Role Description

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.

What You’ll Be Doing

• Develop innovative data science models and prototypes in Python, from scratch
• Proactively research, experiment with, and share the latest trends in data science, AI and NLP
• Translate unstructured business problems into clear requirements
• Interrogate and data mine rich digital consumer data sources such as social posts, search engine data, product reviews, clickstream data and beyond
• Proactively and continuously identify and propose ways to improve the impact of our data solutions
• Explore new and novel ways to understand and enrich digital consumer data sources
• Work closely with an amazing cross-functional Curve team from specialists in data science & engineering to strategy, insights and analytics experts

What We’re Looking For

• Bachelor’s degree or higher in an applicable field such as Computer Science, Statistics, Maths or similar Science or Engineering 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, with demonstrable experience researching, experimenting with and communicating the benefits of new data science technologies and methods
• Some experience with defining hypotheses and running effective data science experiments
• SQL and some data warehousing knowledge

Nice To Haves Or Excited To Learn

• 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

Interview Process

• 30 minute video interview with the People & Operations Team
• 60 minute technical video interview with our Lead Software Engineer
• Final interview with our Partner, Head of Technology

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Business Consulting and Services