Data Scientist

Mission principale

Own the creation of decision‑grade intelligence products by applying advanced analytics and statistics to transform complex multi‑source data into trusted, monetizable customer offerings Key Responsibilities Analytics & Modelling • Design, build, validate, and maintain predictive and prescriptive models across travel, risk, and location domains • Apply statistical methods, machine learning, and experimentation to improve data accuracy, completeness, and trust • Develop domain‑specific metrics, benchmarks, and risk scoring frameworks Product & Commercial Responsibilities • Translate customer problems and market needs into analytical solutions and data products • Partner with Product Managers to define value propositions, pricing inputs, and success metrics • Contribute to roadmap prioritisation based on impact, feasibility, and monetisation potential Data Quality, Governance & Ethics • Define data quality rules, validation logic, and anomaly detection mechanisms • Ensure alignment with privacy, consent, and ethical AI standards in regulated environments • Support lineage, explainability, and auditability of analytical outputs Collaboration & Delivery • Work closely with Data Engineers to ensure model‑ready, reliable data pipelines • Collaborate with Machine Learning Engineers to operationalise models at scale • Communicate insights and recommendations clearly to technical and non‑technical stakeholders Job Profile – Required Skills And Knowledge • 7-8+ years' experience in applied data science roles • Strong proficiency in Python, SQL, and ML libraries • Ability to translate data into presentable stories. • Experience delivering customer‑facing, revenue‑generating data products Required Qualifications • Bachelor’s degree in computer science, Engineering, Information Systems, or related field • MS in AI, Big Data or relevant fields.