Data and AI Associate

PwC Philippines; Makati; On-site; PHP 600,000 - 900,000; Full time

Job summary

PwC Philippines is seeking a data science professional to develop ML models and advanced statistical analyses to identify trends in large data sets.

You will explore data, design experiments, and deliver data-driven recommendations and insights to support business challenges across practice areas, with emphasis on data cleaning, ETL, and storytelling.

Qualifications

• Undergraduate or graduate degree in statistics, mathematics, computer science, or related field.
• At least 1 year of relevant work experience.

Responsibilities

• Develop machine learning models and algorithms to identify trends in data.
• Develop and test hypotheses for data-driven business solutions.
• Provide data-driven recommendations and actionable insights.
• Lead integration of data science in various practice areas.
• Perform exploratory data analysis (EDA).
• Gather, clean, transform, and load data.

Skills

Data cleaning

ETL for big data

ML model development

Statistical methods

Data visualization

Data storytelling

Critical thinking

Presentation skills

Communication skills

Education

Bachelor's or Master’s degree in statistics, mathematics, computer science, or related field

1 year of relevant work experience

Tools

Python

R

SQL

Excel

Tableau

Power BI

DAX

Job description

• Develop machine learning models and algorithms, and advanced statistical models to identify trends and patterns in large amounts of data
• Develop and test hypotheses to present data-driven solutions and for business challenges
• Provide data-driven recommendations and actionable insights based on analytics done
• Lead the integration of data science in various practice areas
• Perform exploratory data analysis (EDA)
• Gather, organize, clean, transform, and load available data

Secondary responsibilities

• Design interactive reports, dashboards (e.g. PowerBI, Tableau), and other data visualizations to present key insights
• Assist in designing and executing workshops to upskill stakeholders in data analytics, machine learning, statistics, and other technical skills

Skills and qualifications

Qualifications

• Undergraduate or Graduate degree in statistics, mathematics, computer science, or any related field, or at least 1 year of relevant work experience
• Domain knowledge in various industries, business, economics, finance, or accounting is highly preferable

Skills

• Experienced in data cleaning, data manipulation, and ETL procedures, especially for large data sets
• Experienced or knowledgeable in machine learning model and algorithm development (e.g. supervised and unsupervised models)
• Experienced or knowledgeable in statistical and mathematical tools/techniques
• Proficient in coding languages such as Python, R, and SQL
• Proficient in other data analytics tools such as Excel, Power Query, Tableau / Power BI and DAX functions
• Knowledgeable in data visualization, data storytelling, project management
• Strong oral and written communication and presentation skills
• Critical thinking and problem solving skills