CRED
CRED is hiring a data scientist in hyderabad. The salary has not been published by the employer. Everything below comes from the employer’s own posting, with the apply link going directly to their careers portal.
About this role
prefr (operated by creditvidya) is a digital-first lending platform that makes credit accessible to millions across India. With loan offerings ranging from ₹50,000 to ₹5 Lakh, we’re enabling instant personal loans and flexible pay-later credit lines, especially for first-time borrowers and underserved regions. Backed by RBI-approved NBFC partnerships, we’ve built a platform that uses selfie-based KYC, minimal documentation, and AI-powered underwriting to disburse loans within minutes. about the role we are looking for a passionate and technically strong ai/ml engineer to join our core team driving the intelligence behind our lending platform. this is an l4-level role where you'll build high-performance ml frameworks, scale decision systems, and lay the foundation for the next evolution: agentic ai systems that autonomously extract insights, support business decisions, and power internal copilots. if you are someone who enjoys solving hard problems at the intersection of software engineering and ml, and are excited about the future of ai agents in real-world systems, we want to hear from what you will do : design, validate, and productionize advanced machine learning and deep learning models to generate actionable insights for strategic business decisions. focus areas include credit risk prediction, propensity modeling, fraud detection, collection efficiency improvement, and other finance-related applications. optimize and tune machine learning algorithms for performance and scalability, ensuring seamless integration with production pipelines and robustness in real-world environments. develop and maintain monitoring frameworks to track model performance over time, detect data or concept drift, and provide timely, actionable feedback for retraining or recalibration as needed. analyze and interpret large, complex datasets from distributed databases to generate and provide valuable actionable insights to stakeholders using big data technologies like scala-spark/pyspark. drive continuous improvement by exploring, researching, and implementing innovative modeling techniques and algorithms. stay up-to-date with advancements in ml/ai and proactively apply new techniques to improve model performance or uncover new opportunities. as part of our long-term vision, contribute to building agentic systems that automate key parts of the data science pipeline from feature engineering and model selection to monitoring and reporting, enabling faster experimentation and decision-making. you should apply if : have 4+ years of hands-on experience (or 2+ years if holding a master’s degree) in data science, machine learning, or analytics roles solving real-world business problems. hold a bachelor's or master’s degree in a quantitative field such as computer science, statistics, mathematics, or a related discipline. are proficient in programming languages like python or r, and comfortable working with large datasets and distributed computing tools. have a strong foundation in machine learning algorithms, statistical modeling techniques, and data-driven decision-making. excels at approaching complex problems with a structured mindset, driving data-backed and practical solutions. communicate effectively and enjoy collaborating with cross-functional teams, including product, business, and engineering. show strong business acumen, you don’t just build models, you build solutions that drive measurable impact. are passionate about learning. you stay curious about new techniques, tools, and innovations in the ai space, and are excited to apply them to practical business use cases.
Links directly to the employer’s own application form. Free to apply.
What the pay looks like
CRED has not published a salary for this role. That is normal — many employers only discuss pay once you reach the offer stage. Ask the recruiter for the range early so you do not spend weeks on a process that cannot meet your number.
Whatever figure you are quoted is CTC, not take-home. Employer PF, gratuity and any variable component sit inside it. Our in-hand salary calculator converts a CTC figure into a realistic monthly number.
Before you apply
Never pay to apply. No genuine employer charges a registration fee, security deposit or training cost. Any request for money is a scam, without exception.
Apply through the employer’s own domain. The button above points at CRED’s careers portal. If you reach this role through a message or email instead, navigate to the company’s site yourself rather than following the link.
Hold back personal documents. Bank details and identity documents belong at the offer stage, confirmed over official company email — never during a chat-app conversation.
Common questions
Is this listing genuine?
Yes. The apply button links to the requisition on CRED’s own applicant tracking system, not to a third-party form. TechJobs360 never charges candidates.
How current is it?
This listing was published on 2025-12-18 and is checked against the employer’s portal daily. If CRED closes the requisition, the page is withdrawn. Openings can still close between checks, so treat the employer’s own portal as authoritative.
What are the eligibility requirements?
CRED lists this as a 2-5 role. Exact eligibility — degree, batch year and cut-offs — is set by the employer and stated on the official posting.
How do I apply?
Use the apply button above. It opens CRED’s official application form — there is no TechJobs360 step in between and no account needed here.
TechJobs360 is an independent career-information platform and is not the employer for this role. Eligibility, compensation and deadlines are set by CRED and can change without notice. Always confirm current details on the official portal before applying. We never charge candidates a fee.
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