Data Scientist

ERNI; Manila; Hybrid; PHP 900,000 - 1,500,000; Full time

Benefits offered by this job

Baby Basket

Fruit Basket

Free snacks and coffee in the office

Training with Certifications

Promotions & Recognition

Hybrid Set-Up

Job summary

ERNI, a Swiss-founded software company with a strong APAC footprint, seeks a Senior Data Scientist in Metro Manila. You will design ML models, implement Generative AI applications, and build scalable data pipelines to support a bank-wide projection platform modernization on Azure.

You will translate complex findings for executives and collaborate across globally distributed teams. You will handle data validation, dashboards, and analytics while contributing to Agile projects and cross-functional

Qualifications

• Bachelor’s degree in Data Science, Statistics, IT, Engineering, CS or related field.
• At least five years of professional data science or analytics experience.
• Hands-on ML model design or implementation experience.
• Strong statistical analysis and modeling experience.
• Practical Generative AI experience in enterprise use cases.
• Proficiency in Python, R, and SQL.
• Experience building data pipelines and ETL processes.
• Experience creating dashboards/reports with Power BI.
• Familiarity with Azure or AWS cloud platforms.
• Data validation and data quality checks.
• Strong analytical thinking and problem solving.
• Experience in Agile teams and cross-functional collaboration.
• Excellent English writing and speaking skills.
• Strong data storytelling to business stakeholders and executives.
• Ability to work with globally distributed teams.

Responsibilities

• Design, develop, evaluate, and maintain ML models for business needs.
• Create Generative AI applications for enterprise use cases.
• Perform exploratory analysis, statistics, and modeling to uncover insights.
• Translate analytical findings for technical and non-technical stakeholders.
• Build and improve scalable data pipelines and ETL processes.
• Migrate financial projection logic to Python solutions.
• Integrate data from multiple sources via automated interfaces.
• Enhance data marts for projection results and analytics.
• Enable parallel computation of projection scenarios.
• Create interactive Power BI dashboards and reports.
• Collaborate with analysts, engineers, and stakeholders.
• Implement data validation and quality checks.
• Document analyses, reports, and recommendations.
• Participate in Agile activities and cross-functional teams.
• Communicate concepts to senior executives.

Skills

Python

R

SQL

Power BI

Machine Learning

Generative AI

Data Visualization

Data storytelling

Agile

Cloud platforms (Azure/AWS)

Data pipelines/ETL

English communication

Education

Bachelor’s degree in Data Science / Statistics / IT / Engineering / CS

Master’s degree in Data Science / AI / ML

Tools

Azure

AWS

Power BI

Job description

Job Description:

ERNI is a fast-growing Software Development company headquartered and founded in Switzerland in 1994, with more than 800 employees. We are highly specialized in IT & software engineering to enable and deliver innovation in process and technology. Our first service center in Asia Pacific is in Metro Manila (Mandaluyong) from where we provide our service to Europe, APAC incl. our local market Philippines, and USA regions. We are now geared towards expansion and are looking for highly motivated joiners.

WHY ERNI is the best place to call HOME?

• At ERNI, this is how we can support you; ALL company PERKS AND BENEFITS take effect UPON HIRING!
• Contract: there is always a project and opportunity for you.
• Personal Development and Travel Opportunities outside the Philippines.
• Baby Basket – to welcome your newborn to the ERNI family.
• Fruit Basket – boost of vitamins during hospitalization.
• Free snacks and coffee in the office

UNLOCKING NEW DOORS OF GROWTH & OPPORTUNITIES

• Free Training with Certifications: Grow with us through technical and non-technical training.
• Challenging Projects: ERNI is dedicated to developing high-quality software in complex technical environments such as MedTech, Industry, Finance, and Transportation. Have the chance to participate in various technically challenging projects amongst passionate and skilled colleagues.
• Employee Welfare: You will be guided by a group of people who will guide and support you to have the right tools and mindset.
• Promotions & Recognition: From the very first day, we offer you a way to learn and develop yourself in our company. Your colleagues and superiors consistently recognize and appreciate all efforts, making you feel satisfied with your achievements.
• Communication: You will find transparency, honesty, and open communication in our working culture. we value suggestions, opinions, and feedback from all employees.

