Data Scientist

About the role

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.