People Analytics Scientist - AI Insights for Talent (Hybrid)

Sage; Newcastle upon Tyne; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A global technology firm in Newcastle is seeking a People Data Scientist to develop advanced analytics and AI-driven solutions. In a hybrid role, you will work 3 days in the office and 2 from home. You will build predictive models for workforce analytics, partner with HR teams, and create data visualizations. Ideal candidates have strong Python and SQL proficiency, experience with HR data, and a degree in a quantitative discipline. Competitive benefits include bonuses, a pension scheme, and enhanced parental leave.

Benefits

Generous bonuses and pension scheme

25 days of paid annual leave

Paid volunteer days

Enhanced parental leave

Comprehensive health coverage

Work away scheme

Access to memberships for wellbeing

Qualifications

• Strong proficiency in Python and SQL.
• Experience working with HR data sources or related workforce datasets.
• Knowledge of people analytics methodologies.

Responsibilities

• Develop predictive and prescriptive people analytics models.
• Translate workforce challenges into actionable insights.
• Create dashboards and visualizations for workforce insights.

Skills

Python

SQL

HR data sources (Workday, SuccessFactors)

Machine learning algorithms

Data visualization tools (Tableau, Power BI)

Big data frameworks (Spark, Databricks)

Education

Degree in a quantitative discipline

Tools

Scikit-learn

PyTorch

Snowflake

AWS

Job description

A global technology firm in Newcastle is seeking a People Data Scientist to develop advanced analytics and AI-driven solutions. In a hybrid role, you will work 3 days in the office and 2 from home. You will build predictive models for workforce analytics, partner with HR teams, and create data visualizations. Ideal candidates have strong Python and SQL proficiency, experience with HR data, and a degree in a quantitative discipline. Competitive benefits include bonuses, a pension scheme, and enhanced parental leave.