Senior Content Analytics & Data Insights Lead

LSEG; Taguig; Vor Ort; PHP 900.000 - 1.600.000; Vollzeit

Zusammenfassung

London Stock Exchange Group (LSEG) invites a Senior Associate Data Scientist to Manila. You will design and implement quantitative models, automate entity data pipelines and provide analytics that improve existing processes and product performance.

You will use Python, SQL, and ML libraries, build dashboards, and explain insights to both technical and non-technical stakeholders. A background in statistics or mathematics with data science certification and Lean Six Sigma exposure is preferred.

Qualifikationen

• Proven experience in building quantitative models and analytics pipelines.
• Strong Python and data processing skills with ML libraries.
• Experience with large data sets, data handling and visualization.
• Ability to communicate insights to technical and non-technical audiences.
• Lean Six Sigma certification (green/black belt) and project management exposure.

Aufgaben

• Data handling, data processing and programming.
• Develop and implement automated solutions for sourcing/loading Entity data into Database.
• Analyse Legal entity content to establish patterns/trends.
• Develop, improve and run quantitative models.
• Generate solutions through machine learning for core processes.
• Work with business, content and product groups for large-scale analytics problems.
• Develop strong proof-of-concepts (POCs), visualizations and pipeline tools for product design and development.
• Work with development groups for deployment of analytics solutions.
• Collaborate with cross-functional teams as needed, with supervision.

Kenntnisse

Python

Power Apps

SQL

Scikit-learn

NumPy

Pandas

Jupyter

Data storytelling

Six Sigma

Dashboards

Ausbildung

Bachelor's degree in Statistics or Mathematics or Engineering (Data Science cert)

Tools

SQL

Power Apps

Jobbeschreibung

London Stock Exchange Group (LSEG) invites a Senior Associate Data Scientist to Manila. You will design and implement quantitative models, automate entity data pipelines and provide analytics that improve existing processes and product performance.

You will use Python, SQL, and ML libraries, build dashboards, and explain insights to both technical and non-technical stakeholders. A background in statistics or mathematics with data science certification and Lean Six Sigma exposure is preferred.