Senior Data Scientist
Senior Data Scientist
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Job Description
Get to know the team
GrabFin is an aggregate of FinTech businesses spread across 6 countries in S.E. Asia in the Lending Payments and Insurance domains. We are excited to provide innovative financial services to all participants of the Grab Ecosystem be it our Drivers Consumers or Merchants. Our products are built on fundamental market insights combined with data science and engineering to bring the best product market fit across the cross section of our user base. This understanding of our ecosystem combined with world class engineering continues to create tremendous value for our customers.
The data scientist will work in a relatively flat team structure with an independent goal of building and manage critical data science models daily. You can expect to solve hard technical problems and grow into an expert on both batch and real time Data Science use cases. You have passion for technology and data science.
You will be reporting to Senior Manager Data Science.
This role is onsite based in Bangalore.
Get to know the role
As a Machine Learning Engineer you will build scalable and productiongrade ML systems across domains like payments lending and insurance. Youll develop predictive models using a blend of machine learning and deep learning techniques. You will engineer highquality features from diverse data sources validating model performance on realworld datasets and implementing pipelines using tools like Python Spark and SQL. Youll collaborate with data scientists product managers and engineers to translate our needs into ML solutions. A foundation in ML concepts handson coding ability and efficiently are key to succeeding in this role.
The Critical Tasks You Will Perform
- Build and deploy scalable ML models using Python Spark and cloudnative tools.
- Develop data pipelines and feature stores to support model training and inference.
- Validate models on new datasets based on inmarket performance.
- Engineer predictive features from internal data assets to build refined customer profiles. Identify external data assets to bring into the model mix.
- Identify model gaps or performance drifts and lead model refresh cycles.
- Present findings to senior leadership with clear articulation of risk tradeoffs and growth.
- Translate model insights into strategic recommendations (e.g. policy changes pricing levers customer targeting strategies).
- Work with crossfunctional teams to gather requirements and align ML solutions with product goals.
- Debug and improve models based on performance drifts or unexpected outcomes.
Qualifications :
The Essential Skills You Need
- This is an individual contributor role suited for professionals with 4 to 7 years of experience.
- Coding skills in Python for ML model development and pipeline automation
- Proficiency in Spark SQL and distributed data processing
- Solid grasp of ML concepts like feature engineering model tuning and evaluation metrics
- Experience working with ML/DL libraries (scikit learn XGBoost TensorFlow/PyTorch)
- Familiarity with MLOps tools (Hive Pyspark Airflow) for deploying and maintaining models
- Experience on LLMs and Generative AI.
- Work with structured and unstructured data and build clean reusable feature pipelines
- Comfortable with Git and CI/CD best practices
- Problemsolving and debugging skills
- Work with crossfunctional teams and explain model behaviour
Additional Information :
Life at Grab
We care about your wellbeing 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 LoveallServeall (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.
#LIDNI
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
