AI Engineer

7 days ago

London, United Kingdom Curve Analytics Full time £150 - £200

Role DescriptionCurve is a next-gen insights, analytics and technology consultancy that leverages digital consumer data and advanced technology to help businesses unlock consumer opportunities. Digital consumer data is powerful; it’s big, it’s real, and it’s always updating. We use a combination of in-house technology and bespoke solutions, powered by AI, to transform data from sources such as Social, Reviews, Search, and broader marketing and sales data. These reveal fresh insights for our clients; helping them to build better products and brands, to deliver effective marketing to consumers.What You’ll Be DoingDevelop innovative data science models and prototypes in Python, from scratchProactively research, experiment with, and share the latest trends in data science, AI and NLPTranslate unstructured business problems into clear requirementsInterrogate and data mine rich digital consumer data sources such as social posts, search engine data, product reviews, clickstream data and beyondProactively and continuously identify and propose ways to improve the impact of our data solutionsExplore new and novel ways to understand and enrich digital consumer data sourcesWork closely with an amazing cross-functional Curve team from specialists in data science & engineering to strategy, insights and analytics expertsWhat We’re Looking ForBachelor’s degree or higher in an applicable field such as Computer Science, Statistics, Maths or similar Science or Engineering disciplineExperience designing, developing, evaluating and optimising data science models and NLP solutions3+ years’ experience with Python, with strong code design skills, and preferably OOP experiencePassionate about AI and NLP, with demonstrable experience researching, experimenting with and communicating the benefits of new data science technologies and methodsSome experience with defining hypotheses and running effective data science experimentsSQL and some data warehousing knowledgeNice To Haves Or Excited To LearnExperience analysing xpwpeyx data in a marketing or other consumer-centric contextExperience developing data solutions in cloud environments such as Azure, AWS or GCPExperience utilising social listening tools and/or search/web analytics toolsInterview Process30 minute video interview with the People & Operations Team60 minute technical video interview with our Lead Software EngineerFinal interview with our Partner, Head of TechnologySeniority levelMid-Senior levelEmployment typeFull-timeJob functionEngineering and Information TechnologyIndustriesBusiness Consulting and Services#J-18808-Ljbffr

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