Senior Data Scientist

We are urgently hiring for Senior Data Scientist with Biz2x at Noida.

As a Biz2x Data Scientist, you will shape the company's data-centric culture, work closely with our engineering team to develop our analytics infrastructure, and collaborate closely with our Chief Risk Officer on developing, validating, and automating our customer conversion and underwriting models. While a background in financial services is not required, you must be passionate about tackling complex data challenges for the benefit of small and medium businesses everywhere. Job

Job Responsibility: -

▪ Drive the ongoing advancement and refinement of Biz2Credit's credit decisioning & pricing model - optimizing risk and return while dramatically reducing decision cycle times.

▪ Continuously evaluate alternative data sources and structures to document and improve the efficacy of our customer conversion models and processes.

▪ Harness the power of Biz2Credit's technology to proactively identify emerging risks as well as opportunities with our customers.

▪ Play a key role in the design and implementation of ongoing operational and risk reporting and analytics.

▪ Work on data projects and proposals involving Biz2Credit's financial services partners worldwide (banks, non-banks, debt investors, equity investors and others) to analyze, classify and visualize credit-related data

▪ Perform ad hoc analyses on customer, business, and portfolio trends to generate actionable insights for internal and external stakeholders

▪ Manage multiple projects and priorities while delivering accurate & timely results in a fastpaced environment Requirements

▪ Degree in Statistics, Applied Mathematics, Engineering, Computer Science or other quantitative fields from leading university;

Advanced degree preferred

• 3-6 years of experience in applied data science or machine learning roles.

• Hands-on experience with LLMs and GenAI applications.

• Expertise in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn.

• Strong experience in deep learning, NLP, and generative models (e.g., VAEs, GANs, Diffusion models).

• Experience with prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), or model distillation.

• Proficiency in SQL, data wrangling, and working with large datasets.

• Familiarity with MLOps tools (e.g., MLflow, Airflow, Kubeflow) and cloud platforms (AWS/GCP/Azure). Preferred Qualifications

• Published work in ML/AI journals or major conferences (NeurIPS, ICML, ACL, CVPR, etc.).

• Experience building and deploying LLM-powered applications in production.

• Background in reinforcement learning, time series forecasting, or causal inference.

• Understanding data privacy, model fairness, and ethical AI consideration

https://app.intalent.ai/biz2credit/recruitment/candidate/new/354