Data & AI Specialist

Futurice GmbH

Data & AI Specialist

£100000

Futurice GmbH, City of Westminster

  • Full time
  • Permanent
  • Onsite working

Posted 3 weeks ago, 28 Aug | Get your application in now before you miss out!

Closing date: Closing date not specified

job Ref: 5ec46a0574004c8c940df0934ed43940

Full Job Description

We're looking for a Data & AI Specialist to join our team. You'll work as a discipline lead within cross-functional distributed teams, using data and AI technologies to create impactful solutions. We're looking for someone able to use data and AI to transform businesses and improve people's lives.

As a Data & AI Specialist, you'll be at the forefront of our data initiatives, bringing a mix of technical expertise and strategic thinking to help guide our organisation's data and AI efforts. You'll play a crucial role in mentoring team members, fostering a culture of continuous learning, and helping our clients understand the value and applications of data-driven technologies.

What you are responsible for

  • Leading the development and implementation of data and AI strategies across projects

  • Designing and overseeing the creation of data pipelines, machine learning models, and AI-powered solutions

  • Collaborating with cross-functional teams to integrate data and AI capabilities into existing products and services

  • Mentoring and upskilling team members in data science and AI technologies

  • Ensuring best practices in data governance, privacy, and ethical AI development

  • Contributing to business development efforts by helping to identify and pursue data and AI opportunities

  • Collaborating with the wider Futurice Data and AI community and growing the Data/AI practice in the UK

    Strong foundation in data science, machine learning, and AI concepts

  • Hands-on experience with data analysis, visualization, and modeling tools (e.g., Python, R, SQL)

  • Familiarity with cloud-based data and AI platforms (e.g., AWS, Azure, GCP)

  • Understanding of GenAI technologies and applications, e.g.:

  • + Large Language Models (LLMs)
    + Natural Language Processing (NLP)
    + Computer Vision
    + Generative Models (e.g., GANs, Diffusion Models)
    + RAG solutions
  • Some experience with data engineering concepts and tools

  • Knowledge of software development practices and version control systems (e.g., Git), Our Culture - We are human first. Mutual respect and trust is an essential condition, as is passion, talent and energy. All team members need to be self-starters and have a desire to be part of a work culture with a lean, flat structure, built on a value of transparency.

    Competitive salary benchmarked externally and internally for salary fairness: our Lead level banding is £75,000-£100,000

  • Company pension contribution of 6% (increasing with tenure)

  • Private health insurance with WPA

  • 25 days of holidays + plus bank holidays and a day off for your birthday too. We offer a long service annual leave scheme of an additional day per year after three years' unbroken service, up to a maximum of 30 days

  • A tiered parental leave policy, which offers 16-weeks maternity full pay and 4- weeks partner full pay (dependant on your tenure)

  • A Learning budget of £1200 per year for self initiated learning, books and training courses

  • EV salary sacrifice (dependant on your tenure)

  • A remote-first setup with two days per month to co-work together in London

  • A flexible wellbeing budget of £50 per month (via a Juno platform subscription)


  • Don't worry about whether you're a 100% fit! Take a look at what we do and what we've done and get in touch. Don't just tell us where you've worked or studied, tell us who you are, where you are heading, and why you want to join us!, We usually follow the following format for interviews, currently all held remotely:
  • 30min video/telephone introductory call

  • First round tech-focused interview with two tech team members

  • Second round interview with other members of the team


  • Salary: £75,000-£100,000