Jr Data Scientist

7 days ago

Jakarta, Jakarta, Indonesia Amar Bank Full time 30,000,000 - 50,000,000 per year
Who are we?
Amar Bank is one of the most technologically advanced digital banks in Indonesia. Our leading digital lending product, Tunaiku has the distinction of being the first FinTech product in Indonesia. We are also the first digital bank on the cloud. As the first profitable digital bank, we managed to get listed on the Indonesian Stock Exchange.
How did we manage to do that?
We are changing people's perception of a bank. We believe we are the innovators who combine customer focus principles with creating technology-based impact. We incorporate freedom and flexibility as part of our startup working culture DNA to encourage innovation in creating better financial solutions for the banking industry. We think of ourselves as, 'A technology company with a banking license'. For this reason, we 'Act like a FinTech, and think like a Bank.'
How did it all start?
Founded on March 15, 1991, in Surabaya as PT Anglomas International Bank (Amin Bank), the bank was acquired by Tolaram Group and transformed to PT Bank Amar Indonesia (Amar Bank) in 2014. It has then undergone a significant digital transformation to become one of the country's forerunning fintech institutions through its award-winning digital lending platform, Tunaiku.
Our philosophy, mission, and vision
Technology must impact lives, must improve lives. We exist to provide banking to those who 'need' and not only to those who 'want'. Services when provided to those who need at the time of their need brings smiles. Our vision is to bring 200 million smiles.
More about the bank with startup culture environment
Consist of 1000+ people, you will meet people who love to grow, dream big, and actually have fun at the workplace We provide a great working environment that pushes people to grow outside their comfort zone. People with high drive and ambition find us a very attractive place to work as their career growth matches their own drive and not any staid policies. Thus we hold the honor of being awarded "Best Place to Work in Indonesia".
Recently Amar Bank was awarded as Inspirational Brand from APEA (Asia Pacific Enterprise Awards Of course, our innovation won't stop here. So if you would love to be a part of it, have a growth mindset, and are constantly hungry for challenges, we invite you to join us in our journey to 'Impact Lives'.
Join us today and create #unlimitedinnovations Responsibilities
  • Data Cleaning and Preprocessing: data cleaning and preprocessing tasks, preparing data for analysis.
  • Implementation of Models: implementing machine learning models may work on simpler models and have less experience in selecting and fine-tuning them.
  • Collaboration: work closely with senior team members, learning from them and contributing to projects under guidance.
  • Documentation: documenting their work, including data processing steps, model implementation, and results.
Requirements
  • Education: a bachelor's or master's degree in a relevant field such as computer science, statistics, or a related quantitative discipline.
  • Programming skills: proficiency in programming languages like Python or R.
  • Basic statistics and mathematics: understanding of basic statistical concepts and mathematical foundations of machine learning.
  • Tools and Frameworks: familiarity with common data science tools and frameworks.
  • Communication Skills: ability to communicate findings effectively to both technical and non-technical stakeholders.
Bonus Point If
  • Prior working experience from banking sector, especially from area of debt collection
We exist to innovate and maintain the architecture of Amar Bank's products. As part of our main focus to create through technology we ensure the process and technology we use helps maintain and build human connection at scale.
It's our job to plan, monitor, and control the technology growth so we can provide a faster, more convenient, and more efficient way of performing business transactions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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