Associate Data & AI Engineering Consultant - New Graduate (Entry Level)

About Us SnA is a business analytics consultancy with its resources actively engaged in client deliverables. SnA helps blue-chip clients in Banking, Insurance, Telco, Retail, and Energy understand their transaction-level history & conduct predictive analysis. SnA team combines skillsets in three key areas: business strategy, applied statistics, and database techniques. In the past fifteen years, SnA has completed over 300+ advanced analytics engagements with high-profile clients in the EMEA region. This position requires a combination of technical skills and research, communication, and presentation skills. We seek highly motivated individuals with a strong record of professional/academic/personal achievement and place significant importance on personal qualities such as intellectual curiosity, responsibility, determination, creativity, flexibility, drive, and self-confidence. Desired Skills and Experience Bachelor’s degree in a technical program (e.g., Engineering, Computer Science, MIS) from a reputable university Relevant experience in data engineering, analytics, or AI-related projects Strong knowledge of Python for data engineering, AI/ML development, and SQL Familiarity with machine learning fundamentals (supervised/unsupervised learning, feature engineering, model evaluation) Basic understanding of AI/ML pipelines , including data preparation, training, inference, and monitoring Assertive, fast learner, highly organized, and curious about emerging AI and data technologies Preferred Qualifications Knowledge of modern, cloud-based data and AI pipeline best practices Experience with large-scale data warehousing , data lake/lakehouse architectures, and data modeling Exposure to ML frameworks and libraries (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost) Familiarity with MLOps concepts such as experiment tracking, model versioning, and CI/CD for ML Experience with orchestration frameworks such as Apache Airflow or Argo Workflow Experience with one or more cloud environments (AWS / Azure / GCP) , including managed AI services Experience with LLM or Generative AI concepts (prompt engineering, embeddings, vector databases, RAG architectures) Responsibilities Work closely with clients and internal consultants on data, analytics, and AI projects Design and build scalable data and AI pipelines across Cloud and On-Prem environments Support the development and deployment of AI/ML models by ensuring high-quality, well-governed data inputs Assist in the implementation of MLOps practices , including model deployment, monitoring, and performance tracking Research emerging AI, Generative AI, and data engineering technologies to continuously improve existing platforms and solutions Benefits A culture where participation is encouraged and collaboration is a real pleasure Work in a creative environment and a steep learning curve Modern workplace in the heart of Istanbul Direct cooperation with major brands from all conceivable industries Home office arrangements Birthday leave Private health insurance & Sodexo to cover food expenses