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114

Data Scientist jobs in Indonesia

Data Scientist - NPD

Kredivo Group

Daerah Khusus Ibukota Jakarta
On-site
USD 25,000 - 40,000
30+ days ago
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Data Scientist

AwanTunai

Daerah Khusus Ibukota Jakarta
On-site
IDR 489,636,000 - 816,061,000
30+ days ago

Senior Growth Data Scientist

Rocket Lab

Daerah Khusus Ibukota Jakarta
On-site
IDR 570,590,000 - 978,155,000
30+ days ago

Jr Data Scientist

Amar Bank

Daerah Khusus Ibukota Jakarta
On-site
IDR 300,000,000 - 400,000,000
30+ days ago

Sr Data Scientist

Amar Bank

Daerah Khusus Ibukota Jakarta
On-site
IDR 300,000,000 - 400,000,000
30+ days ago
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Data Scientist

Sidaboat

Daerah Khusus Ibukota Jakarta
On-site
IDR 300,000,000 - 400,000,000
30+ days ago

Sr Data Engineer - Portugal

DoiT International

Indonesia
Remote
IDR 1,312,982,000 - 1,969,474,000
4 days ago
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Data Analyst

Talent Insider

Jakarta Selatan
On-site
IDR 200,000,000 - 300,000,000
4 days ago
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Data Analyst

Talent Insider

Daerah Khusus Ibukota Jakarta
On-site
IDR 200,000,000 - 300,000,000
4 days ago
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Master Data Specialist

PT Coway International Indonesia

Jakarta Selatan
On-site
IDR 200,000,000 - 300,000,000
4 days ago
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Senior Machine Learning Engineer

Talent Insider

Daerah Khusus Ibukota Jakarta
On-site
IDR 200,000,000 - 300,000,000
4 days ago
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Sr Data Engineer

DoiT International

Indonesia
Remote
IDR 200,000,000 - 300,000,000
4 days ago
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SENIOR DATA ANALYST

PT Mitra Andal Sejati

Jakarta Utara
On-site
IDR 200,000,000 - 300,000,000
4 days ago
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Senior Data Engineer

Insignia.co.id

Indonesia
On-site
IDR 200,000,000 - 300,000,000
4 days ago
Be an early applicant

Data Engineer - Data Warehouse

PT Trinusa Travelindo

Jakarta Utara
On-site
IDR 200,000,000 - 300,000,000
4 days ago
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Sr Data Engineer- Poland

DoiT International

Indonesia
Remote
IDR 200,000,000 - 300,000,000
4 days ago
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Data Engineer (Onsite in Medan)

Topremit

Kota Medan ᯔᯩᯑᯉ᯲
On-site
IDR 200,000,000 - 300,000,000
4 days ago
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Senior Data Analyst

Talent Insider

Daerah Khusus Ibukota Jakarta
On-site
IDR 200,000,000 - 300,000,000
4 days ago
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Sr Data Engineer - Ukraine

DoiT International

Indonesia
Remote
IDR 1,477,104,000 - 2,133,596,000
4 days ago
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Junior Data Engineer

Canonical Group Ltd

Emea
Hybrid
IDR 200,000,000 - 300,000,000
4 days ago
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Data Analyst

Convergence

Kota Yogyakarta
On-site
IDR 200,000,000 - 300,000,000
4 days ago
Be an early applicant

DATA ANALYST

PT GADAI JADI BERKAH

Tangerang
On-site
IDR 200,000,000 - 300,000,000
5 days ago
Be an early applicant

DATA ANALYST

PT Venindo Jaya Abadi

Jakarta Utara
On-site
IDR 200,000,000 - 300,000,000
5 days ago
Be an early applicant

Data Engineer

VIDA Digital Identity

Jakarta Selatan
On-site
IDR 200,000,000 - 300,000,000
5 days ago
Be an early applicant

Market Research & Data Analyst

Kabobs Premium Kebab

Kota Bandung
On-site
IDR 100,000,000 - 200,000,000
5 days ago
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Data Scientist - NPD
Kredivo Group
Daerah Khusus Ibukota Jakarta
On-site
IDR 408.030.000 - 652.849.000
Full time
30+ days ago

Job summary

A leading company in fintech is seeking a Data Scientist to innovate with deep learning and Generative AI technologies. The role involves developing models to enhance operational efficiencies such as eKYC and customer service, with a focus on cutting-edge machine learning techniques. Ideal candidates will have strong quantitative backgrounds and proficiency in Python, along with 3 years of relevant experience. Join a team dedicated to advancing data science capabilities and driving impactful business value.

Qualifications

  • Minimum 3 years of relevant work experience.
  • Proficiency in Python and experience in end-to-end deep learning models.
  • Solid quantitative background in Computer Science, Mathematics, Statistics, etc.

Responsibilities

  • Research, develop, and build POCs in Generative AI and other technologies.
  • Develop and train deep learning models for eKYC and Customer Service applications.
  • Contribute to improving data science capabilities at FinAccel.

Skills

Python
Deep Learning
Natural Language Processing
Computer Vision
Generative AI
Quantitative Analysis
English Communication

Education

Bachelor’s, Master’s, PhD in Quantitative Field

Tools

AWS
GCP
Unix Command Line
Job description

As a Data Scientist you’ll be part of a team that is working on cutting edge machine learning models. You will work side by side with Analysts and Machine Learning Engineers and take full ownership of your work – from the initial idea-generation phase to the implementation of the final product. Our ideal candidate is result-focused, innovative, has a solid quantitative background and a good business understanding.

About the role:

  • In the New Product Development (NPD) Team you will work on cutting edge technologies such as Generative AI, Foundation Models etc. to research, develop inhouse capabilities and build POCs that drive business values.
  • Develop and train deep learning models, in Computer Vision (CV) and Natural Language Processing (NLP) domains to help with operations such as eKYC and Customer Service.
  • Researching & Development on how to improve our models, by using our vast amount and unique set of data.
  • Actively contribute to taking Data Science at FinAccel to the next level.

About you:

  • Minimum 3 years of relevant work experience.
  • Bachelor’s, Master’s, PhD or equivalent experience in a quantitative field (i.e). Computer Science, Mathematics, Statistics, Econometrics, Engineering, Artificial Intelligence).
  • Proficiency in Python.
  • Experience in building end-to-end Deep Learning models e.g. CV or NLP models.
  • Passionate and stays up to date about Generative AI technologies such as LLM, Stable Diffusion etc.
  • Excellent English communication skills.

Bonus points (optional) for:

  • Experience with unix command line
  • Experience with working AWS and GCP
  • Experience with finetuning LLM using LoRA or building RAG applications using frameworks like LangChain or LlamaIndex

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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