Bright Money is hiring for a fresher entry level Data Scientist 1 role in India

Position:

• Data Scientist I

Company:

• Bright Money

Location:

• Bangalore Urban, Karnataka, India

Job type:

• Full-time

Job mode:

• On-site

Job requisition id:

• Not explicitly mentioned, internal requisition to be shared during application

Years of experience:

• 0 to 3 years (entry-level to early career professionals)

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Company Description

• Bright Money is a consumer-focused financial technology startup designed to empower individuals in managing and eliminating debt.

• It operates as a mobile-first platform in the United States, offering innovative solutions that combine machine learning, artificial intelligence, and financial planning expertise.

• The app provides multiple features, including tools for building credit scores, generating personalized debt repayment strategies, financial planning solutions, and customized budgets.

• Users can also access options for refinancing loans across categories such as credit cards, student loans, and car loans.

• Bright Money has demonstrated exponential growth, recording a six-fold increase in just the past year.

• Its user base has reached over 300,000 individuals, and the app has received more than 100,000 positive ratings and reviews, reflecting customer trust and satisfaction.

• The company is financially backed by globally recognized venture capital firms such as Sequoia Capital, Falcon Edge, and Hummingbird Ventures, alongside investments from prominent angels across the US, UK, and India.

• With over 40 million USD in funding raised, Bright Money has also secured an additional 50 million USD in debt funding from Encina Lender Finance, which specializes in lending solutions to consumer-focused financial institutions.

• Ranked among the top 8 fintech players in the United States, Bright aims to enter the top 100 financial institutions in the country.

• Its vision is to build an at-scale consumer technology company originating from India but serving global markets, leveraging data science and predictive modeling to create long-term financial impact for users.

• Founded in 2019 by experts from McKinsey’s Banking Practice and senior data professionals from InMobi, Bright is led by a highly experienced team including Petko Plachkov, Avi Patchava, Varun Modi, Avinash Ramakath, and Jayashree Merwade.

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Profile Overview

• Bright Money is looking for an entry-level Data Scientist to join its fast-growing data science team.

• The selected candidate will play a crucial role in developing, deploying, and maintaining machine learning models that directly support real-world business decisions.

• The position emphasizes the application of core statistical principles, probability, and machine learning algorithms to create predictive solutions for a consumer fintech platform.

• This role provides the opportunity to work with massive datasets, deriving insights that help customers reduce debt, plan budgets, and improve financial health.

• A key part of the role will be to collaborate across multiple functions, including engineering, product development, and business strategy, to translate requirements into impactful data-driven solutions.

• As part of a fintech business, the models you design will have a direct impact on how users manage debt, build credit, and interact with financial products, making the role both technically challenging and socially meaningful.

• You will not only work on deploying models but also ensure they scale effectively, remain accurate over time, and contribute to the company’s growth trajectory.

• The role also allows hands-on exposure to cutting-edge technologies, including transformers, deep learning frameworks, generative AI, and LLM-based applications.

• Overall, this opportunity provides a chance to build real-world skills in data science, while contributing to Bright’s mission of improving financial wellness for consumers.

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Qualifications

• Candidates should hold a bachelor’s or master’s degree in computer science, mathematics, statistics, or a related technical field.

• A solid understanding of probability distributions, regression methods, hypothesis testing, and classification techniques is expected.

• Applicants must demonstrate proficiency in at least one programming language widely used in machine learning, such as Python or R.

• Practical experience with machine learning libraries and frameworks, including scikit-learn, TensorFlow, and PyTorch, is required.

• Familiarity with model deployment and serving frameworks like Docker, Flask, FastAPI, or MLflow is desirable.

• Candidates should have hands-on experience implementing ML models in production environments, ensuring robustness and scalability.

• Awareness of modern AI techniques, including large language models, generative AI, and transformers, adds significant value.

• Knowledge of cloud ecosystems such as AWS, GCP, or Azure is an added advantage.

• Soft skills including problem-solving, clear communication, and teamwork are essential to succeed in this role.

• Preferred applicants may also have exposure to deep learning, prior experience in MLOps practices, or research publications and side projects demonstrating novel applications of AI and ML.

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Additional Info

• The role will involve modeling user behavior at scale, focusing on solving problems specific to debt management and financial planning.

• You will analyze savings account and transaction-level data to uncover insights that inform product design and user engagement.

• A major focus will be the development of predictive and prescriptive models, which will guide both product strategy and customer outcomes.

• The work environment encourages experimentation with next-generation AI approaches, including reinforcement learning, generative AI, and advanced deep learning techniques.

• Collaboration is central to the role, requiring strong coordination with engineers and product teams to integrate machine learning into live customer-facing features.

• Bright provides a high-impact environment where your contributions as a Data Scientist directly enhance the customer experience and shape financial outcomes.

• This position is ideal for individuals who want to make an early-career impact in a global fintech startup, applying state-of-the-art technology to practical financial problems.

• Joining Bright Money means contributing to the mission of building a first-of-its-kind consumer technology company rooted in India and scaling for global markets.

Please click here to apply.