Ekimetrics is a pioneering leader in data science and AI-powered solutions for sustainable business performance
Marketing • Statistics • Big Data • CRM • Marketing Mix Modeling
April 5
🔄 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
• Be part of commercial activities, pitching to prospective clients • Steer and manage large projects for globally recognised clients - • Manage end-to-end Data Science & AI projects, including, planning, design, and implementation. • Work on Data Science transformations working with Gen Ai, LLM’ & NLP’s • Create real valuable actionable solutions for clients. • Manage and coach a small team of 3-10 consultants. • Be a HR mentor responsible for the growth of junior employee’s career development.
• A degree in Computer Science / Engineering with 5+ years of back-end development OR experience in developing advanced algorithms. • Prior experience using Data Science & AI /Data Architecture/DWH/Data-lakes in a business setting, preferably in a client-facing, consulting-oriented role; • Experience developing and deploying production-ready Data Engineering pipelines. • Expertise in key technologies related to Data Management, e.g. SQL, Spark, Python • Experience with the Azure cloud platform • Experience with Advance Python Libraries I.e., Pandas, Pyspark • Experience with development best practices (git, testing, coding standards, CI/CD, documentation, code refactoring...) • A love of data and understanding of some algorithmic / analytics such as decision tree, clustering, NLP, regression, graph theory, neural networks etc. • Expertise in some aspects of Data Management and readiness to grow in others: o Data analytics architectures; o Data governance processes and platforms; o Data ingestion & transformation in data warehouses or data-lakes; o Data visualisation. • Experience in Private Equity (PE) or in sustainability using AI
• Competitive salary + Bonus Scheme • Hybrid working (2 days a week in the office) • 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 and learning opportunities
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