We are a predictive customer science business. Focused on automating actionable customer insights, powered by artificial intelligence

Founded 2017
16-50 employees
  • Analytics & Business Information
  • Information Systems
  • Headquarters address
    SW10 0XF

    What we do

    Outra is a predictive data science business. We know the most predictive data wins. Everyone understands data is a key asset but few have the capability to maximise the returns at speed. We have assembled a world-class team, with an unparalleled track record that spans customer profiling, marketing and data science. Our platform connects data, applying predictive science & analytics, to bring brands closer to their customers.

    We put brands in control of their data, and give them market leading tools automating data management and science, with accuracy and speed, to execute the right strategy for every customer and prospect – all in the context of GDPR and ePrivacy. We continue to develop our proprietary data set, combining unique data sources to understand consumers in new and innovative ways.

    Outra believes a diverse, inclusive workforce makes us a stronger company. We’re committed to hiring people of all races, ethnicities, ages, sex, genders, sexual orientation or gender identities, religions, and disabilities.

    Why Join Us?

    Central to our ethos is bringing together some of the world’s best minds from a diverse range of backgrounds. We work with Kaggle Grand Masters, data pioneers and political strategists alike, and are looking for some new minds to join the fold. Entrepreneurial spirit and Blue Sky thinking are important to us and we are looking for people who are excited to create something new and find solutions to complex problems.

    Who are we looking for - Lead Data Scientist

    We are looking for a candidate to use both cutting edge research and experience to ensure data science is embedded at the core of everything we do. We work with with real-world challenges and datasets, and you will need to use your Data Science/AI expertise and creativity to solve these problems in a practical and scalable way. You will be called upon to assess possibilities and provide ideas and input into product design choices. This will involve understanding your customer (internal or external) needs and and translating them into solutions that address those needs. Our data science team has a diverse range of backgrounds including industry and academia, we are looking for candidates to add to and amplify the range of experience.

    Always Learning

    At Outra you will be encouraged to both do the necessary research to propose appropriate models/techniques and to have the necessary expertise to implement and train the models yourself. Where useful, you will not hesitate to employ classical machine learning methods, but we are enthusiastic at the idea of pushing the boundaries of deep learning and AI. To do this, you will be supported with both resources and time to research and learn about new developments in the industry. We work across a diverse range of industries, working with datasets including property, telecoms, transactional, satellite, opinion and web data. You will be excited to adapt to new sources and formats and comfortable working with big data.

    Career Development

    At Outra we’re committed to empowering our employees to learn and grow in their career. Our senior team have a proven track record of creating £100m+ businesses from their ideas, and developing the team along with the company.

    Outra Core Values

    • We are bold - daring to challenge the norms for clients and ourselves
    • We are inquisitive - we seek to understand
    • We are open & collaborative - say what we think, transparent with clients

    Hiring Process for Data Scientists:

    • Stage 1: Telephone Screen with Recruiter (30 minutes)
    • Stage 2: Case study & team interview onsite (2 hours)
    • Stage 3: Interview with the senior team (1 hour)

    Tech stack

    AWS, Talend, Dataiku, snowflake, Kubernetes, Python, PostgreSQL, Spark, Scikit-learn, Keras, TensorFlow, Hadoop, SQL, Tableau