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.