About the role

  • Data Scientist role focused on developing AI and ML solutions for diverse clients, including the UK government. Delivering end-to-end data science solutions while fostering professional growth.

Responsibilities

  • The Role in 30 Seconds - Full-time Data Scientist
  • Build and deploy cutting-edge AI and ML solutions for diverse clients (from Government to Startups).
  • Gain full-stack delivery experience across an array of industries while benefiting from investment in your professional growth and expertise.
  • You'll be involved in a wide variety of projects, from cutting-edge AI solutions for the UK government to building transformative tools across a range of industries.
  • This isn't just a standard Data Science position; you will gain hands-on experience by delivering end-to-end data science and engineering solutions for our clients, alongside building and improving our own internal products.
  • You can also expect plenty of **mentoring and guidance** along the way: we aim to be best-in-class at what we do, and we want to work with people who share that same attitude.
  • As a unique and fast-growing consultancy, this is an excellent opportunity to make a significant impact and shape our future success.

Requirements

  • **Our ideal candidate would:**
  • Be comfortable using **Python** and **SQL** for data analysis, data science, and/or machine learning.
  • Have used any libraries in the **Python Open Data Science Stack** (e.g. pandas, NumPy, matplotlib, Seaborn, scikit-learn).
  • Enjoy **sharing knowledge, experience, and passion** with others.
  • Be passionate about **leveraging the latest LLM tooling** for accelerated AI-enhanced delivery without compromising on quality.
  • Have great communication skills. You will be expected to write and contribute towards presentation slide decks to showcase our work during sprint reviews and client project demos.

Benefits

  • 💸 Co-working Spaces: Regular co-working days at different locations in London with the team plus full access to the Hubble co-working network at all times to use a space near where you live.
  • 🎓 Learning and Professional Development: Potential to improve skills through paid courses and subscriptions. We encourage all our team to engage with professional communities, we actively sponsor PyData Meetups and Humble Data, and we provide additional support for anyone wishing to speak at meetups/conferences.
  • 🎟️ Conference Budget: £1000 per employee in year 1, rising to £2000 by year 3. This can help cover tickets, accommodation, and travel to attend relevant conferences.
  • 👂 Spill: All-in-one mental health support programme with on-demand access to a variety of support. We cover 8 hours of therapy with a remote therapist for each team member every year, worth up to £520.
  • 🧠 Headspace: Paid membership to Headspace to encourage good daily mental practices.
  • 📚 10% Time: 4 hours per week dedicated to improving skills or pursuing your own project.
  • 💻 Laptop & Peripherals: Company-owned Apple laptop plus peripherals such as a monitor and keyboard, for making remote working both comfortable and safe.
  • 💃 Team Culture: We have a fantastic small team who enjoy socials together - everything from guided walking tours to escape rooms to Bake Off experiences.

Job title

Data Scientist

Job type

Experience level

Mid levelSenior

Salary

£38,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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