Старший специалист по данным

Əsas vəzifələr

• Act as the embedded, “go-to” technical partner for a region, owning end-to-end delivery of high-value data science and AI solutions from discovery through to an adopted, production-ready outcome.
• Lead the rapid design and build of proofs-of-concept on live data, engineered for scale from day one, setting the bar for quality, documentation and AI governance.
• Apply advanced data science, machine learning and AI engineering to deliver significant, quantified business value across the region.
• Build deep domain expertise and use it to challenge business requests, shape requirements and re-apply reusable patterns that strengthen bp's wider digital capability.
• Champion a business domain field as the single point of contact into the relevant Digital Delivery vertical — aligning before build and securing a clear route to sustain.
• Mentor and coach less-experienced data scientists and business users, lifting technical fluency and driving adoption across the region.

Tələblər

• Demonstrated' hands-on experience delivering end-to-end data science, machine learning and AI solutions with proven business impact in complex, fast-paced environments.
• A degree in a quantitative field (advanced degree desirable) or equivalent practical experience.
• Expert programming skills in Python and SQL, with a track record of building, deploying and sustaining models and data pipelines.
• A demonstrated ability to own solutions end-to-end and work autonomously when embedded with the business — internalising complexity (data quality, process, adoption) rather than handing it off.
• Excellent partner and influencing skills, and a track record of being the trusted technical partner to a business.
• Experience mentoring others and advocating for data science, engineering and AI governance practices.
• A continuous-learning attitude, using AI tooling to punch far beyond weight and accelerate delivery.