AI Engineer

Curveanalytics
London
6 days ago
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Curve is a next-gen insights, analytics and technologyconsultancy that leverages digital consumer data and advancedtechnology to help businesses unlock consumer opportunities.Digital consumer data is powerful; it’s big, it’s real, and it’salways updating. We use a combination of in-house technology andbespoke solutions, powered by AI, to transform data from sourcessuch as Social, Reviews, Search, and broader marketing and salesdata. These reveal fresh insights for our clients; helping them tobuild better products and brands, to deliver effective marketing toconsumers. Our software, machine learning and AI are key to how wedeliver impact, centred on: - Natural Language Processing, GPT& other LLMs: unearthing trends, themes and other patterns fromlarge text-based data sets, and deploying state-of-the-art AI toautomate and empower consumer facing businesses and their insights& analytics functions - Marketing Data Science &Personalisation: using first party consumer data to understand eachclient’s consumer base, building personalisation and other machinelearning models to better engage with and excite consumers - DataEngineering & Data Architecture: data engineering across avariety of tools to integrate these leading technologies intooptimised and efficient data models and ecosystems, feeding intobest-in-class analytics dashboards, marketing activation andfront-end platforms - Software Engineering: full stack expertise tobuild, maintain and support internal and externally facing Software& Data as a Service solutions, in AWS, that accelerate deliveryand unlock deeper insights for our clients As a start-up, we canmove faster than most companies and do things differently. We haveexperienced rapid growth so far and we’re looking for a AI Engineerto join our growing team. ABOUT THE ROLE You’ll play a crucial rolein designing, prototyping and evaluating innovative data sciencesolutions, powered by digital consumer data sources. Through yourproactive research, and driven by your passion for data science,you’ll surface the latest AI and NLP innovations, connecting thedots with Curve’s use cases to propose novel solutions to our mostchallenging problems. You’ll work on a mix of small proof ofconcepts and larger projects, both of which push the boundaries ofwhat we can do with digital data and technology; buildinginnovative models on top of the latest open source tools, as wellas making use of cutting edge AI APIs from OpenAI, Google,Microsoft and AWS. You’ll regularly share your knowledge of therapidly changing and exciting world of AI to ensure Curve benefitsfrom your ongoing research. Additionally, you’ll work to shape thefuture of our fast-growing London start-up, driving and enhancingour data science capabilities and best practices as we continue togrow, playing a key part in maintaining our Technology Team’scompetitive edge. We are looking for a passionate and ambitiousdata scientist, enthusiastic about continuously learning throughexploring and experimenting with trends in data science and NLP,with a keen interest in applying innovative approaches to digitalconsumer data sources for the benefit of Curve and our clients.WHAT YOU’LL BE DOING - Develop innovative data science models andprototypes in Python, from scratch - Proactively research,experiment with, and share the latest trends in data science, AIand NLP - Translate unstructured business problems into clearrequirements - Interrogate and data mine rich digital consumer datasources such as social posts, search engine data, product reviews,clickstream data and beyond - Proactively and continuously identifyand propose ways to improve the impact of our data solutions -Explore new and novel ways to understand and enrich digitalconsumer data sources - Work closely with an amazingcross-functional Curve team from specialists in data science &engineering to strategy, insights and analytics experts WHAT WE’RELOOKING FOR - Bachelor’s degree or higher in an applicable fieldsuch as Computer Science, Statistics, Maths or similar Science orEngineering discipline - Experience designing, developing,evaluating and optimising data science models and NLP solutions -3+ years’ experience with Python, with strong code design skills,and preferably OOP experience - Passionate about AI and NLP, withdemonstrable experience researching, experimenting with andcommunicating the benefits of new data science technologies andmethods - Some experience with defining hypotheses and runningeffective data science experiments - SQL and some data warehousingknowledge NICE TO HAVES OR EXCITED TO LEARN: - Experience analysingdata in a marketing or other consumer-centric context - Experiencedeveloping data solutions in cloud environments such as Azure, AWSor GCP - Experience utilising social listening tools and/orsearch/web analytics tools Get to know Curve's journey and meetsome of the minds fuelling our passion#J-18808-Ljbffr

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