Curve Analytics

AI engineer for consumer data

In short

Middle-level AI/Data Science engineer role at a London-based consumer data analytics consultancy, building and deploying machine learning and NLP models on digital consumer data (social, search, reviews, sales). Requires a degree in CS/Statistics/Maths, experience with ML/NLP model development, strong Python and SQL skills. Hybrid work split between remote and the London HQ.

О компании
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.
Задачи
•Build innovative data science in Python
•Develop and deploy advanced machine learning models
•Proactively research and share the latest trends in data science, AI and NLP
•Explore new and novel ways to understand and enrich digital data sources
•Translate unstructured business problems into machine learning or optimisation frameworks
•Work closely with a great cross-functional Curve team – specialists in data science & engineering, strategy, insights and analytics – and interface with client counterparts
•Identify ways to improve accuracy and the business impact of our data solutions
•Interrogate and data mine rich digital sources such as social, search, surveys, reviews, clickstream, sales, IoT devices and beyond
•Research and explore opportunities to acquire new data sources and deploy new methods that deliver innovative perspectives to our clients
Требования
•Bachelor's degree or higher in an applicable field such as Computer Science, Statistics, Maths or similar Science or Engineering discipline
•Experience designing, building, testing and optimising machine learning models and NLP solutions
•Some experience with defining hypotheses and running effective data science experiments
•Strong Python skills, preferably some Object Oriented Programming in Python or other
•SQL and some data warehousing knowledge
Будет плюсом
•Experience analysing data in a marketing or other consumer-centric context
•Experience developing data solutions in cloud environments such as Azure, AWS or GCP
•Experience utilising social listening tools and/or search/web analytics tools
Условия
•We offer a competitive salary, that reflects your talent and expertise in accordance with industry standards
•25 days holiday a year plus bank holidays
•Our Annual Bonus is based on company and individual performance
•You can expect to receive a generous 8% employers' pension contribution
•Access our Cycle to Work Scheme and prioritise your health with our comprehensive AXA Private Healthcare Plan and 24/7 Employee Assistance Programme
•You will also be assigned a dedicated People Manager for confidential discussions about your work life
•Split your time between working remotely and from our London HQ
•You will be able to create a Personalised Growth Plan and get involved in our internal trainings
•You will also get a yearly individual learning budget for training, books, courses, certifications, and conferences
•Be part of a dynamic company culture with frequent team activities, company events and socials that foster a strong sense of community among our diverse team

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