Data Scientist (Remote)

Actively Reviewing the Applications

Uplers

India, Bhubaneswar, Odisha Full-Time

Posted 2 days ago • Apply by April 23, 2026

Job Description

Experience: 3.00 + years

Salary: INR 2800000.00 / year (based on experience)

Expected Notice Period: 7 Days

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Remote

Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: https://joinhorizons.com/)

(*Note: This is a requirement for one of Uplers' client - An AI-driven platform that streamlines cash-flow analysis and loan decisioning)

What do you need for this opportunity?

Must have skills required:

fintech domain, ML Platforms, Spark, TensorFlow, Theano., Java, Python, R, Tableau

An AI-driven platform that streamlines cash-flow analysis and loan decisioning is Looking for:

Role

Company is seeking a Data Scientist to be a key member of the technical team, responsible for designing and developing algorithms to be integrated into their products. Experience in implementing various types of machine learning models, including neural networks, linear regression, polynomial networks, and factorization machines, among others, is required. This position requires experience in developing algorithms that have been integrated into commercial products.

Responsibilities

Responsible for the creation, identification, development, and continuous evolution of the comapny''s machine learning based algorithms
Communicate roadblocks, issues, and limitations related to algorithm development and make recommendations on creative solutions to build the product platform.
Identify and deploy the best machine learning strategies, including when to use which strategy, such as supervised, unsupervised, semi-supervised, or reinforcement learning.
Drive the associated data strategy, including sources, organization, collection, and extraction for use in the development and continuous evolution of matching algorithms.
Apply advanced statistical techniques such as principal component analysis (PCA), hypothesis testing, outlier detection, and feature selection methods (e.g., mutual information) to clean, transform, and curate datasets for optimal performance in machine learning models.
Work closely with the Engineering team to understand the optimal timing of integrating and validating developed algorithms in our products throughout the entire software development lifecycle, from concept to product.
Work closely with the Principal Data Scientist as part of a cross-functional team to develop and evolve the Vitalxchange technology stack and intellectual property.
Helping to identify areas where risk management practices should be adopted
Adhering to company policies and standards of conduct, and reporting incidents and observed anomalies or weaknesses

Requirements

Minimum 3 years of experience in developing machine learning algorithms in an applied field (financial lending applications desirable)
Expert-level knowledge of three or more of the following: Java, Python, R, Spark, Tensorflow, Theano.
Experience with multiple ML platforms to process structured and unstructured data
Familiar with multiple ML techniques such as Linear Regression, Logistic Regression, Decision Trees, Vector Machines, Supervised/Unsupervised Learning
Familiar with statistical techniques for curating data and evaluating machine learning models, such as creating confidence intervals, t-tests, chi-square tests, Bayesian inference, linear regression, logistic regression, k-means, mutual information, etc.
MS or higher in Applied Mathematics, Computer Science, or a similar field with advanced coursework

How to apply for this opportunity?

Step 1: Click On Apply! And Register or Login on our portal.
Step 2: Complete the Screening Form & Upload updated Resume
Step 3: Increase your chances to get shortlisted & meet the client for the Interview!

About Uplers:

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!