Senior Data Scientist - ML, Forecasting & Data Engineering

Socium - Teams Done Differently; Metro Manila; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

Socium - Teams Done Differently is seeking a seasoned Data Science Consultant to join a long-term project, delivering data-driven solutions that solve complex business challenges and create measurable impact.

You will translate business problems into practical data science solutions, applying ML, predictive modelling, and data engineering, while engaging stakeholders and communicating insights across banking domain contexts.

Qualifications

• 4+ years of experience in Data Science, ML, Advanced Analytics, or related field.
• Strong hands-on experience with Python and SQL.
• Experience developing and deploying machine learning and predictive models.
• Strong knowledge of regression, classification, clustering, forecasting, recommender systems, and statistical modelling.
• Experience building and working with data pipelines and large datasets.
• Exposure to Azure and/or AWS.
• Experience with Apache Spark or similar distributed processing technologies.
• Experience with Power BI, Tableau, or other data visualization tools.
• Understanding of the end-to-end ML lifecycle, including model development, validation, deployment, monitoring, and retraining.
• Strong stakeholder management, communication, and data storytelling skills.
• Experience within banking or financial services, particularly across credit risk, financial crime, fraud, collections, or customer analytics, would be highly advantageous.
• Referrals are also welcome if you know someone who could be a strong fit.

Skills

Python

SQL

Machine Learning

Predictive Modelling

Data Engineering

Azure

AWS

Apache Spark

Power BI

Tableau

Stakeholder Management

Data Storytelling

Tools

Azure

AWS

Apache Spark

Job description

Socium - Teams Done Differently is seeking a seasoned Data Science Consultant to join a long-term project, delivering data-driven solutions that solve complex business challenges and create measurable impact.

You will translate business problems into practical data science solutions, applying ML, predictive modelling, and data engineering, while engaging stakeholders and communicating insights across banking domain contexts.