Duration:
6-month contract position Rate:
inside IR35 Hours:
37.5 hours per week. Location:
Remote, option to go into the office once a month About the Role: This exciting opportunity with one of our clients who is a globally recognised name within food and nutrition is for a Senior Data Scientist to join the Talent Management Center of Excellence (COE) at a leading global organization. The COE is dedicated to attracting and retaining top talent, focusing on career development, performance management, leadership development, and manager capability. This role will significantly impact organizational success by leveraging data insights to enhance the manager experience and overall productivity. Key Responsibilities: Data Collection and Processing: Gather, clean, validate, and prepare data from diverse sources including surveys, focus groups, reports, databases, and feedback platforms for in-depth analysis.
Data Analysis: Employ advanced statistical methods and data visualization to interpret data, uncover trends, and create actionable insights. Lead the development of analytical approaches, collaborating with data engineers, business leaders, and developers to build robust, scalable, and easily interpretable data models.
Reporting and Visualization: Create clear, concise reports and dashboards utilizing tools like Power BI, REACT, or Excel. Work collaboratively with the Talent Marketplace adoption manager to refine and optimize existing reports.
Collaboration: Partner closely with cross-functional teams (Segment Talent, P&O Business Partners, MGS reporting, Culture COE) to understand their data requirements and deliver impactful, data-driven solutions. Actively participate in projects focused on improving manager satisfaction and engagement.
Communication: Effectively communicate data findings, analytic approaches, and their implications to business partners. Advocate for data-driven decision-making and clearly explain complex analysis.
Process Improvement: Analyze processes and identify areas for optimization based on data insights to improve manager experience.
Data System Management: Maintain data integrity, ensure efficient data systems operations, and leverage your understanding of data architecture to build innovative features combining both internal and external data sources.
Predictive Analysis: Utilize predictive modeling techniques to anticipate future trends and recommend data-driven strategies to guide HR initiatives.
Qualifications: Experience: Proven experience in a data science role or comparable experience.
Expertise in statistical modeling (e.g., significance testing, GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis) using tools such as Spark, Scala, SAS, R, Python, Bayesia, H2O, Storm, Yarn, and Kafka.
Proven experience querying databases using SQL and Hive.
Hands-on experience working with large datasets using big data platforms like Hadoop ecosystem (Azure), and in-memory solutions (SAP HANA and Apache Spark).
Proficient in data visualization tools such as Tableau, Power BI, D3, or ggplot.
Skills:
Data Science, Algorithms, Data Analysis, NLP, Statistics, Data Visualization, Project Management, Planning & Organizing, Document Preparation Competencies:
Ensures Accountability, Plans and Aligns, Action-Oriented, Tech Savvy, Business Insight, Optimizes Work Processes, Cultivates Innovation, Drives Engagement, Manages Complexity, Situational Adaptability DE&I We are committed to providing equal employment opportunities and encourage all qualified candidates to apply. While the hiring process may not be expedited, we urge all interested candidates to submit their applications promptly to ensure their consideration.
#J-18808-Ljbffr
6-month contract position Rate:
inside IR35 Hours:
37.5 hours per week. Location:
Remote, option to go into the office once a month About the Role: This exciting opportunity with one of our clients who is a globally recognised name within food and nutrition is for a Senior Data Scientist to join the Talent Management Center of Excellence (COE) at a leading global organization. The COE is dedicated to attracting and retaining top talent, focusing on career development, performance management, leadership development, and manager capability. This role will significantly impact organizational success by leveraging data insights to enhance the manager experience and overall productivity. Key Responsibilities: Data Collection and Processing: Gather, clean, validate, and prepare data from diverse sources including surveys, focus groups, reports, databases, and feedback platforms for in-depth analysis.
Data Analysis: Employ advanced statistical methods and data visualization to interpret data, uncover trends, and create actionable insights. Lead the development of analytical approaches, collaborating with data engineers, business leaders, and developers to build robust, scalable, and easily interpretable data models.
Reporting and Visualization: Create clear, concise reports and dashboards utilizing tools like Power BI, REACT, or Excel. Work collaboratively with the Talent Marketplace adoption manager to refine and optimize existing reports.
Collaboration: Partner closely with cross-functional teams (Segment Talent, P&O Business Partners, MGS reporting, Culture COE) to understand their data requirements and deliver impactful, data-driven solutions. Actively participate in projects focused on improving manager satisfaction and engagement.
Communication: Effectively communicate data findings, analytic approaches, and their implications to business partners. Advocate for data-driven decision-making and clearly explain complex analysis.
Process Improvement: Analyze processes and identify areas for optimization based on data insights to improve manager experience.
Data System Management: Maintain data integrity, ensure efficient data systems operations, and leverage your understanding of data architecture to build innovative features combining both internal and external data sources.
Predictive Analysis: Utilize predictive modeling techniques to anticipate future trends and recommend data-driven strategies to guide HR initiatives.
Qualifications: Experience: Proven experience in a data science role or comparable experience.
Expertise in statistical modeling (e.g., significance testing, GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis) using tools such as Spark, Scala, SAS, R, Python, Bayesia, H2O, Storm, Yarn, and Kafka.
Proven experience querying databases using SQL and Hive.
Hands-on experience working with large datasets using big data platforms like Hadoop ecosystem (Azure), and in-memory solutions (SAP HANA and Apache Spark).
Proficient in data visualization tools such as Tableau, Power BI, D3, or ggplot.
Skills:
Data Science, Algorithms, Data Analysis, NLP, Statistics, Data Visualization, Project Management, Planning & Organizing, Document Preparation Competencies:
Ensures Accountability, Plans and Aligns, Action-Oriented, Tech Savvy, Business Insight, Optimizes Work Processes, Cultivates Innovation, Drives Engagement, Manages Complexity, Situational Adaptability DE&I We are committed to providing equal employment opportunities and encourage all qualified candidates to apply. While the hiring process may not be expedited, we urge all interested candidates to submit their applications promptly to ensure their consideration.
#J-18808-Ljbffr
