Gen-AI Data Scientist - Tech Strategy & Insights

Gen-AI Data Scientist - Tech Strategy & Insights

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Liberty Global

At a Glance

  • Tasks: Drive tech decisions using advanced data science and AI to create innovative products.
  • Company: Join a leading telecommunications company focused on cutting-edge technology.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and career advancement.
  • Why this job: Make an impact by shaping the future of technology with Gen-AI solutions.
  • Qualifications: Graduate degree in a quantitative field and 3+ years in data science required.

The predicted salary is between 60000 - 80000 £ per year.

Requirements

  • Graduate degree in Data Science, Statistics, Computer Science, Engineering, or related quantitative field
  • 3+ years in data science with focus on building Data and AI products
  • Advanced proficiency in Python, R, and SQL with expertise in statistical analysis, machine learning algorithms, and data visualization
  • Full-stack development experience with cloud technologies (GCP preferred)
  • Strong expertise in building Gen-AI native products and services
  • Strong analytical and problem-solving skills—translating complex datasets and technical findings into actionable business recommendations
  • Excellent communication skills for presenting sophisticated analytical findings to senior leadership and technical stakeholders
  • (Desirable) Knowledge of telecommunications technology: network infrastructure, cloud platforms, software architecture, and emerging technologies
  • (Desirable) Proficiency in advanced analytics tools: cloud-based data science environments, big data technologies, and Gen-AI/ML platforms

What the job involves

  • Apply advanced data science, machine learning, AI/Gen-AI, and predictive analytics to drive technology decisions
  • Your work will support due diligence, market analysis, competitive intelligence, and strategic roadmap development through sophisticated modelling, performance analysis, and forecasting
  • Create technology strategy data and AI frameworks, building advanced analytical models to support decision-making across Liberty Global
  • Build Gen-AI native products and services for across the group
  • Develop data aggregation, correlation, and visualization capabilities for technology performance metrics, market trends, and competitive intelligence
  • Apply statistical and machine learning techniques to analyze technology adoption patterns, performance benchmarks, and strategic opportunities
  • Define and monitor KPIs for technology strategy initiatives, innovation programs, and strategic investments
  • Create comprehensive benchmarking capabilities comparing Liberty Global's technology performance against industry leaders
  • Collaborate with Technology and AI teams to develop proof of concepts using emerging AI and ML technologies
  • Drive innovation in technology strategy analytics: NLP for trend analysis, automated competitive intelligence, and predictive forecasting
  • Develop AI-powered capabilities for technology due diligence automation, market intelligence gathering, and strategic opportunity identification

Gen-AI Data Scientist - Tech Strategy & Insights employer: Liberty Global

Liberty Global is an excellent employer, offering a dynamic work environment that fosters innovation and collaboration in the rapidly evolving field of AI and connectivity. With a strong commitment to employee growth, the company provides ample opportunities for professional development and encourages a culture of creativity and teamwork. Located in a vibrant tech hub, employees benefit from a supportive atmosphere that values diversity and promotes cutting-edge solutions in customer service.

Liberty Global

Contact Details:

Liberty Global Recruitment Team

We think you need these skills to ace Gen-AI Data Scientist - Tech Strategy & Insights

Data Science
Statistical Analysis
Machine Learning Algorithms
Data Visualization
Python
R
SQL