Ekimetrics is a pioneering leader in data science and AI-powered solutions for sustainable business performance
Marketing • Statistics • Big Data • CRM • Marketing Mix Modeling
August 9
🔄 Hybrid – London
Ekimetrics is a pioneering leader in data science and AI-powered solutions for sustainable business performance
Marketing • Statistics • Big Data • CRM • Marketing Mix Modeling
• Work closely with Data Scientists to industrialize their designs • Implement high-performance, scalable backend solutions • Identify and provide tools and advice for data ingestion, processing, and analysis, empowering other domains to gain valuable insights • Proactively support managers in building high-end client materials and commercial proposals • Be the subject matter expert, advising and building solutions in the contexts of PoC, Datalab, or Datalake • Have an innovative mindset to implement complex algorithms in a robust backend environment • Provide engineering leadership and mentoring; contribute to the development of software engineers through knowledge sharing and mentorship • Manage the technical relationship between Ekimetrics and our clients in the UK and internationally • Develop and share your knowledge in your project teams and in the context of exciting Innovation and R&D topics
• Degree in Computer Science, Engineering, Mathematics, or a related field with relevant industry experience and a passion for data • Extensive experience in Azure cloud platform architecture and in-depth experience developing and deploying production-ready backend solutions • Experience building data products incrementally and integrating and managing datasets from multiple sources • Hands-on experience in key backend technologies, including but not limited to Python, Java, SQL, and cloud services • Experience working with different file formats and database management systems including NoSQL databases • Conceptual understanding of data management including governance processes and platforms, data visualization, and transformation in data warehouses or data lakes • Ability to apply analytical and innovative thought processes in creating market-ready backend capabilities
• Competitive Salary + Bonus Scheme • Hybrid working (2 days a week in the office) • Work remote anywhere up to 20 days a year • 25 days annual leave (+ Bank Holidays and additional days for tenure) • Private healthcare, life insurance, critical illness cover, and professional wellbeing support services • Group pension scheme • An emphasis on work-life-balance and a strong company culture • Unique training programs, certifications and learning opportunities. • Opportunities for international mobility • Regular socials and events
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