Data Scientist, People & Culture, DIOnew

Job Description

We are looking for an experienced Data Scientist to join our Workforce Insights team, where you will help transform how the organisation understands, plans and develops its workforce.

In this role, you will apply advanced analytics, machine learning, Generative AI and modern data science techniques to solve complex workforce challenges. Leveraging Microsoft Fabric, Azure AI and large-scale people data, you will develop predictive models, AI-enabled solutions and actionable insights that support workforce planning, skills intelligence, talent management, organisational effectiveness and employee experience.

Working closely with People & Culture, business leaders, data engineers and technology teams, you will translate business challenges into scalable analytical products that drive evidence-based decision making and unlock measurable business value.

Qualifications

Minimum qualifications
Postgraduate qualification in Data Science, Statistics, Mathematics, Computer Science, Operations Research, Engineering, Econometrics or a related quantitative discipline.

Experience required

• 5-8 years experience in Data Science, Advanced Analytics or Machine Learning, with demonstrated experience developing and operationalising machine learning solutions in cloud environments.
• Must have experience working with Microsoft Fabric, Azure and modern enterprise data platforms.
• Track record delivering business impact through AI, predictive analytics and advanced modelling with the ability to communicate complex analytical concepts to senior business stakeholders.
• Develop and deploy advanced analytics, machine learning and Generative AI solutions to address strategic workforce challenges.
• Build predictive models and workforce intelligence products that support talent, skills, succession, productivity and workforce planning decisions.
• Leverage Microsoft Fabric, OneLake, Power BI and Azure AI services to create scalable, production-ready solutions.
• Transform large and complex workforce datasets into actionable insights, compelling narratives and executive decision support.
• Apply Responsible AI principles, ensuring solutions are ethical, explainable, secure and compliant.
• Partner with People & Culture and business stakeholders to identify opportunities where data science and AI can improve workforce outcomes and employee experiences.
• Contribute to the evolution of the Workforce Insights function by introducing leading practices in AI, analytics and decision intelligence.
• Experience within People & Culture, Workforce Analytics, Organisational Effectiveness or related domains would be highly advantageous.

 

Behavioural Competencies:

• Adopting Practical Approaches
• Articulating Information
• Challenging Ideas
• Checking Things
• Examining Information
• Exploring Possibilities
• Interacting with People
• Interpreting Data
• Meeting Timescales
• Producing Output
• Providing Insights
• Team Working

Technical Competencies:

• Data Analysis
• Database Administration
• Data Integrity
• Knowledge Classification
• Research & Information Gathering

Additional Information