Data Scientist

2 months ago

Bangalore, Karnataka, India Peepal consulting Full time

Responsibilities :


- Work with business partners globally to define the scope of the project, determine analyses to be performed, manage deliverables against timelines, present of results and implement the model.


- Use broad spectrum of NLP, Machine Learning and deep learning techniques to extract impactful features from unstructured data.


- Develop and implement models that help with automating the underwriting and pricing process;


- Ensure that the model is able to meet the desired KPIs postproduction.


- Be a thought leader and generate ideas / novel approaches to business problems.


- Stay abreast of the developments in the rapidly changing field of AI and machine learning.


- Handle stakeholder requests and perform work with little to no assistance.


- Mentor and coach junior team members and provide support on projects requiring advanced skill and domain expertise.


- Gain deeper understanding of Chubbs business and develop expertise on multiple lines of business.


Requirements :


- Sound understanding of ML concepts Probabilistic Models, Supervised vs Unsupervised Learning, Ensemble Techniques, Hyperparameter Optimization, and Deep Learning;


- Strong experience in developing and maintaining machine learning models.


- Proficient in Python with strong capabilities in data engineering, data transformation, data analysis and data visualization.


- Knowledge of R/SQL will be a plus.


- Good knowledge in machine learning tools and libraries (scikit-learn, h2o, R, MLlib, etc).


- 3-10 years programming experience in Python, including Numpy, Scipy, Pandas, Regex, Matplotlib and other machine learning libraries.


- Experience in visualization tools like Qlik, Power BI etc. will be an added advantage.


- Must have experience with data and machine learning services using Azure.


- Must have experience with Github and RESTful APIs.


- Knowledge/ Experience in Big data technologies will be an advantage.


- Should be able to work in a team setting to understand problems and map out solutions;


- Must have strong problem-solving skills.


- Multi-tasking along with strong organization and time management skills is essential.


- Should be adept at research and must look to apply new methodologies to varied situations.


- Strong communication and presentation skills.


- Must possess an advanced degree in data science, business analytics, computers, statistics, mathematics or economics

(ref:hirist.tech)

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