Data Scientist - 7 To 10 Years - Gurgaon

Crescendo Global Leadership Hiring India; Gurugram District; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

Crescendo Global Leadership Hiring India is seeking a Data Scientist to join our Analytics team in Gurugram. The role partners with underwriters, product, finance and technology to build advanced analytics and ML solutions that strengthen pricing and risk models across insurance.

You will work with data scientists, actuaries and business analysts, leverage Python, R and SQL to acquire, transform and model data, deploy models, and monitor performance.

Qualifications

• Advanced degree (Masters or Ph.D.) in a quantitative discipline.
• Experience with data acquisition, transformation and modeling.
• Proficiency in Python, R and SQL for analytics.
• Knowledge of ML methods, NLP and time series.

Skills

Python

R

SQL

NLP

Machine Learning

Education

Master's or Ph.D. in quantitative field

Tools

Python

R

SQL

NoSQL

APIs

Job description

The Data Scientist is a key role in the Analytics team which brings together data scientists, actuaries and business analysts to partner with colleagues across Underwriting, Product, Finance, and Technology to develop advanced analytics and machine learning solutions that strengthen underwriting models, risk selection, pricing, and pricing strategy across Insurance.

Skills and expertise required:

• Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines.

Applied experience with several of the following:

• Data Acquisition and Transformation: Acquiring data from disparate data sources using APIs, SQL and NoSQL. Transform data using SQL, NoSQL, and Python. Visualizing data using a diverse tool set including but not limited to Python and R.
• Model Deployment: Understanding of: MDLC (Model Development Life Cycle), CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness etc.), A/B testing.
• Statistics and Computing: Exceptional understanding of: Calculus, Multivariable Calculus, Linear Algebra, Differential Equations, Probability, Statistics, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, Bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems
• Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, and monitoring machine learning models. Understanding and expertise in NLP (natural language processing).
• Programming Languages: Python, R, SQL,