Role Description We are currently seeking a Data Engineer Advisor to join our team in Remote, Uttar Pradesh (IN-UP), India. Job Duties: Data Analyst - Draft the scope for the data and analytics workstream with understanding of all end user requirements and KPIs. - Develop BRDs, data mapping specifications, refined PBIs with clear articulation of user stories and acceptance criteria for data modelers and data engineers. - Analyse delegated authority data source through profiling, exploratory queries including quality validation to support medallion layer transformations in data and analytics platform. - Ensure all quality criteria for every requirement and evaluate according to importance and/or stability. - Undertake thorough analysis of existing delegated authority reports and extracts, understanding sources, transformations and logic for reuse while identifying scope for new requirements and data specifications. - Collaborate with business stakeholders, data engineers, data modelers and data architects to ensure mapping logic meets analytics, regulatory and data governance requirements. Qualifications - Experience as Business/System/Data analyst delivering data projects for P&C, Specialty insurance projects with exposure to Lloyd’s/London Market and Syndicate data structures is required. - Domain knowledge of Delegated authority mainly working on VIPR integration can be advantageous. - Excellent communication for cross-functional teams and building working relationships with all key stakeholders is essential. - Proficiency in Databricks medallion architecture and understanding of logical and physical modelling. - Proven ability to document requirements and produce detailed mapping and data transformation specifications. - Understanding of MGA and Lloyd's Market operating models, including their unique challenges and requirements. - Strong understanding of GDPR, Solvency II, and Lloyd’s regulatory and reporting requirements. - Functional knowledge of cloud data platforms (Azure data factory, Databricks) can be advantageous. 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. - We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. - Our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. - As a Global Top Employer, we have experts in more than 50 countries. - We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. - NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

• Desenvolver análises para identificação de padrões, tendências e correlação entre indicadores; • Estruturar mecanismos de geração automatizada de insights para governança; • Explorar uso de modelos de IA / LLM para interpretação e explicação de dados; • Desenvolver solução de assistente conversacional para consulta e análise de informações; • Apoiar a evolução do modelo de governança para abordagem orientada a dados.

Role Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Data Science Experts Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities - Guide research and engineering teams on data science methodology, statistical inference, and modeling best practices. - Design challenging data science tasks and write accurate, well-structured analytical solutions. - Evaluate data science tasks and solutions produced by AI systems and other experts; provide clear written technical feedback to improve correctness and rigor. - Develop guidelines and evaluation frameworks to assess the quality of statistical reasoning, ML pipeline design, and data analysis approaches. - Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications - Must-Have: 3+ years of professional or research experience in data science, data analysis, statistical modeling, or applied machine learning. - Ability to commit to 40 hours per week during weekdays for the duration of the engagement. - Strong written communication skills and the ability to explain analytical decisions and modeling choices clearly. - Preferred: Prior experience with data annotation, labeling, evaluation, or human feedback collection. - Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks. Requirements - W-2 employment with Cincinnatus LLC. Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: Interview Process - For any help or support, reach out to: support@mercor.com - PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Role Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Data Science Experts Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities - Guide research and engineering teams on data science methodology, statistical inference, and modeling best practices. - Design challenging data science tasks and write accurate, well-structured analytical solutions. - Evaluate data science tasks and solutions produced by AI systems and other experts; provide clear written technical feedback to improve correctness and rigor. - Develop guidelines and evaluation frameworks to assess the quality of statistical reasoning, ML pipeline design, and data analysis approaches. - Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications - Must-Have: 3+ years of professional or research experience in data science, data analysis, statistical modeling, or applied machine learning. - Ability to commit to 40 hours per week during weekdays for the duration of the engagement. - Strong written communication skills and the ability to explain analytical decisions and modeling choices clearly. - Preferred: Prior experience with data annotation, labeling, evaluation, or human feedback collection. - Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks. Requirements - W-2 employment with Cincinnatus LLC. Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: Interview Process - For any help or support, reach out to: support@mercor.com - PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.