Curve 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.Our software, machine learning and AI are key to how we deliver impact, centred on:Natural Language Processing, GPT and other LLMs : unearthing trends, themes and other patterns from large text-based data sets, and deploying state-of-the-art AI to automate and empower consumer facing businesses and their insights and analytics functionsMarketing Data Science and Personalisation : using first party consumer data to understand each client’s consumer base, building personalisation and other machine learning models to better engage with and excite consumersData Engineering and Data Architecture : data engineering across a variety of tools to integrate these leading technologies into optimised and efficient data models and ecosystems, feeding into best-in-class analytics dashboards, marketing activation and front-end platformsSoftware Engineering:

full stack expertise to build, maintain and support internal and externally facing Software and Data as a Service solutions, in AWS, that accelerate delivery and unlock deeper insights for our clientsAs a start-up, we can move faster than most companies and do things differently. We have experienced rapid growth so far and we’re looking for a AI Engineer to join our growing team.ABOUT THE ROLEYou’ll play a crucial role in designing, prototyping and evaluating innovative data science solutions, powered by digital consumer data sources. Through your proactive research, and driven by your passion for data science, you’ll surface the latest AI and NLP innovations, connecting the dots with Curve’s use cases to propose novel solutions to our most challenging problems. You’ll work on a mix of small proof of concepts and larger projects, both of which push the boundaries of what we can do with digital data and technology; building innovative models on top of the latest open source tools, as well as making use of cutting edge AI APIs from OpenAI, Google, Microsoft and AWS.You’ll regularly share your knowledge of the rapidly changing and exciting world of AI to ensure Curve benefits from your ongoing research. Additionally, you’ll work to shape the future of our fast-growing London start-up, driving and enhancing our data science capabilities and best practices as we continue to grow, playing a key part in maintaining our Technology Team’s competitive edge.We are looking for a passionate and ambitious data scientist, enthusiastic about continuously learning through exploring and experimenting with trends in data science and NLP, with a keen interest in applying innovative approaches to digital consumer data sources for the benefit of Curve and our clients.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 and 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 LEARN:Experience analysing 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 toolsGet to know Curve''s journey and meet some of the minds fuelling our passion

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