Data scientist

Əsas vəzifələr

• Partner with business customers in-region to surface high-value data science and AI opportunities, framing the real problem behind the stated one and delivering solutions that get adopted, not shelved.
• Build rapid proofs-of-concept on live data, engineered for scale from day one, taking ownership through discovery, development, iteration and adoption.
• Apply data science, machine learning and AI techniques to deliver measurable outcomes — cost reduced, hours freed, safety improved, production protected.
• Work alongside AI tooling as a “virtual team member” to accelerate build, compressing months of development into days.
• Coach and enable business users on AI and data tooling in the flow of their work, so capability lands where the problems are and adoption sticks.
• Follow and champion good engineering, data science and AI governance practice, keeping solutions secure, well-documented and ready to hand off to production or sustain.

Tələblər

• Around 3+ years' hands-on experience delivering data science, machine learning or AI solutions in complex, fast-paced environments.
• A degree in a quantitative field (e.g. computer science, statistics, mathematics, engineering, physics) or equivalent practical experience.
• Strong programming skills in Python (and/or R) and SQL, with the ability to build and maintain data pipelines and models.
• A proven ability to translate ambiguous business problems into working, data-driven solutions and to communicate results clearly to non-technical audiences.
• A customer-centric, pragmatic mindset with a bias for rapid value delivery and end-to-end ownership.
• Strong communication and stakeholder skills — able to build trust and work autonomously when embedded with the business.
• A continuous-learning mindset, comfortable using AI tooling to accelerate delivery.