Swiss Re is hiring for the position of Junior Data Scientist in Bangalore, India. Candidates with a Bachelor’s/ Master’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | Swiss Re |
| Position | Junior Data Scientist |
| Qualifications | Bachelor’s/ Master’s Degree |
| Batch | Recent Batches |
| Experience | 1 – 4 (Years) |
| Location | Bangalore, India |
Key Responsibilities:
Data Understanding & Driving Insights
- Collaborate with senior team members to develop a clear and independent perspective on internal and external data, accompanied by effective visualizations and actionable recommendations.
- Understand business requirements and translate them into impactful technical specifications.
Advanced Data Analytics:
- Assist senior team members in building data science solutions, which include:
- Developing, validating, deploying, and maintaining machine learning models.
- Creating interactive dashboards using Palantir Foundry.
- Presenting findings and persuading the business using explainability and other techniques.
- Demonstrate a willingness to learn and apply generative AI techniques to uncover insights and trends for risk selection, differentiation, and cost improvements.
Eligibility Criteria:
- Hold a Bachelor’s or Master’s degree in Data Science, IT, Mathematics, Statistics, or equivalent fields.
- Completed a data science course certification.
Professional Experience:
- Possess a minimum of 1-4 years of experience in Data Science. Familiarity with big data technologies or platforms such as Azure, Databricks, or Palantir Foundry is a plus.
- Demonstrated experience in building machine learning models, predictive and statistical modeling, time series forecasting, regression, and classification. Knowledge of generative AI and large language models (LLMs) is an additional advantage.
- Reasonably familiar with building data engineering pipelines and data wrangling techniques.
Technical Skills:
- Exhibit strong problem-solving and analytical skills, with the ability to translate data insights into effective visualizations for impactful communication.
- Have applied these skills using real business data to develop insights and practical solutions.
- Possess a good understanding of advanced machine learning methods, hyperparameter tuning, and techniques to avoid overfitting.
- Proficient in statistical programming languages (e.g., Python, R for Data Science) and SQL.
- Capable of quickly learning big data platforms such as Azure Databricks or Palantir Foundry.
Personal Skills:
- Highly motivated to deliver high-quality results on time.
- Effective in articulating and communicating work, comfortable presenting to senior team members and leaders.
- Committed to the collective success of the team, collaborating closely with senior members. Demonstrate openness, dependability, and intercultural competence.
About Company:
The Swiss Re Group is a leading wholesale provider of reinsurance, insurance and other insurance-based forms of risk transfer. Dealing direct and working through brokers, its global client base consists of insurance companies, mid-to-large-sized corporations and public sector clients. From standard products to tailor-made coverage across all lines of business, Swiss Re deploys its capital strength, expertise and innovation power to enable the risk taking upon which enterprise and progress in society depend.
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