HR Data Scientist

What You Will Do

• Develop and apply advanced statistical models, machine learning algorithms, and predictive analytics to analyse HR data, identifying trends, and predicting future outcomes related to workforce dynamics.
• Translate complex datasets into actionable insights for HR and management teams, aiding in decision-making processes regarding talent management, recruitment, retention, and employee engagement.
• Design, implement, and analyse employee surveys to gauge satisfaction, engagement, and organisational culture, making recommendations based on findings.
• Create dynamic reports and dashboards using data visualisation tools, providing clear, actionable insights into HR metrics and performance indicators.
• Work closely with HR, IT, and business units to understand their data needs and provide analytical solutions that support HR objectives and overall business strategies.
• Ensure the integrity, confidentiality, and compliance of HR data, adhering to legal and company standards regarding data privacy and protection.
  

Required Skills To Be Successful

• Advanced Excel skills
• Ability to synthesize information and data from a variety of sources
• Excellent analytical and problem resolution skills
• Ability to work under pressure and adapt to changing priorities
• Extremely detail oriented
  

What Equips You For The Role

• Bachelor's or master’s degree in data science, Statistics, Mathematics, Computer Science, or a related field.
• Proven experience as a Data Scientist or Data Analyst, preferably in an HR context, with a solid track record of applying data science methods to real-world HR challenges.
• Strong skills in statistical analysis, predictive modelling, and machine learning algorithms. Proficiency in programming languages such as Python or R and experience with SQL and data visualisation tools (e.g., Tableau, PowerBI).
• Familiarity with HR processes, practices, and metrics; experience in applying data science techniques to solve HR problems is highly desirable.
• Ability to analyse complex data sets, identify trends and patterns, and derive insights that can translate into actionable HR strategies.
• Excellent communication skills, with the ability to convey complex analytical concepts to non-technical stakeholders.
• Degrees in Data Science and HR Management or related fields.
• Certifications in data science, predictive analytics, or related areas.
• Experience with HR Information Systems (HRIS) and familiarity with HR analytics platforms.