Data Scientist – ML, BI

Job not on LinkedIn

🕒 October 28

🇲🇹 Malta – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

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Ventures Lab

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Ventures Lab is a leading company providing end-to-end iGaming and financial business solutions. They operate as a prominent sports betting and gaming group in the online sector, offering a proprietary platform with managed services to support the iGaming, fintech, and banking industries. Their technology includes a versatile gaming platform for both sports and casino verticals, and features such as customer support, marketing solutions, CRM, and business intelligence tools. Ventures Lab is equipped to handle numerous payment methods, fraud control, and offers a robust infrastructure for hosting and network management. With licenses in major jurisdictions, they cater to partners seeking to expand their iGaming businesses worldwide by providing customizable and scalable solutions.

📋 Description

• Design and build recommendation models for personalization, next-best-offer and CRM content across casino and sportsbook brands • Develop scoring models for bonus abuse, multi-accounting, payment fraud and responsible gambling, partnering with Risk and Payments to turn scores into actions • Build churn, value segmentation, VIP potential and propensity models for CRM campaigns and VIP host portfolios • Use AI coding assistants and modern Python tooling to prototype, test and iterate models rapidly and automate repetitive analysis • Deploy models to production in Snowflake, Snowpark, dbt Python models and Airflow, including versioning, scheduled retraining, monitoring and drift checks • Build reusable, documented player features on the Kimball data warehouse with Data Engineering • Design A/B tests and quasi-experimental analyses to measure model, promotion and product-feature uplift • Build, maintain and troubleshoot Power BI reports and semantic models, covering for the BI developer • Conduct deep-dive analyses of player behaviour, payments and game performance and present recommendations to management • Help establish team standards for reproducible notebooks, code review, testing and documentation • Own models end to end, from exploring player behaviour in Snowflake to shipping scored outputs used by CRM, Risk and Product teams • Report directly to the Head of Data

🎯 Requirements

• 4+ years in data science or advanced analytics, ideally in iGaming, fintech or another high-volume B2C business • Strong Python for data science and ML (pandas, scikit-learn, XGBoost/LightGBM; PyTorch or TensorFlow is a plus) • Hands-on ML experience across classification, regression, clustering, recommender systems and anomaly detection, with models taken to production • Advanced SQL on a cloud data warehouse, preferably Snowflake; experience with dbt is a strong plus • Daily, effective use of AI coding assistants (e.g. Claude Code, Cursor, Copilot) to speed up development • 2+ years of hands-on Power BI (DAX, Power Query, data modeling); able to own reports without supervision • Solid grasp of statistics and experimental design (A/B testing, causal inference basics) • Experience with MLOps practices and tools (e.g. MLflow, Snowpark ML, Docker) and orchestration with Airflow is an advantage • Comfortable with Git, code review and CI/CD workflows • Strong communication skills: able to explain models and findings to non-technical stakeholders • Proactive, self-driven and pragmatic, with a bias for shipping • Already based in Malta and seeking a remote work setup while living in Malta

🏖️ Benefits

• Performance and bonus structure dependent on achievement of set targets and personal performance • Private health insurance

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