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Active
Remote
İstanbul, Türkiye
Posted · 18.09.2026
LinkedIn Jobs Türkiye

# Senior/Expert AI & Data Scientist

dataSpecta

About DataSpecta DataSpecta is a Data & AI consulting and engineering company helping organizations transform data into measurable business value through advanced analytics, modern data platforms and enterprise AI solutions. We design and deliver solutions across both on-premise and cloud environments , working closely with enterprise customers from discovery through production. Alongside customer projects, we build our own AI products such as CogniSpecta (enterprise knowledge & cognitive search) and CodeSpecta (AI-powered software engineering). We're looking for a Senior/Expert AI & Data Scientist who combines strong data science fundamentals with hands-on experience or strong interest in Generative AI, LLM-based applications and enterprise AI solutions. You will work on real-world AI problems including customer analytics, recommendation systems, churn and propensity modelling, intelligent document processing, enterprise knowledge assistants, AI agents and AI-powered automation solutions . What You Will Work On Enterprise Generative AI and LLM applications Retrieval-Augmented Generation (RAG ) and enterprise knowledge assistants AI agents and multi-step agentic workflows Customer churn, propensity, recommendation and segmentation models Intelligent document processing and information extraction On-premise, private-cloud and public-cloud AI architectures Responsibilities Translate business objectives and data constraints into well-defined AI and analytics solutions Design and develop machine learning, advanced analytics and Generative AI solutions for enterprise use cases Build and optimize RAG pipelines ; work with LLMs, embeddings, vector databases, semantic search and reranking Design and implement AI agents integrated with enterprise applications and data platforms Evaluate models based on accuracy, latency, cost, privacy and infrastructure constraints Develop predictive models for churn, propensity, recommendation, segmentation and forecasting Collaborate with Data Engineers, AI Engineers and Solution Architects to move solutions from prototype to production Present analytical findings and AI solutions to technical and non-technical stakeholders Required Qualifications Bachelor's or Master's degree in Computer Engineering, Computer Science, Mathematics, Statistics or a related quantitative field 4+ years of professional experience in Data Science, Machine Learning or Applied AI Strong proficiency in Python and experience with SQL and large datasets Strong understanding of classification, regression, clustering, recommendation systems, feature engineering and predictive modelling Experience building ML models using scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow or similar Strong analytical thinking and ability to communicate technical concepts to business stakeholders Generative AI & LLM Experience (highly preferred) LLMs, RAG, prompt/context engineering, embeddings, semantic search, vector databases AI agents, agentic workflows, open-source LLMs, LLM evaluation Frameworks such as LangChain, LangGraph, LlamaIndex, Azure OpenAI, AWS Bedrock, Hugging Face are a plus AI Engineering & Data Experience (a plus) REST APIs, FastAPI, Docker, Kubernetes, Git, CI/CD, MLflow Cloud AI platforms, GPU infrastructure, on-premise LLM deployment Data Warehousing, Spark, Azure, AWS, Databricks, Snowflake Domain Experience (a plus) Banking & Financial Services, Retail, E-commerce, Telecommunications, Enterprise Software What We Value Curiosity about solving real business problems with AI Comfort moving between business problems, data, models and technology Ownership from problem definition through implementation Continuous learning and experimentation with emerging AI technologies Follow us: LinkedIn: https://www.linkedin.com/company/innovance-consultancy LinkedIn: https://www.linkedin.com/company/dataspecta Instagram: https://www.instagram.com/innovanceconsultancy Instagram: https://www.instagram.com/dataspecta

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