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Job Post Details

Data Scientist - job post

Olive Jar Digital
Remote
Full-time
You must create an Indeed account before continuing to the company website to apply

Job details

Job type

  • Full-time

Benefits

Pulled from the full job description

  • Annual leave
  • Company pension
  • Car scheme

Full job description

Remote
Full Time
Experienced
FTC or Permanent
UK-wide, Remote

About the role
Olive Jar Digital is looking for a Data Scientist to play a key role in shaping and delivering several innovative AI initiatives. You will work across Discovery and Alpha phases to turn complex problems into data-driven solutions, helping to refine problem statements, develop prototypes, and evaluate machine learning models.

This role is ideal for someone who enjoys experimentation, rapid iteration, and working closely with engineering, product, research and design teams to bring AI concepts to life.

About Olive Jar Digital
As we grow, we empower our teams to develop their roles and functions and offer support to get you from where you are now, to where you want to be. Moving towards our 11th year, we are now an established brand, building digital products and services and championing the provision of expert talent to enhance customer and in-house teams, satisfying all user needs.

We are a professional, fun, fully Inclusive and diverse digital consultancy, valuing everyone’s opinion. With a huge growth plan over the next two years, we are looking to expand our client facing delivery team with designers, developers, and testers as we continue to expand our project portfolio.

Responsibilities

  • Analyse data sources, validate problem statements, and highlight gaps or dependencies.
  • Build, refine, and iterate machine learning models and AI prototypes.
  • Contribute to technical design documentation (model choices, data pipelines, architecture).
  • Evaluate models using success metrics, KPIs, performance analysis and bias checks.
  • Support functional, regression and performance testing for models and prototypes.
  • Collaborate with engineers on deployment pipelines, telemetry, and automated testing.
  • Produce clear documentation and contribute to playback sessions and assessment reports.

About You
  • Strong hands-on experience in data science and machine learning.
  • Skilled in model development, evaluation, and iterative experimentation.
  • Ability to collaborate effectively with multidisciplinary teams.
  • Clear communication of technical insights to both technical and non-technical audiences.
  • Experience with NLP, LLMs, vector search or intelligent search tools.
  • Familiarity with cloud environments and CI/CD pipelines.
  • Exposure to Discovery/Alpha delivery or rapid prototyping.

Benefits
  • 25 Days Annual Leave per annum (plus 8 Bank Holidays as standard)
  • Health Insurance
  • Pension Scheme
  • Annual Bonus Scheme
  • Annual Salary Review
  • Electric Car Scheme

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