NLP & AI Solutions Analyst

Yapı Kredi Teknoloji; Fatih; Hybrid; TRY 600,000 - 1,000,000; Full time

Benefits offered by this job

Hybrid work model

Koç Group offices access

Structured tech career path

BizClub & KoçAilem privileges

Retirement insurance

Birthday off day

Job summary

Yapı Kredi Technology seeks a technically strong AI/Tech Analyst to identify banking AI/NLP opportunities and translate business problems into clear AI requirements. You will work with engineers on data prep, annotation, and model evaluation, while designing prompts and assessing LLM outputs.

You will establish KPIs, document use cases, and contribute to technical papers and end-user guides in a fast-paced R&D setting. Fluency in English is required, with hybrid work options.

Qualifications

• Minimum 2–3 years in AI applications or tech-driven business analysis.
• Strong understanding of LLMs, prompt design, and agentic AI frameworks.
• Experience with NLP concepts: NER, classification, OCR, embeddings, semantic search.
• English fluency in written and spoken communication.

Responsibilities

• Identify banking AI/NLP use cases with measurable business impact.
• Translate problems into AI/NLP requirements and evaluation criteria.
• Collaborate with AI engineers on data prep, annotation, and model evaluation.
• Participate in prompt design, testing, and LLM output evaluation.
• Define and track KPIs for AI systems including ROI.

Skills

LLMs

Prompt engineering

Agentic AI

NLP concepts

NER

Classification

OCR

Embeddings

Semantic search

Jira

Confluence

Python

SQL

English fluency

Education

Bachelor’s Degree in Computer Engineering

Bachelor’s Degree in Computer Science

Bachelor’s Degree in Industrial Engineering

M.Sc./Ph.D. is a plus

Tools

Jira

Confluence

Job description

Yapı Kredi Technology seeks a technically strong AI/Tech Analyst to identify banking AI/NLP opportunities and translate business problems into clear AI requirements. You will work with engineers on data prep, annotation, and model evaluation, while designing prompts and assessing LLM outputs.

You will establish KPIs, document use cases, and contribute to technical papers and end-user guides in a fast-paced R&D setting. Fluency in English is required, with hybrid work options.