ETC - Data Scientist (Talent Analytics and Insights)

E T Consultant - Talent Analytics and Insights This Extended Term Consultant (Talent Analytics and Insights) will support the Talent Planning and Insights CoE in delivering scalable, high-quality talent analytics, data visualization, reporting, and insight generation across the talent management portfolio. The role combines hands‑on data science, automation, and reporting expertise with the ability to translate analysis into clear, decision‑ready insights and executive‑level materials. Working closely with the Senior Specialist, the ETC will connect and operationalize integrated talent insights, enhance the efficiency and scalability of reporting through automation, and support the development of AI‑enabled solutions (e.g., agents, workflows, and data pipelines). The position offers broad exposure to talent architecture, skills‑based approaches, and digital enablement in a complex, global environment. The position is based in Washington, DC and reports to the Manager, Talent Planning and Insights. Duties and Responsibilities Conduct structured and exploratory analysis across talent data sources (e.g., HR systems, surveys, and workforce platforms) to generate insights across the employee lifecycle. Apply strong data storytelling to translate complex data into clear, compelling narratives, highlighting key trends, implications, and recommended actions. Develop high‑quality presentations, briefs, and summaries tailored to senior audiences. Deliver standard and ad‑hoc analytical outputs, ensuring accuracy, coherence, and alignment across talent initiatives, in compliance with data confidentiality and governance standards. Design, build, and maintain interactive dashboards and reporting products (e.g., Power BI) to support monitoring and decision‑making. Perform data extraction, processing, and analysis using appropriate techniques, and contribute to data quality assurance and troubleshooting to strengthen reliability and integrity of outputs. Data Automation and Digital Enablement Design and implement automated reporting and data workflows to improve efficiency, scalability, and timeliness of insights. Develop or support data pipelines and repeatable analytical products, reducing manual effort and enabling consistent reporting. Translate recurring reporting needs into standardized, reusable solutions. Explore and apply AI‑enabled tools (e.g., agents, copilots, workflow automation) to streamline analysis and reporting. Integration, Product Development, and Stakeholder Collaboration Contribute to integrated talent insights and reporting products, ensuring consistency across data sources, systems, and initiatives. Act as a bridge between HR, data, and technology teams, translating business needs into analytical outputs and actionable solutions. Support delivery of analytical components of cross‑cutting HR and talent initiatives. Develop practical, user‑oriented tools and materials to support adoption and effective use of insights. Selection Criteria Preferably a Master’s degree in Data Science, Statistics, Economics, Human Resources, Business Administration, or a related field, with at least 2 years of relevant, hands‑on experience in data analytics, HR analytics, workforce insights, or related fields; or an equivalent combination of education and relevant experience. Proven experience developing interactive dashboards and analytical products using Power BI for business and decision‑making audiences. Strong proficiency in Python for data analysis, automation, and data manipulation. Hands‑on experience designing and implementing automated reporting solutions, data pipelines, or workflow automation, with a focus on scalability and efficiency. Experience applying data science and analytical methods to generate insights from complex datasets and inform decision‑making. Experience applying generative AI to enhance data analysis, reporting, or workflow automation, with demonstrated impact on efficiency and practical outcomes. Ability to design or contribute to analytical frameworks, models, or tools that support structured, data‑driven decisions. Strong ability to translate complex data into clear, structured insights and executive‑ready materials, including presentations and written outputs for senior audiences. Demonstrated ability to connect analysis to business context, key implications, and recommended actions. Strong analytical, problem‑solving, and prioritization skills, with the ability to manage multiple priorities and deliver high‑quality outputs under tight timelines. Strong collaboration skills, with the ability to work effectively across HR, technical, and business teams. Learning agility and adaptability to operate across different topics and evolving priorities. WBG Culture Attributes Sense of urgency: Anticipate and quickly respond to the needs of internal and external stakeholders. Thoughtful risk‑taking: Challenge the status quo and push boundaries to achieve greater impact. Empowerment and accountability: Empower yourself and others to act and hold each other accountable for results. EEO and Legal Information As per WBG policy, an Extended Term (ET) appointment is subject to a lifetime maximum of three (3) years. Former and current ET staff who have completed or are in the process of completing their third-year ET appointment are not eligible for future ET appointments. We are proud to be an equal opportunity and inclusive employer with a dedicated and committed workforce, and do not discriminate based on gender, gender identity, religion, race, ethnicity, sexual orientation, or disability. Learn more about working at the World Bank and IFC including our values and inspiring stories. #J-18808-Ljbffr World Bank Group