Data & AI Consultant

About the position 

You will own end-to-end DS/ML/GenAI solutions—from problem framing and metric design to production deployment and monitoring. This is a client-facing consulting role where you’ll work autonomously, mentor junior teammates, and turn complex technical problems into clear, actionable business outcomes. 

We offer: 

• Strong opportunities for professional and career growth 

• A stable work environment that supports long-term planning 

• Competitive compensation and benefits 

• The chance to work with high-profile clients across Europe 

• Excellent career development opportunities 

• Excellent career development opportunities, mentorship, and training 

• Modern tooling and a cloud-first stack; impact on architecture and standards 

Responsibilities: 

• Scope problems with stakeholders; define success metrics and acceptance criteria 

• Design, build, and deploy production-grade models and data pipelines (batch and/or streaming) 

• Lead GenAI solutions: RAG architecture, embeddings, guardrails, and evaluation; fine-tune models (e.g., LoRA); optimize for latency and cost; design agentic workflows where applicable 

• Implement MLOps: experiment tracking, model versioning, CI/CD, monitoring, and alerting 

• Ensure data quality, security, and compliance; maintain clear documentation and communication 

• Mentor junior team members; perform code and experiment reviews; drive best practices 

Requirements: 

• 3 - 6 years of relevant experience delivering production ML/GenAI solutions 

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Math, Engineering, or equivalent experience 

• Strong Python and SQL; clean, modular, tested code; Git and code reviews 

• ML depth: feature engineering, hyperparameter tuning, cross-validation, imbalanced data handling, model selection; solid understanding of metrics 

• Deep learning: PyTorch or TensorFlow; building and evaluating neural models 

• GenAI: LLM APIs and open-source models (Llama/Mistral), embeddings; RAG with vector DBs (FAISS/Pinecone/Weaviate); prompt design and evaluation frameworks (RAGAS/TruLens); safety/guardrails (PII redaction, content filters); experience with agentic patterns/frameworks is a plus 

• Cloud: AWS/GCP/Azure; deploying services with Docker and CI/CD; using managed ML platforms (SageMaker, Vertex AI, Azure ML) or equivalent 

• Data engineering: warehousing (Snowflake/BigQuery/Redshift), ETL/ELT; orchestration (Airflow/Dagster); streaming basics (Kafka) 

• MLOps: MLflow or Weights & Biases; monitoring for data/model drift (Evidently or similar), logging/alerting 

• Security/compliance: handling PII, secrets management, governance awareness 

• Communication and product sense: collaborate with PMs/engineers, translate business needs into ML solutions, explain complex topics simply to non-technical audiences, and mentor juniors 

• Kubernetes; model serving frameworks (KServe/Seldon); feature stores (Feast) 

Nice to have: 

• Lakehouse tech (Delta Lake/Iceberg); Spark/Databricks 

• LLM serving/optimization (vLLM, TGI, TensorRT-LLM); quantization/mixed precision 

• Search/ranking: Elasticsearch/OpenSearch, rerankers 

• Advanced methods: time series, causal inference, recommendation systems, optimization 

• Cost optimization and IAM;  

• additional languages (Java/Scala/Go), bash 

• BI tools (Looker/Tableau)  

• Previous consulting experience 

• Publications, patents, or notable open-source contributions 

If you meet the qualifications listed above and are eager to advance your career in our exceptional work environment, we encourage you to submit your application by 24.12.2025. 

We are for all. Through our strategy, we are focused on fostering a culture of belonging and equity where a diverse community of solvers can thrive and feel like they truly belong. 

PricewaterhouseCoopers d.o.o. Beograd or PricewaterhouseCoopers Consulting d.o.o. Beograd, which runs a recruitment process, with its registered seat in Belgrade, Omladinskih brigada Street no. 88a („PwC” or “we”) will be the controller of your personal data submitted in your application for a job. Your personal data will be processed for the purpose of performing a recruitment process for the job offered. If you give us explicit consent, your personal data will be also processed for participation in further recruitment processes conducted by PwC and sending notifications about job offers in PwC or job related events organized or with the participation of PwC such as career fair. Full information about processing your personal data is available in our Privacy Policy.