Data Scientist II

About Apex

Apex Group Ltd., established in Bermuda in 2003, is a global financial services provider. With over 80 offices in 70 countries and more than 12,000 employees, Apex delivers a comprehensive range of services to asset managers, financial institutions, private clients, and family offices.

Apex Group offers a unique single-source solution across fund services, digital onboarding and bank accounts, depositary, custody, ManCo services, corporate solutions (including HR and payroll), and pioneering ESG Ratings and Advisory services. We are committed to driving positive change in the areas of climate and environment, women's empowerment, and social mobility through education and economic independence.

At Apex, it's not just about the work—it's about the people. Our culture emphasizes collaboration, continuous growth, and rewarding loyalty. With our global reach, employees have access to opportunities for both short- and long-term international assignments.

Role Overview

We are looking for a highly skilled and experienced Data Scientist to join our growing Data Office team. This role involves uncovering valuable insights from complex datasets, building predictive models, and driving data-informed decisions across the business. You will collaborate with multiple stakeholders to design innovative solutions that enhance products, services, and operational efficiency.

Key Responsibilities

• Analyze large, structured, and unstructured datasets to identify trends and actionable insights.
• Design and implement statistical models, algorithms, and machine learning solutions.
• Work closely with stakeholders to translate business challenges into data-driven solutions.
• Build and deploy predictive models to optimize business processes and improve customer experience.
• Conduct experiments, evaluate model performance, and validate assumptions.
• Clearly communicate complex analytical findings to technical and non-technical audiences.
• Stay updated with industry advancements in AI, ML, and data science technologies.
• Support integration of data science solutions into broader systems and business processes.
• Mentor junior data scientists and foster continuous learning within the team.

Required Qualifications & Skills

• Bachelor's degree in Mathematics, Statistics, Computer Science, Economics, or a related field (Master's degree preferred)
• Strong proficiency in Python for statistical analysis and machine learning
• In-depth knowledge of statistical methods, hypothesis testing, and experimental design
• Hands-on experience with machine learning techniques: classification, regression, clustering, recommendation systems
• Proficiency in SQL and experience with relational databases and data warehouses (e.g., Snowflake)
• Skilled in data visualization using Tableau, Power BI, or similar tools
• Experience in data preprocessing, feature engineering, and dimensionality reduction
• Strong problem-solving and critical thinking abilities
• Excellent verbal and written communication skills
• Ability to work independently and collaboratively in an agile environment
• Familiarity with cloud platforms, ideally Azure and Databricks

Desirable Skills

• Experience in natural language processing (NLP) and text analytics
• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch)
• Knowledge of causal inference, optimization techniques, and operations research
• Understanding of data governance and privacy frameworks (e.g., GDPR, CCPA)
• Hands-on experience with Azure services: Azure Storage, Azure Data Factory, Synapse Analytics, Azure Databricks, Azure ML
• Knowledge of serverless architectures and cloud-based data processing
• Awareness of cloud security and data protection best practices

ShoreXtra Perks:

• Highly engaged team
• Unlimited potential for growth
• Challenging role
• Fun and family-oriented working environment
• Silver level referral bonus

Work Set Up:

• Onsite/Work from home/Hybrid
• Monday to Friday

Job Types: Full-time, Permanent

Pay: Php100, Php140,000.00 per month

Benefits:

• Health insurance
• Life insurance
• Paid training
• Work from home

Experience:

• Python: 5 years (Preferred)
• Hypothesis Testing: 5 years (Preferred)
• SQL: 5 years (Preferred)
• Snowflake: 5 years (Preferred)
• Tableau: 5 years (Preferred)
• PowerBI: 5 years (Preferred)
• Azure: 5 years (Preferred)
• Databricks: 5 years (Preferred)

Work Location: In person