Data Scientist developing machine learning algorithms and solving modeling challenges at a data analytics firm situated in Bengaluru, India. Collaborating with teams to provide data - driven solutions.
About the role
- Data Scientist developing AI models within the Data & Risk team at Optasia. Enhancing financial technologies through data-driven decision making and collaboration with stakeholders.
Responsibilities
- Design, develop and implement statistical and machine learning models that support risk management, pricing and data-driven decisioning.
- Build and maintain models that operate on large-scale datasets and support core product and risk decisions.
- Perform in-depth analysis on financial products to improve model performance and business outcomes.
- Contribute to the development of model monitoring, validation and performance tracking frameworks.
- Identify and evaluate key model drivers and assumptions using large and complex datasets.
- Collaborate closely with data scientists, quantitative risk experts and data & machine learning infrastructure engineers within the Data & Risk department.
- Monitor model performance and support continuous optimization and recalibration.
Requirements
- Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Finance, Computer Science or a related quantitative field.
- 2–4 years of experience in Data Science, Machine Learning or applied analytics.
- Solid understanding of statistical modeling and machine learning techniques.
- Strong programming skills in Python and SQL.
- Experience working with large datasets and production-oriented data pipelines.
- Strong analytical and problem-solving skills with attention to detail.
- Ability to translate business and risk problems into AI-driven solutions.
- Strong communication skills and ability to work in collaborative, cross-functional teams.
- Results-driven with strong ownership mentality.
- Curious, proactive and eager to learn.
- Comfortable working in fast-paced, dynamic environments.
- Strong sense of responsibility and analytical rigor.
Benefits
- Flexible hybrid working
- Competitive remuneration package
- Extra day off on your birthday
- Performance-based bonus scheme
- Comprehensive private healthcare insurance
- All the tech gear you need to work smart
- Be a part of a multicultural working environment
- Meet a very unique and promising business and industry
- Gain insights for tomorrow market’s foreground
- A solid career path within our working family is ready for you
- Continuous training and access to online training platforms
- CSR activities and festive events within any possible occasion
- Enjoy comfortable open space restaurant with varied meal options every day
- Wellbeing activities access such as free on-site yoga classes, plus available squash court on our premises
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
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