Ekspert / Ekspertka ds. Data Science (Modelowanie Wartości Klienta)

Quick Facts

Role within the Customer Value Modeling / Data Analytics and Integrated Reporting team, centered on CLV (Customer Lifetime Value) methodology and ML/AI model development.

Description

You will develop and maintain the methodology for measuring Customer Value (CLV) to prioritize sales, relationship, and retention actions. You will run business analyses, simulations, and experiments (e.g., A/B tests and pilots) to increase customer value and the efficiency of initiatives, while monitoring their impact. You will also co-create and optimize adaptive ML/AI models by identifying new predictors, evaluating model effectiveness, and recommending changes to improve performance.

Responsibilities

• Develop and maintain CLV measurement methodology used to prioritize sales, relational, and retention activities.
• Conduct analyses, simulations, and business experiments (e.g., A/B tests, pilots) focused on higher customer value and better action efficiency.
• Monitor and assess the influence of implemented activities.
• Co-create and optimize adaptive ML/AI models by identifying new predictors, assessing effectiveness, and recommending model changes.
• Collaborate closely with business and operational units to define, implement, and monitor analytical solutions.

Requirements

• Minimum 3 years of experience in business analytics or predictive analytics (preferred: finance, telecom, or e-commerce).
• Hands-on experience building ML/AI models including classification, segmentation, recommendation, and survival analysis.
• Project experience collaborating with IT teams, business units, and external vendors.
• Independence and strong analytical skills (interpreting data and formulating conclusions).
• Very good knowledge of SQL and Python.
• English proficiency enabling fluent communication.

Benefits

• Employment under an employment contract with a semi-annual bonus system.
• Hybrid work: 60% office / 40% remote.
• Team culture focused on knowledge exchange, open discussion, support, and joint solution building.
• Participation in strategic projects with real impact on model, methodology, and standards development.
• Unique experience in data analytics.
• Collaboration with experts across sales, products, CRM, marketing, digital channels, Data Science, and IT.
• Private medical care and access to group life insurance.
• Access to the MyBenefit cafeteria platform with thousands of discounts and benefits, including a sports card and vouchers.
• Modern office in Warsaw near Pole Mokotowskie metro station and discounts at Green Cafe Nero.
• Participation in volunteering initiatives.
• Access to the Mindgram wellbeing platform including psychological support, personal development, and wellbeing tools.