Data and Analytics

Data and Analytics

Data Scientist — Production Gaming Services — Hybrid, Nicosia, Cyprus

Develop production data-science services for gaming products, connecting predictive models with reliable software and data pipelines.

Vacancy details

This is a private vacancy. Company details stay confidential until InVault confirms a serious candidate fit.

Status
Active
Date posted
2026-10-12
Open until
2027-01-10
Employment type
Full-time
Source-listed languages
English
Language requirement
Required
Work arrangement
Hybrid
Physical workplaces
Nicosia, Cyprus
Applicant eligibility
Applicant geography not specified

Overview

The data-science remit extends from research to running software. New AI services need suitable models, dependable pipelines and code that can be maintained as part of high-load applications. The position combines statistical work with production engineering, collaborating closely with research-and-development and DevOps teams. Business questions may require dedicated predictive models or focused exploratory analysis. The emphasis is on practical results that can be deployed and sustained, including sound testing and code quality. Experience with tabular or time-series data is directly relevant to the analytical work. Possible analytical applications include personalised recommendations and churn reduction, with attention to responsible user experiences.

Requirements

  • Four years Python development.
  • Three years predictive modelling and tabular/time-series analysis.
  • SQL, production-code quality and relevant bachelor’s degree.
  • High English proficiency; AWS or GCP knowledge advantageous.

Responsibilities

  • Build end-to-end Python data-science applications.
  • Create AI services and improve existing data pipelines.
  • Adapt machine-learning methods to business problems.
  • Develop predictive/statistical models and ad-hoc analyses.
  • Collaborate with engineering and DevOps on production delivery.

Conditions

  • Hybrid arrangement in Nicosia, Cyprus.
  • Full-time employment.