Position: Senior Data Engineer An exciting career opportunity exists for a motivated Senior Data Engineer to advance their professional journey. This position is embedded within a high-functioning team that prizes collaboration, innovation, and quality. Main Accountabilities: Develop NLP, computer vision, and deep learning solutions for complex AI use cases. Build self-service analytics capabilities that empower business teams to explore data. Develop scalable data engineering pipelines to ingest, transform, and serve data. Manage cloud data platforms such as BigQuery, Redshift, Snowflake, or Azure Synapse. Ensure compliance with data governance, privacy regulations, and security standards. Collaborate with engineering teams to embed analytics and AI into core product workflows. Publish insights, model performance reports, and data science findings to leadership. Build A/B testing frameworks and experimentation infrastructure for product teams. Essential Skills and Experience: Relevant undergraduate or postgraduate degree aligned with the role's core responsibilities. Strong project management capabilities with experience in agile or structured methodologies. Excellent attention to detail and commitment to producing accurate, high-quality deliverables. Expertise in applying quantitative and qualitative methods to support evidence-based decisions. 4+ years of experience with a demonstrated track record of growth and professional impact. Knowledge of applicable regulatory frameworks, industry standards, and compliance requirements. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. Applications are reviewed on a rolling basis; suitably qualified individuals are encouraged to apply promptly.

Position: Data Scientist Machine Learning, New York A distinguished opportunity awaits a seasoned Data Scientist Machine Learning, New York within our progressive, innovation-led organisation. This role provides exposure to strategic initiatives and direct collaboration with senior leadership. Principal Responsibilities: Implement data quality monitoring and automated alerting frameworks for pipelines. Develop NLP, computer vision, and deep learning solutions for complex AI use cases. Build A/B testing frameworks and experimentation infrastructure for product teams. Ensure compliance with data governance, privacy regulations, and security standards. Build self-service analytics capabilities that empower business teams to explore data. Develop scalable data engineering pipelines to ingest, transform, and serve data. Collaborate with engineering teams to embed analytics and AI into core product workflows. Optimise SQL queries, stored procedures, and database performance across environments. Candidate Requirements: 5+ years of experience with demonstrated progression in scope, complexity, and responsibility. Critical and strategic thinking skills with the ability to translate insights into clear actions. Leadership experience with a track record of guiding teams, projects, or cross-functional initiatives. Recognised qualification in the relevant professional field at the undergraduate or graduate level. Commitment to professional ethics, confidentiality, and the highest standards of conduct. Advanced competency in analytical tools, reporting platforms, and role-specific technology. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. This role offers exceptional career growth, a collaborative culture, and a compensation structure aligned to market benchmarks.

Position: Lead Data Engineer- Data Platform (Open to Remote Workers) Our firm seeks a competent and professional Lead Data Engineer- Data Platform (Open to Remote Workers) for a critical role in a high-performance environment. This position offers the opportunity to work with a diverse, cross-functional team in a results-oriented culture. Primary Duties and Responsibilities: Develop NLP, computer vision, and deep learning solutions for complex AI use cases. Build self-service analytics capabilities that empower business teams to explore data. Implement data quality monitoring and automated alerting frameworks for pipelines. Collaborate with engineering teams to embed analytics and AI into core product workflows. Design data models and schemas optimised for analytical and high-performance workloads. Develop scalable data engineering pipelines to ingest, transform, and serve data. Build A/B testing frameworks and experimentation infrastructure for product teams. Train, evaluate, and deploy machine learning models across classification and regression tasks. Required Qualifications: Exceptional organisational skills with the ability to handle multiple concurrent responsibilities. Detail-oriented mindset with the ability to synthesise and present complex information clearly. At least 24 years of hands-on experience in a comparable professional setting. Strong interpersonal and stakeholder management skills with a client-service orientation. Commitment to ongoing professional learning and industry knowledge enhancement. Proficiency in relevant software and digital tools specific to the functional area. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. Candidates who meet the above requirements are encouraged to submit their detailed CV at the earliest opportunity.

