FiftyFive Tech is hiring a Sr. Data Scientist

Job Description Senior Data Scientist Job Location – Gurgaon/Indore/Jaipur (WFO – Hybrid) Candidate is required to work from onsite client location (Abu Dhabi) for 3-4 Months Experience: 5+ Years About Company FiftyFive is a global software development and technology consulting company, delivering full-cycle digital solutions across industries and geographies. We help businesses across the USA, UK, Australia, MENA, and the Nordics accelerate innovation and drive digital transformation. Website: https://www.fiftyfivetech.io/ Job Summary We are seeking a highly skilled Data Scientist to support enterprise data transformation initiatives focused on AI-enabled data quality, metadata management, and intelligent automation. The ideal candidate will have strong hands-on expertise in Generative AI, Machine Learning, and data engineering, with the ability to build scalable, production-ready AI/ML solutions for enterprise environments. This role involves developing intelligent systems for metadata enrichment, anomaly detection, entity resolution, semantic classification, predictive analytics, and automated data quality monitoring using modern AI/ML techniques and LLM-based architectures. Key Responsibilities • Develop AI-powered solutions using Large Language Models (LLMs) for metadata enrichment, semantic classification, summarisation, and data quality automation. • Design, build, and optimise RAG (Retrieval-Augmented Generation) pipelines using enterprise metadata, profiling outputs, technical documentation, and rule libraries. • Develop machine learning models for anomaly detection, clustering, entity resolution, predictive analytics, and pattern recognition. • Build scalable Python and SQL-based pipelines for data profiling, onboarding, monitoring, and AI- assisted recommendations. • Implement Human-in-the-Loop workflows to validate AI-generated outputs and ensure governance, auditability, and business alignment. • Collaborate with business, governance, and engineering teams to operationalise AI/ML solutions across enterprise platforms. • Evaluate model performance, optimise output quality, and continuously improve AI/ML workflows. • Support deployment, monitoring, and maintenance of production-grade AI and ML solutions. • Create technical documentation and communicate insights effectively to technical and non-technical stakeholders. Required Skills & Experience • 5–9 years of experience in Data Science, AI/ML, or related domains. • Strong hands-on experience with LLMs, prompt engineering, and production-grade RAG architectures. • Strong programming skills in Python and SQL. • Experience with ML and AI frameworks such as Scikit-learn, LangChain, LlamaIndex, or equivalent technologies. • Strong understanding of supervised and unsupervised machine learning techniques including: o XGBoost o Random Forest o Clustering o PCA o Isolation Forest o Anomaly Detection • Experience building scalable AI/ML pipelines and enterprise-grade data solutions. • Understanding of metadata management, data quality frameworks, and enterprise data platforms. • Ability to analyse model performance and explain technical concepts to business stakeholders. • Strong analytical, problem-solving, and communication skills. Good to Have • Experience with vector databases, embeddings, and semantic search architectures. • Familiarity with cloud platforms such as Azure, AWS, or GCP. • Exposure to MLOps, CI/CD, and model deployment practices. • Knowledge of responsible AI, data governance, privacy, and security best practices. • Experience working with enterprise data governance or quality platforms. Education • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or a related field.