Data Scientist

Full time
🔍 Find Similar Jobs

Job Details

Employment Type

Full time

Salary

0.00 USD

Valid Through

Sep 21, 2025

Job Description

At ExtensoData, we build data-driven solutions that help financial institutions make smarter, faster, and safer decisions. As a Data Scientist, you’ll work on projects in credit risk assessment, fraud detection, and behavioral analytics. You’ll be involved in the full model lifecycle from exploring data to deploying solutions while learning from experienced colleagues and contributing to meaningful, real-world outcomes. Qualification and ExperienceBachelor’s or Master’s degree in Statistics, Data Science, Computer Science, or a related quantitative field. 2–4 years of experience applying data science techniques in real-world projects.

Job DescriptionContribute to the design, development, and validation of predictive and machine learning models for risk scoring, early warning systems, and fraud analytics. Perform exploratory data analysis to identify trends, patterns, and anomalies in large financial and transactional datasets. Engineer and select features to improve model accuracy, interpretability, and stability. Collaborate with data engineers to prepare scalable, high-quality datasets and automated workflows. Create clear visualizations and reports to communicate findings to both technical and non-technical audiences. Collaborate closely with cross-functional teams to understand business needs and translate them into analytical solutions.

Support monitoring of deployed models to ensure accuracy over time. Continuously expand your technical skills and stay informed on emerging tools and techniquesRequired SkillsProficient in SQL and Python, with experience using big data tools such as HDFS, PySpark, and Hive. Strong understanding of statistical modeling and machine learning algorithms. Familiarity with banking or digital payments domains is desirable. Excellent problem-solving, analytical thinking, and communication skills. Interest in credit risk, fraud detection, and behavioral analytics. Experience with deep learning libraries such as TensorFlow or PyTorch. Exposure to cloud platforms and MLOps practices.

Benefits of Working at eXtensoDataA stellar opportunity to work with the rising company. The amazing and passionate young team, a beautiful office space. Trust of the biggest FinTech company. One-of-a-kind company culture and growth opportunities to accelerate your career progression. How to apply?We are always keen to meet energetic and talented professionals who would like to join our team. Click on the button below and submit your application to apply for the post. Related JobsGalli ExpressJunior Flutter Developer Baneshwor, Kathmandu, Nepal 5 months agoFull TimeEntry LevelEngineeringDeadline:

2 days from nowFoneNXTSoftware Engineer - JAVA F1Soft Tower, Pulchowk, Lalitpur District, Nepal 4 months agoFull TimeMid LevelEngineeringDeadline: 2 days from noweSewaiOS Developer Pulchowk, Lalitpur District, Nepal 2 months agoFull TimeMid LevelEngineeringDeadline: 1 week from nowEsewa Travels and ToursFull Stack Developer Pulchowk, Lalitpur District, Nepal 1 month agoFull TimeMid LevelEngineeringDeadline: 1 week from nowEsewa Travels and ToursiOS Developr Pulchowk, Lalitpur District, Nepal 1 month agoFull TimeSenior LevelEngineeringDeadline: 1 week from nowEsewa Travels and ToursQA Engineer Pulchowk, Lalitpur District, Nepal 3 weeks agoFull TimeEntry LevelEngineeringDeadline: 1 week from noweXtensoDataSenior Data Scientist F1Soft Tower, Pulchowk, Lalitpur District, Nepal 1 day agoFull TimeSenior LevelEngineeringDeadline: 1 month from now

Apply Now

You'll be redirected to the company's application portal

Application Success Tips

Resume Tailoring

Customize your resume to highlight skills and experiences relevant to this specific position.

Company Research

Learn about the company's mission, values, products, and recent news before your interview.

Profile Optimization

Ensure your LinkedIn profile is complete, professional, and matches your resume information.

Interview Preparation

Prepare thoughtful questions to ask about team dynamics, growth opportunities, and company culture.

Back to Job Listings