, scikit-learn, and matplotlib. </li> <li> Understanding of fundamental Machine Learning algorithms, including regression, classification, and clustering. </li> <li> Basic understanding of descriptive and inferential statistics. </li> <li> Intermediate SQL skills, including queries, joins, and aggregations. </li> <li> Familiarity with Git and notebook environments such as Jupyter or Google Colab. </li> <li> Strong analytical and problem-solving skills. </li> <li> Curiosity, attention to detail, and a genuine desire to learn and grow in a challenging environment. </li> <li> Good communication skills and the ability to collaborate effectively within multidisciplinary teams. </li> <li> Comfortable working in an international and fast-paced consulting environment. </li> </ul> <h2>Why Join Us?</h2> Joining Artefact in Jakarta or Kuala Lumpur means much more than just starting a new job. You will have the opportunity to: <ul> <li> Kick-start and accelerate your career at a fast-growing global Data & AI consulting company. </li> <li> Learn directly from and be mentored by experienced Data Science and AI professionals. </li> <li> Work on real-world, high-impact Data & AI projects. </li> <li> Gain exposure to a wide variety of industries, business challenges, and technologies. </li> <li> Grow quickly in an international, agile, and intellectually stimulating environment. </li> <li> Collaborate with colleagues and experts across Artefact's global network. </li> <li> Create tangible business impact for clients across industries such as financial services, telecommunications, retail, consumer goods, technology, and energy. </li> </ul> <h2>What We Offer</h2> <ul> <li> A full-time position based in Jakarta, Indonesia or Kuala Lumpur, Malaysia. </li> <li> Opportunities to work on high-impact projects for leading local, regional, and international clients. </li> <li> Access to Artefact's learning and development ecosystem, including MOOCs, internal knowledge-sharing sessions, technical training, certifications, and mentoring. </li> <li> Exposure to a global network of Data, AI, and consulting professionals. </li> <li> A collaborative, entrepreneurial, and fast-growing working environment. </li> <li> Opportunities for accelerated career development based on performance and capabilities. </li> </ul> <h2>Our Recruitment Process</h2> 1. Initial HR Discussion A phone or video conversation to learn more about your background, experience, projects, and motivations, while giving you the opportunity to learn more about Artefact and the role. 2. Technical Challenge A practical Data Science exercise designed to understand how you approach data, solve problems, and structure your analysis. 3. Manager Interview & Meet the Team You will meet your potential manager and members of the team to discuss your technical experience, problem-solving approach, and how you could contribute to Artefact. 4. Offer If everything goes well, we will proceed with an employment offer. 📩 Ready to join the adventure? Click Apply and start your journey with Artefact! P.S. We hire people, not just profiles. Be yourself and show us what makes you unique!