Senior/Expert AI & Data Scientist

About DataSpectaDataSpecta 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 OnEnterprise Generative AI and LLM applicationsRetrieval-Augmented Generation (RAG) and enterprise knowledge assistantsAI agents and multi-step agentic workflowsCustomer churn, propensity, recommendation and segmentation modelsIntelligent document processing and information extractionOn-premise, private-cloud and public-cloud AI architecturesResponsibilitiesTranslate business objectives and data constraints into well-defined AI and analytics solutionsDesign and develop machine learning, advanced analytics and Generative AI solutions for enterprise use casesBuild and optimize RAG pipelines; work with LLMs, embeddings, vector databases, semantic search and rerankingDesign and implement AI agents integrated with enterprise applications and data platformsEvaluate models based on accuracy, latency, cost, privacy and infrastructure constraintsDevelop predictive models for churn, propensity, recommendation, segmentation and forecastingCollaborate with Data Engineers, AI Engineers and Solution Architects to move solutions from prototype to productionPresent analytical findings and AI solutions to technical and non-technical stakeholdersRequired QualificationsBachelor's or Master's degree in Computer Engineering, Computer Science, Mathematics, Statistics or a related quantitative field4+ years of professional experience in Data Science, Machine Learning or Applied AIStrong proficiency in Python and experience with SQL and large datasetsStrong understanding of classification, regression, clustering, recommendation systems, feature engineering and predictive modellingExperience building ML models using scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow or similarStrong analytical thinking and ability to communicate technical concepts to business stakeholdersGenerative AI & LLM Experience (highly preferred)LLMs, RAG, prompt/context engineering, embeddings, semantic search, vector databasesAI agents, agentic workflows, open-source LLMs, LLM evaluationFrameworks such as LangChain, LangGraph, LlamaIndex, Azure OpenAI, AWS Bedrock, Hugging Face are a plusAI Engineering & Data Experience (a plus)REST APIs, FastAPI, Docker, Kubernetes, Git, CI/CD, MLflowCloud AI platforms, GPU infrastructure, on-premise LLM deploymentData Warehousing, Spark, Azure, AWS, Databricks, SnowflakeDomain Experience (a plus)Banking & Financial Services, Retail, E-commerce, Telecommunications, Enterprise SoftwareWhat We ValueCuriosity about solving real business problems with AIComfort moving between business problems, data, models and technologyOwnership from problem definition through implementationContinuous learning and experimentation with emerging AI technologiesFollow us:LinkedIn: https://www.linkedin.com/company/innovance-consultancyLinkedIn: https://www.linkedin.com/company/dataspectaInstagram: https://www.instagram.com/innovanceconsultancyInstagram: https://www.instagram.com/dataspecta