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Data Scientist

Olive Jar Digital

Role overview

Qualifications

  • Strong hands-on experience in data science and machine learning
  • Skilled in model development, evaluation, and iterative experimentation
  • Experience with NLP, LLMs, and vector search or intelligent search tools
  • Familiarity with cloud environments and CI/CD pipelines; exposure to rapid prototyping (Discovery/Alpha)

Responsibilities

  • Analyze 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) and evaluate models using KPIs, performance analysis, and bias checks
  • Collaborate with engineers on deployment pipelines, telemetry, automated testing, and produce clear documentation

About the company

Olive Jar Digital logo

Olive Jar Digital

Digital Transformation Consulting

Olive Jar Digital has extensive experience in building highly secure, resilient, highly available and scalable websites. We focus on user experience and only build what the end user needs and understands. We deliver our projects using the Agile methodology, in particular Scrum and Kanban. This enables us to deliver on time, on budget and focus on priorities that could shift at any moment. The consultants we engage are either people that we have worked with over the years, have been recommended based on their performance, or have been interviewed and tested by us first. With Olive Jar you get a professional, honest service where we look to build a relationship with you and support you over the years to come. We believe that in order to track the quality of performance effectively, our delivery team, the end client, and our account management team need to buy into a Continual Service Feedback and Improvement ethos. The resources we can provide include: • Full Agile Teams • Delivery Managers • Business Analysts • Technical Architects • Scrum Masters • User Experience Designers • Visual Designer • User Researchers • Developers / Developers in Test • Testers Specialties: IT Consultancy, Software Support, Software Development, Website Design, Agile Delivery, Continuous Delivery

Company details

IndustryDigital Transformation Consulting
Company size11 - 50

Links

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Job description

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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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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