Position:
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Data Scientist
Company:
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FREED
Location:
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Gurugram, Haryana, India
Job type:
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Full-time
Job mode:
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Onsite
Job requisition id:
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Not specified
Years of experience:
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0-3 years
Company Description
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FREED is a purpose-driven fintech company focused on solving one of the most critical financial issues of modern times: debt.
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The company empowers individuals who are struggling with debt by offering customized debt relief solutions tailored to their specific situations.
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FREED operates with a clear vision—to help people regain their financial independence and become creditworthy again.
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With a fast-growing team and a strong market presence, FREED is creating real impact across the financial landscape in India.
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The company has seen significant growth with a 42% increase in employee size over the last 2 years, currently employing over 200 professionals.
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FREED combines cutting-edge technology with customer-centric service to address pain points in the financial recovery space.
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FREED isn’t just a company—it’s a movement to liberate individuals from the burden of debt and guide them toward a financially secure future.
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The organization values ethics, transparency, and innovation, making it a solid ground for building a meaningful career.
Profile Overview
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This entry-level Data Scientist role at FREED places you at the exciting intersection of Generative AI, traditional machine learning, and financial technology.
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The primary focus of the position is to contribute toward building intelligent AI-driven systems that optimize customer experiences in financial services.
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You’ll collaborate with product, engineering, and operations teams to develop AI solutions that enhance business efficiency and customer engagement.
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The work revolves around real-world applications such as credit evaluations, sales automation, support systems, and decision intelligence.
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You'll be empowered to build end-to-end data science solutions from ideation to production, including model training, deployment, and monitoring.
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A key part of the role includes developing AI agents and large language model (LLM) tools that can summarize data, detect sentiment, provide recommendations, and improve customer interaction.
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FREED encourages experimentation with new tools, techniques, and frameworks to keep their AI strategy ahead of the curve.
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This position is ideal for individuals passionate about applying data and AI to solve real societal problems while contributing to the ethical use of technology.
Qualifications
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A solid understanding of core machine learning concepts such as supervised and unsupervised learning, model training, evaluation, and deployment.
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Ability to work with structured and unstructured data to extract meaningful patterns and build models that solve business problems.
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Proficiency in Python and SQL for data manipulation, transformation, and model implementation.
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Experience working with machine learning libraries and frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
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Familiarity with LLMs and frameworks like OpenAI APIs, LangChain, and HuggingFace for building GenAI solutions.
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Capable of translating business challenges into scalable data-driven solutions using end-to-end pipelines and APIs.
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Knowledge of cloud computing platforms like AWS, Azure, or Google Cloud for deploying models and managing infrastructure.
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Strong communication and collaboration skills, with the ability to explain technical solutions to non-technical stakeholders.
Additional Info
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Candidates with exposure to the Fintech or BFSI domain are preferred, especially those with experience working on credit data, loan analytics, or financial risk.
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Understanding of AI ethics, model fairness, and privacy practices in data handling is a plus, especially when dealing with sensitive customer information.
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Experience building customer-facing AI tools such as chatbots or virtual assistants using agentic workflows is advantageous.
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FREED offers a unique opportunity to be part of a growing AI team that’s influencing product and business strategy.
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The environment encourages innovation, critical thinking, and autonomy, making it ideal for self-starters and problem solvers.
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Employees will have the freedom to experiment with GenAI solutions like Retrieval-Augmented Generation (RAG), embeddings, and fine-tuning.
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The company fosters a work culture centered around curiosity, bold thinking, and complete ownership of outcomes.
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This is a high-impact role for those looking to make a tangible difference in the personal finance sector through the power of AI and data science.
Please click here to apply.
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