Data Scientist

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 & 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 & analytics functions
• Marketing Data Science & 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 consumers
• Data Engineering & 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 platforms
• Software Engineering: full stack expertise to build, maintain and support internal and externally facing Software & Data as a Service solutions, in AWS, that accelerate delivery and unlock deeper insights for our clients

As 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 Data Scientist to join our growing team.

You’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.

• 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

• 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

• 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

1. 30 minute video interview with the People & Operations Team
2. 60 minute technical video interview with our Lead Software Engineer
3. Final interview with our Director of Technology