Data Scientist – Advanced Analytics

About the role

We are looking for a Data Scientist to own the creation of decision‑grade intelligence products. You will apply advanced analytics and statistical techniques to turn complex multi‑source data into trusted, monetizable customer offerings across travel, risk and location domains.

Key responsibilities

• Design, build, validate and maintain predictive and prescriptive models for travel, risk and location use‑cases.
• Apply statistical methods, machine learning and experimentation to improve data accuracy, completeness and trust.
• Develop domain‑specific metrics, benchmarks and risk‑scoring frameworks.
• 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.
• Define data quality rules, validation logic and anomaly‑detection mechanisms while ensuring privacy, consent and ethical AI compliance.
• Collaborate with Data Engineers to create model‑ready pipelines and with Machine Learning Engineers to operationalise models at scale.
• Communicate insights and recommendations clearly to both technical and non‑technical stakeholders.

Required profile

• 7‑8+ years of experience in applied data‑science roles.
• Bachelor’s degree in Computer Science, Engineering, Information Systems or a related field; a Master’s in AI, Big Data or a comparable discipline is a plus.
• Proven track record delivering customer‑facing, revenue‑generating data products.

Required skills

• Strong proficiency in Python.
• Advanced SQL skills.
• Experience with machine‑learning libraries (e.g., scikit‑learn, TensorFlow, PyTorch).