Data Scientist/ Sr. Data Scientist

Impact Credit Solutions; Jakarta Pusat; On-site; USD 30.000 - 50.000; Full time

Job summary

A financial services company in Jakarta is seeking a Data Scientist/Senior Data Scientist to drive innovation and data strategy. The role involves developing machine learning models and collaborating with teams to provide analytical solutions. The ideal candidate should have over 5 years of experience in data analytics, a strong understanding of lending practices, and proficiency in Python and R. Competitive compensation and growth opportunities are offered.

Benefits

Challenging role in a startup environment

Opportunities for professional growth

Dynamic work environment

Competitive compensation and benefits

Qualifications

• 5+ years of experience in data analytics or related roles.
• Hands-on experience in the model development lifecycle.
• Experience developing credit models in Retail/SME space.

Responsibilities

• Translate complex business problems into analytical questions.
• Design and implement data-driven solutions.
• Develop and implement advanced machine learning models.

Skills

Statistical analysis

Machine learning

Data management

Predictive analytics

Problem solving

Communication

Education

Degree in a quantitative discipline

Tools

Python

R

SQL

Tableau

Cloud platforms

Job description

Background

Through technology and advanced analytics, Nikel offers a range of products to our customers in Indonesia, including Customer Acquisition, Credit Card Onboarding and Management, Lending Onboarding and Management, Fraud Detection System, Credit Decision Engine and Risk & Analytics Consulting. Our mission is to drive business growth by providing secure, efficient, and inclusive financial solutions. Website:https://nikel.com/

Job Summary

The Company is seeking a dynamic and experienced Data Scientist/ Senior Data Scientist (exact job title commensurate with experience), to help accelerate the Company’s innovation and data-driven strategy, focusing on data management, predictive analytics, machine learning, and intelligent automation. The ideal candidate should possess a deep understanding of lending, credit, payment risk management, and will be responsible for developing innovative data solutions. You will collaborate with cross-functional teams and collaborate with stakeholders to deliver innovative data solutions that enable informed decision-making and business growth.

What you’ll bring:

• Curious and creative mindset: You thrive in solving complex, undefined problems and have a passion for exploring new ideas. You’re not afraid to ask the tough questions or present innovative approaches, and you can distill your insights for non-technical audiences.
• Strong technical expertise: You have hands-on experience building data science solutions from concept to production, leveraging open-source tools and modern cloud computing platforms. You can work comfortably with massive datasets.
• Statistical prowess: You’ve built, validated, and fine-tuned models. You know your way around a confusion matrix, ROC curves, clustering, classification, time series analysis, and deep learning techniques.
• Customer and product focus: You're driven by a passion for fintech and enhancing the banking experience. You ensure that your work directly contributes to business outcomes.

Key Responsibilities

• Translate complex business problems into analytical questions.
• Design and implement data-driven solutions for a variety of use cases.
• Develop and implement advanced machine learning models, such as credit scoring, fraud detection, behavioral analytics, and optimization models.
• Create analytics dashboards for actionable insights and reporting, improving decision-making processes.
• Manage end-to-end data science projects, including planning, execution, and post-implementation monitoring.
• Continuously improve data science practices, tools, and frameworks to ensure scalability and efficiency.
• Collaborate closely with product and engineering teams to integrate data models into core products.
• Present and explain findings to both technical and non-technical stakeholders, ensuring clarity and impact.
• Mentor junior data scientists and offer technical guidance to support team growth and success.

Qualifications

• Degree in a quantitative discipline: Mathematics, Statistics, Data Science, Computer Science, Statistics, Engineering, or a related field.
• 5+ years of experience in data analytics, data management, or related roles.
• Solid understanding of statistical models, including their assumptions and limitations.
• Experience developing credit models in the Retail/SME space (e.g., credit cards, merchant analytics, fraud detection).
• Strong proficiency in Python, R, or SQL; experience in multiple languages is a plus.
• Hands-on experience in the model development lifecycle (training, validation, tuning, monitoring).
• Familiarity with data visualization tools such as Tableau and/or Metabase; dashboard creation experience is an advantage.
• Strong understanding of financial industry best practices.
• Experience with cloud platforms (AWS, Azure, Google Cloud) for data processing and model deployment is a plus.
• Strong understanding of data management principles and infrastructure is a plus.

Benefits

• Challengingrolein a startup environment with strong growth ambitions.
• Opportunities for professional growth and development.
• A dynamic and innovative work environment.
• Competitive compensation and benefits

At Nikel, we are committed to diversity and equitable access to employment opportunities based on ability. We thank all applicants for their interest but will only contact candidates selected to advance in the hiring process.