Data Scientist
Budget: ₹75,000 – ₹150,000 INR
Experience:- 3-5 yrs exp.
Timezone - Philippines
Data Scientist
The Data Scientist will work with a cross-functional team to uncover solutions using data in order to increase revenue, reduce costs, improve quality and performance, and manage risks while ensuring compliance with applicable regulation, laws, or internal guidelines of the bank.
What You’ll Do
• Individual contributor role who should be able to exercise functional leadership over other data scientists that s/he might work with in UBP or other party.
• Facilitate the data science lifecycle from data collection to model deployment in collaboration with relevant stakeholders and partners
• Utilize a variety of modeling tools, statistical analysis, and artificial algorithms including Machine Learning and Deep Learning in developing solutions and reliable and risk-free models to guide business decision-making and implementation
• Articulate results of analytical models and recommendations on business plans and strategies, product offering, policies, and financials across different community cohorts to stakeholders
• Develop engines that synergize and optimize decisioning from product scores, propensity scores, profitability scores, cost, among other variables.
• Analyze, aggregate, and understand community behaviors, preferences, and profitability through supervised and unsupervised segmentation techniques to inform business strategies and decisions, product offerings, and community-level interventions
Who You Are
• At least 3 years experience, hands on experience role focusing on data science, business analytics, and marketing optimization in banking and financial services or related industry
• Has proven track record in developing analytical and implementation frameworks and designing tests
• Has knowledge of SAS, R, Python, Visual Basic, MySQL, Power BI, Tableau, and Machine Learning
• Has excellent organizational, communication, presentation, project management and analytical skills
• Master’s degree in Data Science/Analytics or relevant professional certifications, highly preferred
Timezone - Philippines
Data Scientist
The Data Scientist will work with a cross-functional team to uncover solutions using data in order to increase revenue, reduce costs, improve quality and performance, and manage risks while ensuring compliance with applicable regulation, laws, or internal guidelines of the bank.
What You’ll Do
• Individual contributor role who should be able to exercise functional leadership over other data scientists that s/he might work with in UBP or other party.
• Facilitate the data science lifecycle from data collection to model deployment in collaboration with relevant stakeholders and partners
• Utilize a variety of modeling tools, statistical analysis, and artificial algorithms including Machine Learning and Deep Learning in developing solutions and reliable and risk-free models to guide business decision-making and implementation
• Articulate results of analytical models and recommendations on business plans and strategies, product offering, policies, and financials across different community cohorts to stakeholders
• Develop engines that synergize and optimize decisioning from product scores, propensity scores, profitability scores, cost, among other variables.
• Analyze, aggregate, and understand community behaviors, preferences, and profitability through supervised and unsupervised segmentation techniques to inform business strategies and decisions, product offerings, and community-level interventions
Who You Are
• At least 3 years experience, hands on experience role focusing on data science, business analytics, and marketing optimization in banking and financial services or related industry
• Has proven track record in developing analytical and implementation frameworks and designing tests
• Has knowledge of SAS, R, Python, Visual Basic, MySQL, Power BI, Tableau, and Machine Learning
• Has excellent organizational, communication, presentation, project management and analytical skills
• Master’s degree in Data Science/Analytics or relevant professional certifications, highly preferred