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Data Scientist – myPOS
At myPOS, we’re all about helping businesses grow and get paid. We make payments simple, smart, and accessible for everyone—but myPOS is a partner in growth. From free multi-currency accounts to powerful e-commerce tools, we’re here to support business owners of all sizes and entrepreneurs who dream of starting their own ventures.
As we scale our ambition, we’re seeking a Data Scientist to drive impact in Europe’s fastest-growing payment and commerce platform. Ready to shape the future of finance—clarity first, trust always? Let’s power a smarter way forward.
About the Role
myPOS is building a high-impact Data Science function to build the intelligence layer of one of Europe’s fastest-growing payment and commerce platforms.
As a Data Scientist, you’ll collaborate with a dedicated team to develop models that make smarter decisions across Sales, Marketing, Risk, Operations, Product, and Technology. You’ll work on customer lifetime value (CLTV), churn prediction, fraud detection, Next Best Action (NBA) decisioning, and LLM-powered workflows.
Key Responsibilities
Your work will span Domains with growing demand in quantitative fields such as:
- Customer-centric models:
- Build and refine Customer Lifetime Value (CLTV), churn prediction, and propensity-to-buy models
- Define and maintain Next Most Likely Product (NMLP) models
- Fraud and Risk:
- Develop transaction-level fraud classifiers, merchant behaviour anomaly detectors, and risk scoring models
- Action-driven AI:
- Feed model insights into a dynamic NBA engine (Sales, Marketing, in-product)
- A/B test, uplift analysis, and multi-armed bandit evaluations to validate incremental impact
- Systems and infrastructure:
- Design end-to-end ML pipelines for data extraction, feature engineering, model training, evaluation, and production deployment
- Monitor deployed models for degradation, data drift, performance metrics
- Enterprise collaboration:
- Translate business challenges into data science solutions – engaging with Sales, Marketing, Risk, Operations, and Product teams
- Present statistical analyses with clarity for all levels of stakeholders (technical and non-technical)
- Advanced AI architectures:
- Prototype and integrate LLM-powered agentic workflows using structured frameworks such as LangChain, LlamaIndex, function calling, and RAG
- Documentation:
- Author model cards, methodological playbooks, and internal knowledge resources for team growth
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Requirements
Experience:
- 3–5 years of applied data science, machine learning, or statistical modelling, with demonstrating models successfully deployed and measured in production.
- Hands-on expertise in commercial use-cases (fraud, churn, CLTV etc.) preferred.
Technical Skills:
- Core Python proficiency: hands-on with pandas, numpy, scikit-learn, XGBoost/ LightGBM, and at least one deep learning framework (PyTorch/TensorFlow).
- Solid grasp of supervised classification/regression, unsupervised clustering/survival analysis, and time-series models.
- Proven production-scale implementation of CLTV, churn, fraud detection, propensity, or uplift models.
- Ability to process large-scale data: structured and unstructured. Preferred: experience with SQL and cloudwarehouses (GCP and/or BigQuery).
- Confidence displaying models via APIs (REST, batch inference) and tracking platforms (MLflow, Weights & Biases).
- Practice in LLM APIs (e.g. OpenAI, Anthropic) + agentic frameworks (LangChain, LlamaIndex, AutoGen).
- Responsible AI expertise: fairness assessment (SHAP, LIME), bias mitigation.
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Attitude:
- Garnerabler communication style matching technical rigor with actionable storytelling for all audiences.
Why myPOS?
At myPOS, we believe growth goes further together.
Why we mean it:
- Competitive salary, inclusive annual reviews & performance-based bonuses
- Access to unlimited LinkedIn Learning + myPOS Academy (resources to keep you learning)
- Training and development budget to grow each year
- 9% employer pension contribution
- Comprehensive benefits (healthcare, dental, and life assurance)
- Refer a friend scheme because we love growing with partners
- Multi-team, international community – celebrate your edge through collaborative beats
Who We Are
NB! This is real growth-hacking at our best.
Since 2014, we’ve made payments more practical for businesses of all kinds – whether a growing online store, a brick-n-mortar counter, or a mobile operation.
Our mission? A world where businesses get paid effortlessly. By merging lean technology, this future isn’t just possible—it’s our daily commitment.
Our commitment to you? We care about potential over prestations. Apply anyway—to grow, learn, and scale your career.
Because raw talent rewards collaboration.
Social myPOS #1st
IFFO – teamwork wins.
Compliance & Action Items
Equal Opportunity Principle: myPOS affirms equality for all applicants. Our decisions are based solely on merit.
GDPR Confidentiality Support: Payment data handling follows strict rules. Full details are evaluated per weeding steps. Only job-aligned candidates receive contact feedback.
Ready to make payments smarter? Apply today.
Champion inclusion, steer decisions, and love what you build. We’re excited to meet you.
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