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.