Senior Data Scientist
Bengaluru, India
Grab
Grab is Southeast Asia’s leading superapp. It provides everyday services like Deliveries, Mobility, Financial Services, and More.Company Description
Life at Grab
At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.
Job Description
Life at Grab
At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.
Get to know the Team
Grab Financial’s Lending business is focused on micro credit and loan products to drivers, and merchants of the Grab ecosystem. Over the last 4 years this business has matured into a significant profit lever for Grab. The business brings together leading experts in Fintech Lending across teams and business verticals. Lending operations span currently 6 countries in SE Asia (SG, MY, VN, PH, ID, TH) with a regional and country team structure to look after respective responsibilities.
Get to know the Role
This role is based out of Bangalore with the Data Science team. Lending Data Science team operates out of Singapore as part of Grab Financial’s Engineering organization. As we grow the loan portfolios, there is a need to set up an new and extended Data Science team, at Grab’s Bangalore office.
We are incredibly excited about this opportunity. In this role as Data Scientist, Grab Financial, you are expected to be hands-on with machine learning modeling in Spark and Python. You should have had prior experience building such models in production environments and managing those production pipelines on a daily basis. You should be absolutely comfortable with production jobs, on-call, deep end coding and working with engineering teams to provide ML service backends. This role also requires good understanding of the domain of Lending and credit scoring or the ability to quickly ramp up on the domain aspects of the business.
The role will report to Manager Data Science who will be based out of Bangalore.
The Day-to-Day Activities
Develop a deep behavioral understanding and intuition of our drivers, agents and merchants to build predictive models for credit risk, collections, SME analytics and other business and data science needs for Grab Financial Lending business.
Manage and own the entire end-to-end lifecycle of building and validating predictive models along with their deployment and maintenance.
Interface with business, risk & operation teams to formulate solutions & product changes informed by your findings and business inputs/reality, esp. for Collections and SME risk analytics.
Individual contributor role with 4-8 years of experience. Candidates will be aligned appropriately within the organization depending on experience and depth of knowledge.
The day-to-day activities: 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 best in class data analytics and machine learning methodologies.
Build and maintain visualization dashboards for model performance KPIs.
The Must-Haves
Expert in building machine learning and predictive models in Python and Spark.
SQL / Presto / Hive proficiency.
Sound knowledge of machine learning concepts. Illustrative machine learning concepts/methods are: Bagging, Boosting, Regularisation, Online Learning, Recommendation Engines etc.
Sound knowledge of statistical modelling methods. For e.g. CHAID CART, Regressions, SVD, PCA etc.
Expert in feature creation on a variety of data types.
Professional experience in building machine learning analytics model development
Strong problem-solving mindset is critical for success in this role.
Self-motivated, independent learner, and enjoy sharing knowledge with team members
Understanding of the domain of Credit and Lending will be a big advantage
Our Commitment
We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.
Additional Information
Our Commitment
We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Credit risk Data Analytics Engineering FinTech KPIs Machine Learning ML models Pipelines Python Spark SQL Statistics
Perks/benefits: Career development Team events
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Business Intelligence Engineer jobs
- Open Lead Data Analyst jobs
- Open Power BI Developer jobs
- Open Data Engineer II jobs
- Open Senior Business Intelligence Analyst jobs
- Open Marketing Data Analyst jobs
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open Junior Data Scientist jobs
- Open Business Intelligence Developer jobs
- Open Business Data Analyst jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Data Analyst Intern jobs
- Open Sr Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Data Engineering Manager jobs
- Open Junior Data Engineer jobs
- Open Big Data Engineer jobs
- Open Research Scientist jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Data quality-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open NLP-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open LLMs-related jobs
- Open APIs-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Snowflake-related jobs
- Open Consulting-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Airflow-related jobs