3 ноя

AI engineer for consumer data

ориентир по рынку
вакансия зп не указана
в среднем 201 763 ₽
Загрузи резюме, чтобы видеть мэтчи с вакансиейЗагрузи резюме, чтобы видеть мэтч с вакой

подготовься к отклику

ai-инструменты

Чтобы адаптировать резюме под вакансию или составить сопроводительное письмо, загрузи резюме

описание

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.

Если просят выйти из iCloud, прислать код из SMS, запустить или установить что-то, перевести деньги — не соглашайся: это мошенничество.

Если просят выйти из iCloud, прислать код из SMS, запустить или установить что-то, перевести деньги — не соглашайся: это мошенничество.