TL;DR

Data Professional (AI): Using data as a strategic asset to improve customer experience and optimise operations, applying data science techniques like machine learning and AI to unlock value from complex datasets. Focus on generating business insights, developing visualisations, and delivering data science projects.

Location: Onsite in Aberdare, London, Birmingham, Bristol, or Manchester, United Kingdom

Company

%hirify_global% is a global leader in secure connectivity and collaboration platforms for 1.2 million business customers internationally, with over 175 years of heritage.

What you will do

Generate actionable business insights from large, complex datasets for stakeholders across CX and Business.
Assist in extracting, cleaning, and interpreting data to inform recommendations and decision-making.
Create clear, impactful dashboards and visualisations for a broad audience.
Utilise machine learning and AI algorithms for predictive modelling, clustering, sentiment & text analysis, and root cause analysis.
Contribute to multiple data science projects, collaborating with cross-functional teams to meet deadlines and objectives.
Support continuous improvement initiatives within the CX Data & Insight team to enhance efficiency and scalability.

Requirements

Strong analytical and problem-solving skills with the ability to interpret complex data.
Proficiency in Python or R for data manipulation and modelling.
Experience with SQL for querying large datasets (BigQuery).
Familiarity with machine learning frameworks (e.g., TensorFlow, scikit-learn).
Ability to create compelling data visualizations using tools like Qlik or Tableau.
Understanding of data governance, quality, and compliance principles.

Culture & Benefits

Be part of an organisation with over 175 years of heritage and a global leader in secure connectivity and collaboration platforms.
Join a B2B powerhouse serving 1.2 million business customers internationally.
Work in a company that values diversity, inclusion, and makes a positive impact by championing digital inclusion.
Be part of a diverse and multi-skilled team that makes a significant impact on society.
Opportunity for flexible working arrangements, including job share partnerships or reduced hours.
Reasonable adjustments offered for the selection process if required.