GenAI Data Scientist

Nextlink is looking for a hands-on GenAI Data Scientist to join the Data Analytics & Foundational Platforms team within Wealth Management Americas. The role focuses on designing developing evaluating and deploying Generative AI and machine learning solutions that enhance business decision-making automate workflows and improve operational efficiency.

The ideal candidate will have strong programming and analytical skills practical experience building AI/ML applications and the ability to translate business requirements into scalable reliable and production-ready solutions.

Key Responsibilities

• Design develop test and deploy Generative AI and machine learning solutions in collaboration with senior data scientists and technical leads.
  
• Build AI-powered applications using Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) semantic search embeddings and agent-based architectures.
  
• Develop and maintain evaluation frameworks to assess the accuracy reliability consistency and performance of LLM-based applications.
  
• Prepare process and analyze structured and unstructured data for machine learning and AI application development.
  
• Experiment with prompt engineering retrieval strategies model configurations embeddings and fine-tuning techniques to optimize solution performance.
  
• Develop validate and implement machine learning models using techniques such as classification clustering and optimization.
  
• Write clean reusable maintainable Python code following software engineering version control testing and reproducibility best practices.
  
• Develop Power BI dashboards and visualizations to communicate analytical insights and support business decision-making.
  
• Work with SQL databases to extract transform validate and prepare data for analytical and machine learning use cases.
  
• Monitor production AI applications investigate issues perform root-cause analysis and continuously improve solution quality and performance.
  
• Collaborate with business stakeholders product managers data scientists and technology teams to translate business requirements into effective technical solutions.
  
• Document methodologies experiments model performance technical decisions and implementation outcomes.
  
• Ensure responsible AI practices output validation compliance with organizational policies and adherence to applicable risk and governance standards.
  

Required Skills and Qualifications

• Strong hands-on programming experience in Python including familiarity with commonly used data science and machine learning libraries.
  
• Practical experience developing or prototyping Generative AI applications using LLMs.
  
• Understanding of Natural Language Processing (NLP) deep learning machine learning and agentic AI systems.
  
• Hands-on knowledge of RAG pipelines prompt engineering embeddings vector search semantic retrieval and information retrieval systems.
  
• Experience evaluating machine learning models or LLM-based applications using appropriate performance and quality metrics.
  
• Strong SQL skills and experience working with structured data databases and analytical data preparation.
  
• Mandatory hands-on experience in Power BI including dashboard development and data visualization.
  
• Familiarity with machine learning techniques such as classification clustering and optimization.
  
• Exposure to cloud and data platforms such as Microsoft Azure AWS GCP or Databricks.
  
• Familiarity with Git version control code reviews automated testing and software development best practices.
  
• Strong analytical problem-solving communication and stakeholder-management skills.
  
• Ability to work collaboratively in a fast-paced environment and deliver practical business-focused solutions.
  
• Bachelors or masters degree in Computer Science Data Science Machine Learning Statistics Computational Linguistics or a related quantitative discipline.
  

Preferred Technical Skills

Experience with one or more of the following technologies and frameworks is preferred:

• GenAI and LLMs: Azure OpenAI Anthropic APIs OpenAI SDKs.
  
• AI/ML frameworks: PyTorch Hugging Face Transformers spaCy.
  
• LLM orchestration: LangChain LangGraph or equivalent frameworks.
  
• LLM evaluation: DeepEval or comparable evaluation frameworks.
  
• Data and analytics platforms: PostgreSQL Greenplum Hadoop Databricks or similar technologies.
  
• Business intelligence: Power BI and Tableau.
  

Preferred Experience

• Prior experience in financial services banking wealth management or investment management.
  
• Experience developing enterprise search question-answering document intelligence or AI-assisted workflow automation solutions.
  
• Exposure to productionizing and monitoring AI/ML applications in cloud environments.