C

Junior Data Scientist

ChubbBangalore, Karnataka, India• India4h ago
onsitefull-timeentry
36 views22 applicants
đź’Ľ Competitive Salary

Job Description

Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb employs approximately 43,000 people worldwide. Additional information can be found at: www.chubb.com. About Chubb India At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We are proud to share that we have been officially certified as a Great Place to Work® for the third consecutive year, a reflection of the culture at Chubb where we believe in fostering an environment where everyone can thrive, innovate, and grow. With a team of over 2500 talented professionals, we encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape. We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning. Position Details: Function/Department: Advanced Analytics Location: Bangalore, India Employment Type: Full-time Role Overview – Junior Data Scientist 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 post production 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 Qualifications 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. Basic knowledge on 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) Solid knowledge in Python programming, including Numpy, Scipy, Pandas, Regex, Matplotlib and other machine learning libraries Basic knowledge in visualization tools like Qlik, Power BI etc. will be an added advantage 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

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.
  • Basic knowledge on 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)
  • Solid knowledge in Python programming, including Numpy, Scipy, Pandas, Regex, Matplotlib and other machine learning libraries
  • Basic knowledge in visualization tools like Qlik, Power BI etc. will be an added advantage
  • 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

Key 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 post production
  • 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
  • Qualifications
  • 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.

About Chubb

AI-POWERED

Resume Reviewer

Transform your resume with AI-powered insights and land your dream job

98%
Match Rate
3x
More Interviews
ATS-friendly optimization
Instant feedback & scoring
Industry-specific suggestions
Professional formatting tips
Analyze My Resume
Free to use
Instant results

Trending Jobs

v

Associate Data Engineer, Associate Data Scientist

v4c.ai
Bangalore
Competitive Salary
1w ago0
L

AI/ML Engineer

Larsen & Toubro
Mumbai
Competitive Salary
2w ago0
O

Associate AI/ML Engineer

Optum
Bengaluru, Karnataka
Competitive Salary
1mo ago0

Ready to Start Your Journey?

Join thousands of professionals who found their dream job through our platform.