Title: Data Scientist Location: United States Job Description: THE OPPORTUNITY The Senior Data Scientist is responsible for leveraging advanced analytics, machine learning, and predictive modeling techniques to extract insights from complex datasets. This role partners with business stakeholders to translate strategic objectives into data-driven solutions, enabling informed decision-making and measurable outcomes. HOW YOU’LL MAKE AN IMPACT - Analyze large, complex datasets to identify patterns, trends, and anomalies that drive business insights - Develop, validate, and deploy predictive models and machine learning solutions - Apply advanced statistical and analytical methods to solve business problems - Design and deliver reports, dashboards, and data visualizations to communicate findings clearly - Collaborate with stakeholders to understand business needs and translate them into analytical approaches - Support the development and maintenance of data pipelines and workflows in cloud-based environments - Ensure data quality, integrity, and adherence to governance standards - Document methodologies, analyses, and recommendations for transparency and reproducibility SKILLS THAT DRIVE SUCCESS - Advanced proficiency in Python for data analysis, machine learning, and model development - Strong knowledge of statistical analysis, predictive modeling, and machine learning techniques - Ability to analyze and interpret large, complex datasets to identify trends and actionable insights - Experience with data visualization tools (e.g., Tableau, Power BI, or similar) to communicate findings effectively - Proficiency in SQL and working with relational and non-relational databases - Experience with data preprocessing, feature engineering, and model validation techniques - Familiarity with cloud-based data platforms (e.g., AWS, Azure, GCP) and analytics environments - Understanding of data pipelines, ETL processes, and data engineering concepts - Knowledge of data governance, data quality, and best practices for data management - Strong problem-solving and critical thinking skills - Ability to translate business requirements into analytical solutions and technical outputs - Effective communication skills, including the ability to present complex insights to non-technical stakeholders - Experience documenting methodologies, models, and analytical findings for reproducibility and auditability - US Citizen, Secret clearance eligibility WHAT SETS YOU APART - Expert proficiency in Python and advanced analytic technics - Demonstrated experience working with large-scale datasets - Proven ability to build and implement machine learning models - Experience with data visualization and reporting tools - Active Secret clearance WHY YOU’LL LOVE IT - You will be part of a company that is growing quickly and values your voice, ideas, and experience - You will be a key contributor to Iron Bow’s transformational shift in how we deliver value to both customers and employees. - You will have the pleasure of working with passionate professionals in a culture that fosters a workplace where everyone feels respected, supported and empowered to succeed. Compensation and Benefit Information: The salary range for this position is $140,000-$165,000. This range reflects the anticipated base pay for the position and is not a guarantee of final compensation. Actual compensation will be determined based on factors including experience, skills, education, location, contract requirements, and business needs. At Iron Bow, we invest in our people and their success. We offer a comprehensive benefits package that may include medical, dental, and vision coverage, a 401(k) plan, paid time off, and additional wellness and financial benefits. An overview of our benefits is available on our careers page.

• Architect, develop, and operationalize LLM based solutions using Azure OpenAI (GPT models, embeddings, vector search). • Build agentic AI systems and multi agent orchestration using frameworks such as LangChain, LangGraph, or equivalent. • Implement RAG systems, retrieval pipelines, embeddings, and prompt engineering best practices. • Develop scalable AI/microservice architectures using Python, containers, APIs, and event driven systems. • Build and maintain MLOps pipelines including CI/CD for model deployment, versioning, monitoring, and telemetry. • Perform data engineering tasks including ETL, ingestion, transformation, and vectorization. • Deploy AI workloads securely on Azure cloud following enterprise security and governance standards. • Partner with business and tech stakeholders to translate business challenges into AI driven solutions. • Support model interpretability, explainability, and regulatory compliance for AI/ML systems.

• Build and deploy AI models for NLP, computer vision, and generative AI use cases • Utilize platforms such as Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework • Integrate AI capabilities into enterprise workflows and applications • Apply Responsible AI principles ensuring fairness, transparency, and security • Collaborate with data engineers, cloud architects, and business analysts

Role Description We are currently seeking a Data Engineer Advisor to join our team in Remote, Karnātaka (IN-KA), India. Job Duties: Key Responsibilities - Develop and maintain data models - Logical and Physical, to support business needs ensuring data integrity for Insurance domains. - Design models aligned to Databricks medallion architecture by translating the requirements of underwriting, delegated authority, reinsurance, actuarial, claims, and finance. - Implement and maintain modelling standards, naming conventions, metadata, and documentation working closely with data analysts, data engineers, and associates in the data office. - Review existing models and propose simplification, standardisation, and target state improvements across projects and for wider requirements. - Lead the evolution of requirements, refine and translate the specifications into data models to enable the development phase. - Ensure the models accurately reflect Insurance processes and data elements before handing it over to engineering. Qualifications - Experience delivering data models for P&C, Specialty insurance projects with exposure to Lloyd’s/London Market and Syndicate data structures is required. - Understanding of insurance domain concepts and proficiency with data modelling tools (e.g., Erwin). - Expertise in enterprise data modelling, including conceptual, logical, and physical models for transactional domains. - Experience in data modelling using Dimensional Star/Snowflake, Data Vault, and 3NF methodologies. - Knowledge of data warehousing and ETL/ELT pipelines. - Experience with Azure Data Factory and Databricks, designing data pipelines can be advantageous. - Understanding and knowledge of system development life cycle methodologies (such as agile software development). - Excellent collaboration and communication skills to deal with senior leaders, stakeholders, and technical teams is required. - Flexibility and bringing a curious and creative mindset, open to new things and able to propose innovative ideas. Company Description NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. - One of the world's leading AI and digital infrastructure providers. - Unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers, and application services. - Consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. - A Global Top Employer with experts in more than 50 countries. - Access to a robust ecosystem of innovation centers as well as established and start-up partners. - Part of NTT Group, which invests over $3 billion each year in R&D.