FLEXIBILITY

• Hybrid Set-Up: We are combining both remote work and in-person work. The hybrid setup will allow you to reduce commuting time and have a more flexible work schedule. This will help you to manage better your work-life balance.

Events

• We provide many opportunities to connect and build relationships. We are learning, growing, and celebrating achievements together. You will experience a wide range of different exciting activities. What to expect? Leisure Events, Summer Events, Family Events, Social Events, and Year-End Events.

What are our wishes?

Required Qualifications

• Bachelor’s degree in Data Science, Statistics, Information Technology, Engineering, Computer Science, or another related discipline.
• At least five years of professional experience in data science, advanced analytics, or a closely related role.
• Hands-on experience designing or implementing machine learning solutions.
• Strong experience in statistical analysis and statistical modeling.
• Practical experience with Generative AI applications or solutions.
• Proficiency in Python, R, and SQL.
• Experience building and maintaining data pipelines and ETL processes.
• Experience creating dashboards, analytical reports, or interactive visualizations using Power BI.
• Familiarity with at least one major cloud platform, particularly Microsoft Azure or AWS.
• Demonstrated ability to perform data validation and implement data quality checks.
• Strong analytical thinking and structured problem-solving skills.
• Experience working within Agile teams and collaborating with cross-functional stakeholders.
• Excellent written and verbal communication skills in English.
• Strong data storytelling skills, including the ability to communicate complex findings to business stakeholders and senior executives.
• Ability to work effectively with globally distributed and culturally diverse teams.

Preferred Qualifications

• Master’s degree or other advanced qualification in Data Science, Statistics, Artificial Intelligence, Machine Learning, Computer Science, Engineering, or a related field.
• Relevant professional certifications in machine learning, artificial intelligence, data science, cloud technologies, or analytics.
• Experience modernizing legacy analytical models implemented through Excel formulas or VBA.
• Experience working with financial projections, financial modeling, treasury data, balance sheet analytics, income projections, key financial ratios, or similar quantitative domains.
• Experience working with the Microsoft Azure data ecosystem.

How can you contribute to the team?

We are looking for a Senior Data Scientist who will design and implement advanced analytics solutions, including machine learning models and Generative AI applications. The role combines data science, data engineering, statistical analysis, and data visualization to help stakeholders generate actionable insights and make data-driven decisions. The successful candidate will contribute to the modernization of a bank-wide financial projection platform. The initiative involves transforming existing Excel, VBA, and Oracle-based processes into a scalable architecture built on the Azure data ecosystem and customized Python solutions.

What You Will Do

• Design, develop, evaluate, and maintain machine learning models that address defined business and analytical requirements.
• Design and implement Generative AI applications for appropriate enterprise use cases.
• Perform exploratory data analysis, statistical analysis, and statistical modeling to identify patterns, relationships, risks, and actionable insights.
• Translate analytical findings into clear recommendations for technical and non technical stakeholders.
• Build, maintain, and improve scalable data pipelines and ETL processes.
• Support the migration of financial projection logic currently implemented through Excel formulas and VBA into maintainable Python solutions.
• Integrate data from multiple source systems through automated interface jobs.
• Support the modernization and enhancement of existing data marts to accommodate projection results, assumptions, and related analytical information.
• Help enable parallel computation of financial projection scenarios.
• Create interactive dashboards, reports, and data visualizations using Power BI.
• Work with business stakeholders, data analysts, analytics engineers, and other technical teams to understand data requirements and translate them into effective solutions.
• Implement data validation, reconciliation, and quality checks to maintain data accuracy and integrity.
• Prepare comprehensive technical documentation, analytical reports, insights, and recommendations.
• Participate actively in Agile activities and collaborate with cross-functional project teams.
• Communicate analytical concepts and results effectively to senior executives and stakeholders from diverse cultural backgrounds.
• Keep current with relevant developments in machine learning, Generative AI, analytics engineering, cloud data platforms, and data visualization.
• Perform other relevant responsibilities assigned by the Project Manager or designated project stakeholders.

Work Arrangement

• RTO 3x, WFH 2x a week
• 8:00 AM - 5:00 PM (Mon-Fri)

We deliberately focus on what we know best.

• 18 Locations in 8 Countries
• 800+ Employees across the Globe
• ISO Certified

Requirements: