• Own and evolve Keyloop’s People Data Platform and HR analytics dashboard (Python/Streamlit) • Design and maintain data architecture (pipelines, schemas, models) across SAP SuccessFactors and other HR systems • Manage API integrations and data access with core platforms and third-party vendors • Deliver insights across People Metrics, TA, L&D, and Engagement, partnering with functional leads • Own BAU reporting, driving accuracy, automation, and self-service adoption • Ensure GDPR and data compliance, including access controls and auditability • Build and scale AI-driven HR solutions (LLMs, agentic workflows, document processing, large-scale pipelines) • Develop production-ready AI use cases (e.g., attrition insights, skills inference, policy Q&A, candidate processing) and evaluate emerging tools • Act as HR AI SME, enabling adoption through training, playbooks, and self-service frameworks across HR and G&A • Partner with senior leadership, IT (AWS), and governance forums to shape the People Technology roadmap and responsible AI practices

• Assist in building and maintaining ETL/ELT data pipelines using Matillion or similar tools • Work with Snowflake to store, process, and analyze data • Write, optimize, and maintain SQL queries for large datasets • Perform data extraction, transformation, and loading from multiple sources (APIs, S3 files, databases) • Monitor and troubleshoot data workflows and pipelines • Support scheduling and automation of jobs using orchestration tools • Ensure data quality, consistency, and reliability • Collaborate with team members and stakeholders to understand data requirements • Maintain proper documentation for data processes and workflows • Work in a fast-paced, collaborative environment while demonstrating ownership, analytical thinking, and problem-solving skills • Continuously learn and adapt to new technologies, tools, and data engineering practices

• Assist in building and maintaining ETL/ELT data pipelines using Matillion or similar tools • Work with Snowflake to store, process, and analyze data • Write, optimize, and maintain SQL queries for large datasets • Perform data extraction, transformation, and loading from multiple sources (APIs, S3 files, databases) • Monitor and troubleshoot data workflows and pipelines • Support scheduling and automation of jobs using orchestration tools • Ensure data quality, consistency, and reliability • Collaborate with team members and stakeholders to understand data requirements • Maintain proper documentation for data processes and workflows • Work in a fast-paced, collaborative environment while demonstrating ownership, analytical thinking, and problem-solving skills • Continuously learn and adapt to new technologies, tools, and data engineering practices

Role Description This is a high-output, short-term 2-week project focused on standardising and validating records using AI-assisted tools. We are seeking detail-oriented professionals to join a fast-paced data alignment initiative across clinical, pharmacy, and laboratory datasets. All selected candidates will work within a structured workflow to support a combined target of a minimum of 3,000 validated records per day. - Laboratory Scientist (Medical Data) - Validate laboratory and diagnostic data using LOINC coding standards - Correct errors in AI-generated suggestions via the dedicated data portal - Pharmacy Specialist - Map and validate medication data using RxNorm standards - Review and correct AI-generated pharmacy-related patient records - Clinical Specialist (Doctor) - Assign and validate ICD-10 diagnostic codes - Review and refine prediction engine outputs for clinical accuracy - Project Supervisor (Senior Clinical Reviewer) - Perform a mandatory 25% audit of all daily record batches - Oversee quality assurance across specialist outputs - Resolve discrepancies and ensure data integrity Qualifications - Relevant qualification (Medical Doctor, Pharmacist, Lab Scientist, or related clinical field) - Exposure to clinical coding systems (ICD-10, LOINC, RxNorm) - Proven ability to maintain high levels of accuracy and consistency when handling large volumes of data - Strong analytical and problem-solving skills with excellent attention to detail - Digitally proficient, with experience using Microsoft Excel, Google Sheets, or similar data management tools - Strong written and verbal communication skills, with the ability to work effectively in a fast-paced, structured environment - Ability to work independently, take initiative, and deliver within strict deadlines - Comfort working with AI-assisted workflows and structured digital tools - Availability for the full duration of the 2-week project, including weekends - Commitment to data privacy, confidentiality, and integrity Benefits - This is a performance-driven, paid gig that offers the opportunity to work collaboratively within a dynamic and diverse team Company Description Helium Health is an equal opportunity employer, thus it is not biased in its employment to any race, colour, creed, religion, sex or physical disability.