Fifty Five Technologies- 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.