Join Grabs global Data Science team supporting the Financial Technology offerings specifically the Lending services.
You will report to a Senior Manager in the Data Science team and would work onsite based in Bangalore.
The Critical Tasks You Will Perform
- Build predictive models using a mix of machine learning and traditional analytics methods.
- Validate models on new datasets based on in-market performance.
- Engineer predictive features from internal data assets to build refined customer profiles. Identify external data assets to bring into the model mix.
- Solve previously unsolved analytics problems using the best data analytics and machine learning methodologies.
- Work backwards to conceptualise and design analytic model frameworks to solve business problems.
- Build dashboards for model key performance Indicators.
Qualifications :
Qualifications
Mandatory Requirements:
- A total of 2 to 4 years of experience building machine learning and predictive models in Python and Spark
- Proficiency in SQL Presto and Hive.
- Sound knowledge of Illustrative machine learning concepts such as Bagging Boosting Regularisation Online Learning Recommendation Engines
- Expertise in feature creation on a variety of data types.
- Demonstrated experience building machine learning models
Desirable Requirements:
- Experience with LLMs and Generative AI
- Understanding of the trade-offs between model performance and business requirements.
Additional Information :
Life at Grab
We care about your well-being at Grab here are some of the global benefits we offer:
- We have your back with Term Life Insurance and comprehensive Medical Insurance.
- With GrabFlex create a benefits package that suits your needs and aspirations.
- Celebrate moments that matter in life with loved ones through Parental and Birthday leave and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
- We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges.
What we stand for at Grab
We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer we consider all candidates fairly and equally regardless of nationality ethnicity religion age gender identity sexual orientation family commitments physical and mental impairments or disabilities and other attributes that make them unique.
#LI-DNI
Remote Work :
No
Employment Type :
Full-time
Join Grabs global Data Science team supporting the Financial Technology offerings specifically the Lending services. You will report to a Senior Manager in the Data Science team and would work onsite based in Bangalore. The Critical Tasks You Will Perform Build predictive models using a mix of machi...
Join Grabs global Data Science team supporting the Financial Technology offerings specifically the Lending services.
You will report to a Senior Manager in the Data Science team and would work onsite based in Bangalore.
The Critical Tasks You Will Perform
- Build predictive models using a mix of machine learning and traditional analytics methods.
- Validate models on new datasets based on in-market performance.
- Engineer predictive features from internal data assets to build refined customer profiles. Identify external data assets to bring into the model mix.
- Solve previously unsolved analytics problems using the best data analytics and machine learning methodologies.
- Work backwards to conceptualise and design analytic model frameworks to solve business problems.
- Build dashboards for model key performance Indicators.
Qualifications :
Qualifications
Mandatory Requirements:
- A total of 2 to 4 years of experience building machine learning and predictive models in Python and Spark
- Proficiency in SQL Presto and Hive.
- Sound knowledge of Illustrative machine learning concepts such as Bagging Boosting Regularisation Online Learning Recommendation Engines
- Expertise in feature creation on a variety of data types.
- Demonstrated experience building machine learning models
Desirable Requirements:
- Experience with LLMs and Generative AI
- Understanding of the trade-offs between model performance and business requirements.
Additional Information :
Life at Grab
We care about your well-being at Grab here are some of the global benefits we offer:
- We have your back with Term Life Insurance and comprehensive Medical Insurance.
- With GrabFlex create a benefits package that suits your needs and aspirations.
- Celebrate moments that matter in life with loved ones through Parental and Birthday leave and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
- We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges.
What we stand for at Grab
We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer we consider all candidates fairly and equally regardless of nationality ethnicity religion age gender identity sexual orientation family commitments physical and mental impairments or disabilities and other attributes that make them unique.
#LI-DNI
Remote Work :
No
Employment Type :
Full-time
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