Sr Data Science

Sr. Data Scientist

About bluCognition:

bluCognition is an AI/ML based start-up specializing in risk analytics, data conversion and data enrichment capabilities. Founded in 2017, by some very named senior professionals from the financial services industry, the company is headquartered in the US, with the delivery center based in Pune.

We build all our solutions while leveraging the latest technology stack in AI, ML and NLP combined with decades of experience in risk management at some of the largest financial services firms in the world. Our clients are some of the biggest and the most progressive names in the financial services industry.

We are entering a significant growth phase and are looking for individuals with entrepreneurial mindset who wants us to join in this exciting journey.

Job Summary:

We're looking for a seasoned Senior Data Scientist with expertise in US commercial bureau (dun & bradstreet, LexisNexis, Experian or Equifax) data to lead the development of predictive models, data analytics, and machine learning solutions. The ideal candidate will have a strong background in data science, experience working with large datasets, and a deep understanding of consumer / small business lending. Any experience working with Credit Bureaus (consumer or commercial) is a strong plus.

Key Responsibilities :

- Lead the development of predictive models, data analytics, and machine learning solutions

- Develop and maintain large-scale datasets, and reports to inform business decisions

- Collaborate with cross-functional teams, including technology, data science and operations

- Stay up-to-date with industry trends, emerging technologies, and new methodologies in data science and machine learning

- Mentor junior data scientists and provide technical guidance on data science projects

Requirements :

- Master's in Computer Science, Statistics, Mathematics, Engineering or any other quantitative field

- 5+ years of experience in data science, with a focus on financial services

- Expertise in machine learning, predictive modeling, and data analytics

- Proficiency in programming languages such as Python, R, or SQL

- Experience working with large datasets, data visualization tools (e.g., Tableau, Power BI), and data manipulation libraries (e.g., Pandas, NumPy)

- Strong understanding of statistical modeling, data mining, and data visualization techniques

- Excellent communication and collaboration skills, with experience working with cross-functional teams

- Experience working with cloud-based data platforms (e.g., AWS, GCP, Azure)

What We Offer :

- Competitive salary and benefits package

- Opportunity to work with a leading AI/ML startup in the financial services space

- Collaborative and dynamic work environment

- Professional development opportunities and training

- Flexible work arrangements, including remote work options