Data Scientist
london, south east england, United Kingdom
Hybrid / WFH Options
Hybrid / WFH Options
Careerwise
visualizations to communicate findings to both technical and non-technical stakeholders. Stay current with emerging trends in machine learning, big data technologies, and cloud computing to continuously improve our solutions. Qualifications: Master's or Ph.D. degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related fields. Proven experience … . Expertise in SQL for querying large datasets and optimizing performance. Experience working with big data technologies such as Hadoop, Apache Spark, and other distributed computing frameworks. Solid understanding of machine learning algorithms, data preprocessing, model tuning, and evaluation. Experience in working with LLM (Large Language Models) and More ❯
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