Data Scientist- Python, Machine Learning, Statistical Modelling- (4-6 years) Mumbai

Discipline: Data Science/Machine Learning, Analytics
Job type: Permanent
Contact name: Chakshu Sharma

Contact email:
Job ref: 37300
Published: about 1 year ago

We are looking for a professional having more than 4 years of experience. Someone having hands-on experience in Python, Machine Learning techniques and Statistical Modelling is the right fit for the job.

Location- Mumbai

Your Future Employer- A Global Leader in Insurance, Reinsurance, and Risk Management.


  • Mine and analyze data to drive optimization and improvement of product development and implementation of business strategies

  • Assess the need, effectiveness, and discovery of new data sources and data gathering techniques through extensive research

  • Develop custom data models and algorithms from scratch to enhance the current value proposition and new product developments

  • Apply state-of-the-art advanced analytics, quantitative tools, and modeling techniques to interpret, make inferences, and offer recommendations based on insights from the data

  • Visualize the hypothesis and inferences from data using JavaScript, Tableau, PowerBI, etc., and create a convincing storyline, which will be influential in implementing business strategies.

  • Apply state-of-the-art NLP techniques for text processing, sentiment analysis, text classification, etc.

  • Work in a diverse environment by partnering with various Marsh teams to implement models and monitor outcomes

  • Develop risk models related to Time Series Forecasting, Clustering, GLM/Regression, Boosting, Trees, etc.

  • Develop processes and tools to monitor and analyze model performance and data accuracy

  • Communicate the solution, its parameters, its assumptions, and its inner workings to audiences who vary widely in their levels of technical fluency and seniority




  • We’re looking for someone with 3 to 5 years of experience building statistical models and associated data architectures.

  • Bachelor’s / Master’s in Statistics, Mathematics, Computer Science, or another Engineering and quantitative field.

  • Strong problem-solving skills with an emphasis on research & product development.

  • Knowledge and demonstrated experience of advanced statistical techniques, concepts, and applications - Stochastic Modelling, GLM / Regression, Random Forest, Boosting, Trees, Text Mining, Social Network Analysis, etc.

  • Experience in delivering outputs through Visualization using Python, JavaScript, and Tableau.

  • Ability to apply and advise on state-of-the-art advanced analytic and quantitative tools and modeling techniques in order to derive business insights, solve complex business problems and improve decisions.

  • Expert level proficiency in statistical and computer languages like Python, R (good to have) SQL, etc.

  • Strong knowledge of statistics along with experience in predictive and descriptive modeling techniques.

  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

  • Experience in querying databases.


What is in it for you-

  • A stimulating working environment with equal employment opportunity

  • Growing skills while working with industry leaders and top brands

  • A meritocratic culture with great career progression



Reach us-If you feel that you are the right fit for the role please share your updated CV at



Disclaimer- Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Profile Keywords- Data Science, Regression, Random Forest, Boosting, Trees, Text Mining, Clustering, Machine Learning, Data Scientist, Crescendo Global.