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Dell Inc. in London (Creechurch) is seeking a Data Scientist (Analyst, Data Science) to lead advanced analytics and machine learning initiatives. You will design scalable models, optimize algorithms, and collaborate with teams to deliver insights that drive business decisions.
Role focuses on developing new data-driven approaches, collaborating with business leaders, and applying statistical methods to petabyte-scale data to enable smarter strategies and outcomes.
Role Title: Data Scientist (Analyst, Data Science)
Location: Creechurch, London - UK
Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods,and models. What’s more, we are in collaboration with leading academics, industry experts,and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.
As an Data ScienceAnalyst, you will lead initiatives in advanced analytics, machine learning, and data-driven decision-making. You will design scalable models, optimize algorithms, and collaborate across teams to deliver actionable insights. You will champion innovation and ensure data science solutions align with business objectives.
Join us to do the best work of your career and make a profound social impact as anAnalyston ourData Scienceteam.
You’ll develop fundamental new approaches to generating meaning and value from internal data technologies, often working closely with business leaders and their supporting functions. You’ll developd new methodologies and tools to enable advanced modeling and statistical analysis against petabyte-scale data sets from disparate data sources. You’ll also seek to understand our stakeholder’s most urgent questions and uses statistical methods and models to provide answers or generate recommendations for process improvements and work with data engineers to create new tools and features that support sophisticated analytics within the database.