Data Analyst

Location Oxford
Discipline: Machine Learning
Contact name: Tom Goldberg

Contact email: tom@enigma-rec.ai
Published: 26 days ago

This company works at the forefront of developing and applying advanced technology to address some of humanity's most critical and persistent challenges. With guidance from distinguished scientists and entrepreneurs, it drives innovation by enhancing scientific and technological progress across key areas: health and medical science, food security and sustainable agriculture, climate change and clean energy, as well as advancements in government and artificial intelligence.

This role requires an individual with strong analytical skills and significant industry experience to guide data acquisition strategies and maintain data management excellence. The Data Analyst acts as a bridge between business stakeholders and technical teams, ensuring analytical insights are relevant and reflect industry-specific challenges.

Key Responsibilities

  • Direct data acquisition strategies informed by a deep understanding of industry trends

  • Serve as a liaison between technical teams and business stakeholders

  • Map data needs to specific business challenges

  • Develop and implement data collection frameworks and processes

  • Audit data for completeness, accuracy, and potential AI applications

  • Develop machine learning-specific data quality frameworks

  • Assess data for biases, gaps, and ethical considerations

  • Prepare detailed documentation on data attributes and limitations

  • Provide guidance on data preprocessing and potential enhancements

  • Evaluate data governance and compliance requirements

  • Design and maintain data readiness and assessment metrics

  • Collaborate with AI teams to align data management with model requirements

Requirements

  • Holds a bachelor's degree in a relevant discipline

  • Has 5+ years of industry experience, with at least 2+ years in data analysis

  • Demonstrates the ability to apply domain expertise to analytical frameworks

  • Exhibits strong data literacy and analytical acumen

  • Possesses excellent stakeholder management capabilities

  • Is proficient in SQL and either Python or R for data analysis

  • Experienced with visualization tools like Tableau

  • Familiar with statistical analysis and research methodologies

What They Offer

  • Be part of impactful, long-term programs aimed at societal betterment.

  • A unique chance to help build and lead the AI Capability team from the start.

  • Work in a dynamic environment alongside experts in AI and technology.

  • Thrive in a setting that values creativity, innovation, and respect.

  • Access state-of-the-art resources to drive rapid, ethical AI development.

  • A hybrid policy balancing office collaboration and remote flexibility.

  • Compensation that reflects expertise and contributions.