Position: Data Architect - Data Lake & Analytics - Nationwide Opportunities An exceptional opportunity has arisen for a talented Data Architect - Data Lake & Analytics - Nationwide Opportunities to contribute to our mission. The successful candidate will be part of a collaborative, high-performance environment committed to excellence. Duties and Accountabilities: Maintain and optimise databases, data warehouses, and cloud-based data environments. Design and maintain end-to-end data pipelines, ETL workflows, and analytical models. Document data architecture, lineage, and metadata management practices comprehensively. Develop and validate machine learning models ensuring scalability and production readiness. Collaborate with data engineers and business teams to provide clean, reliable analytical data. Collect, process, and analyse large datasets using statistical and machine learning methods. Ensure data quality, accuracy, and integrity through validation and governance frameworks. Build interactive dashboards and reports that translate insights into business narratives. Key Skills and Qualifications: Critical and strategic thinking skills with the ability to translate insights into clear actions. Sound understanding of organisational dynamics and stakeholder management in complex environments. Recognised qualification in the relevant professional field at the undergraduate or graduate level. Effective presentation skills with the ability to communicate complex ideas with clarity. Advanced competency in analytical tools, reporting platforms, and role-specific technology. Leadership experience with a track record of guiding teams, projects, or cross-functional initiatives. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. We offer a competitive remuneration package commensurate with experience and market standards. Qualified candidates are encouraged to apply.

Position: Big Data DevOps Engineer We are seeking a highly qualified and motivated Big Data DevOps Engineer to join our dynamic and growing team. The candidate will join a globally connected team that prizes diverse perspectives and operational excellence. Responsibilities Include: Design and maintain end-to-end data pipelines, ETL workflows, and analytical models. Ensure data quality, accuracy, and integrity through validation and governance frameworks. Document data architecture, lineage, and metadata management practices comprehensively. Apply predictive and prescriptive analytics to solve complex business challenges. Build interactive dashboards and reports that translate insights into business narratives. Identify trends, anomalies, and patterns to generate actionable business intelligence. Develop and validate machine learning models ensuring scalability and production readiness. Collaborate with data engineers and business teams to provide clean, reliable analytical data. Skills and Qualifications: Strong communication, presentation, and interpersonal skills across all organisational levels. Familiarity with regulatory, compliance, or quality frameworks applicable to the industry. Bachelor's or master's degree in a related discipline with strong academic and professional credentials. Willingness to travel, adapt, and take on additional responsibilities as the business demands. Hands-on experience with tools, software, and platforms standard to the profession. Demonstrated teamwork skills and the ability to build trust and rapport across functions. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. This position represents a unique platform for a high-calibre professional to make a lasting contribution.

Position: Lead Data Scientist to support Data Analytics and AI ML Programs, VP We are on the lookout for a well-rounded Lead Data Scientist to support Data Analytics and AI ML Programs, VP to contribute to our operational and strategic priorities. The organisation fosters a culture of continuous learning, development, and shared organisational accountability. Core Responsibilities: Document data architecture, lineage, and metadata management practices comprehensively. Identify trends, anomalies, and patterns to generate actionable business intelligence. Apply predictive and prescriptive analytics to solve complex business challenges. Maintain and optimise databases, data warehouses, and cloud-based data environments. Work with stakeholders to define data requirements and translate them into analytical solutions. Collaborate with data engineers and business teams to provide clean, reliable analytical data. Ensure data quality, accuracy, and integrity through validation and governance frameworks. Present analytical findings to technical and non-technical stakeholders with clarity. Minimum Qualifications: Strong project management capabilities with experience in agile or structured methodologies. Knowledge of applicable regulatory frameworks, industry standards, and compliance requirements. Expertise in applying quantitative and qualitative methods to support evidence-based decisions. Excellent attention to detail and commitment to producing accurate, high-quality deliverables. Collaborative, proactive, and able to operate effectively with minimal supervision. Superior writing and communication skills with experience preparing executive-level documents. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. Successful candidates will receive access to ongoing professional development and industry-leading resources.

Position: Senior Data Engineer - Advertising, New Initiatives A distinguished opportunity awaits a seasoned Senior Data Engineer - Advertising, New Initiatives within our progressive, innovation-led organisation. This role sits within a fast-paced, innovation-driven organisation that values integrity and continuous improvement. Main Accountabilities: Manage cloud data platforms such as BigQuery, Redshift, Snowflake, or Azure Synapse. Optimise SQL queries, stored procedures, and database performance across environments. Ensure compliance with data governance, privacy regulations, and security standards. Implement data quality monitoring and automated alerting frameworks for pipelines. Build A/B testing frameworks and experimentation infrastructure for product teams. Collaborate with engineering teams to embed analytics and AI into core product workflows. Develop NLP, computer vision, and deep learning solutions for complex AI use cases. Develop scalable data engineering pipelines to ingest, transform, and serve data. Essential Skills and Experience: Collaborative, proactive, and able to operate effectively with minimal supervision. Superior writing and communication skills with experience preparing executive-level documents. Knowledge of applicable regulatory frameworks, industry standards, and compliance requirements. 4+ years of experience with a demonstrated track record of growth and professional impact. Strong project management capabilities with experience in agile or structured methodologies. Excellent attention to detail and commitment to producing accurate, high-quality deliverables. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. The organisation provides a comprehensive benefits package and excellent career advancement opportunities for the right candidate.

