Senior Content Analytics & ML Scientist

LSEG Business Services RM; Taguig; On-site; PHP 900,000 - 1,400,000; Full time

Benefits offered by this job

Healthcare

Retirement planning

Paid volunteering days

Wellbeing initiatives

Job summary

London Stock Exchange Group (LSEG) Information is seeking a Senior Associate Data Scientist in Metro Manila to design and deploy quantitative models and machine-learning solutions supporting finance content and processes. You will work across business, content and product teams to deliver scalable analytics and dashboards.

The role emphasizes data handling, large-scale analytics, and storytelling to stakeholders, with a commitment to quality and continuous improvement across global operations.

Qualifications

• Higher education in Statistics, Mathematics or Engineering in Computer Science with Data science certification.
• Lean Six Sigma green/black belt with practical experience in Lean Project Management is a plus.
• Proven ability to build dashboards and analytics pipelines for business decisions.

Responsibilities

• Data handling, processing and programming.
• Develop and implement automated data sourcing/loading solutions.
• Analyse entity content to identify patterns/trends.
• Develop, improve and run quantitative models.
• Generate machine-learning based solutions for core processes.
• Collaborate with cross-functional teams on analytics problems.
• Create proofs-of-concept, visualizations and pipelines for product design.
• Coordinate with development groups for deployment of analytics solutions.

Skills

Python

SQL

Power Apps

Scikit-learn

NumPy

Pandas

Jupyter

R

Data storytelling

Statistics

Large data handling

Dashboarding

Communication

Lean Six Sigma

Education

Statistics/Mathematics/Engineering with Data science certification

Tools

Jupyter

Relational databases

Power Apps

Job description

London Stock Exchange Group (LSEG) Information is seeking a Senior Associate Data Scientist in Metro Manila to design and deploy quantitative models and machine-learning solutions supporting finance content and processes. You will work across business, content and product teams to deliver scalable analytics and dashboards.

The role emphasizes data handling, large-scale analytics, and storytelling to stakeholders, with a commitment to quality and continuous improvement across global operations.