Position: Data Engineer - Data Ingestion - Mount Sinai COVID Informatics Center We are expanding our team and seek a driven Data Engineer - Data Ingestion - Mount Sinai COVID Informatics Center who brings expertise, initiative, and professionalism. The successful candidate will be part of a collaborative, high-performance environment committed to excellence. Scope of Responsibilities: Present analytical findings to technical and non-technical stakeholders with clarity. Collect, process, and analyse large datasets using statistical and machine learning methods. Identify trends, anomalies, and patterns to generate actionable business intelligence. Design and maintain end-to-end data pipelines, ETL workflows, and analytical models. Develop and validate machine learning models ensuring scalability and production readiness. Work with stakeholders to define data requirements and translate them into analytical solutions. Build interactive dashboards and reports that translate insights into business narratives. Document data architecture, lineage, and metadata management practices comprehensively. Competencies and Qualifications: Detail-oriented mindset with the ability to synthesise and present complex information clearly. Exceptional organisational skills with the ability to handle multiple concurrent responsibilities. Bachelor's degree in a relevant discipline; master's degree or professional certification is preferred. Strong interpersonal and stakeholder management skills with a client-service orientation. Commitment to ongoing professional learning and industry knowledge enhancement. Proficiency in relevant software and digital tools specific to the functional area. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. We offer a competitive remuneration package commensurate with experience and market standards. Qualified candidates are encouraged to apply.

Position: SENIOR DATA SCIENTIST Join our forward-thinking team as a SENIOR DATA SCIENTIST and play a pivotal role in our continued success. This position is embedded within a high-functioning team that prizes collaboration, innovation, and quality. Principal Responsibilities: Collaborate with engineering teams to embed analytics and AI into core product workflows. Develop scalable data engineering pipelines to ingest, transform, and serve data. Ensure compliance with data governance, privacy regulations, and security standards. Manage cloud data platforms such as BigQuery, Redshift, Snowflake, or Azure Synapse. Train, evaluate, and deploy machine learning models across classification and regression tasks. Publish insights, model performance reports, and data science findings to leadership. Design data models and schemas optimised for analytical and high-performance workloads. Optimise SQL queries, stored procedures, and database performance across environments. Candidate Requirements: Leadership experience with a track record of guiding teams, projects, or cross-functional initiatives. Effective presentation skills with the ability to communicate complex ideas with clarity. Commitment to professional ethics, confidentiality, and the highest standards of conduct. Critical and strategic thinking skills with the ability to translate insights into clear actions. Sound understanding of organisational dynamics and stakeholder management in complex environments. Advanced competency in analytical tools, reporting platforms, and role-specific technology. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. Applications are reviewed on a rolling basis; suitably qualified individuals are encouraged to apply promptly.

Position: Senior Analytics Consultant, Decision Analytics (Data Engineering) A dynamic organisation seeks an experienced Senior Analytics Consultant, Decision Analytics (Data Engineering) to take on a multifaceted and impactful role. This position offers the opportunity to work with a diverse, cross-functional team in a results-oriented culture. Main Accountabilities: Develop NLP, computer vision, and deep learning solutions for complex AI use cases. Develop scalable data engineering pipelines to ingest, transform, and serve data. Implement data quality monitoring and automated alerting frameworks for pipelines. Publish insights, model performance reports, and data science findings to leadership. Collaborate with engineering teams to embed analytics and AI into core product workflows. Manage cloud data platforms such as BigQuery, Redshift, Snowflake, or Azure Synapse. Build A/B testing frameworks and experimentation infrastructure for product teams. Design data models and schemas optimised for analytical and high-performance workloads. Essential Skills and Experience: Expertise in applying quantitative and qualitative methods to support evidence-based decisions. Strong project management capabilities with experience in agile or structured methodologies. Knowledge of applicable regulatory frameworks, industry standards, and compliance requirements. Collaborative, proactive, and able to operate effectively with minimal supervision. Relevant undergraduate or postgraduate degree aligned with the role's core responsibilities. Superior writing and communication skills with experience preparing executive-level documents. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. Candidates who meet the above requirements are encouraged to submit their detailed CV at the earliest opportunity.