Shape the Future of AIJoin one of the UK's fastest-growing companies and become a Professional Development Expert in Artificial Intelligence.

View Roles

Data Science Consultant

BlueOptima
London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Science Consultant - Gen-AI

Data Science Consultant - Gen-AI

Data Science Consultant - Gen-AI

Data Science Consultant - Gen-AI

Data Science Consultant - Gen-AI

Data Science Consultant - Gen-AI

Job Description

Job summary:We are seeking a Professional Services Consultant to join our consulting practice. This role blends technical depth with strategic consulting, enabling our clients to unlock value from their data by delivering scalable, production-ready ML and analytics solutions.

You will build and deliver machine learning and data-driven solutions that create measurable business impact for our enterprise clients. As a trusted advisor, you will play an active role not just in delivery, but also in scoping engagements, supporting proposals and SOWs, and contributing to go-to-market activities. Your technical skills in Python, machine learning, and data engineering will be matched by your ability to consult, influence, and communicate clearly with stakeholders.

This role is ideal for candidates who thrive at the intersection of technical delivery and client consulting in a fast-paced, high-expectation environment.

Your team:

You will be part of the Professional Services team within our Engineering division, a group of hands-on consultants and technical experts who deliver scalable, production-ready data and machine learning solutions to our clients.

Responsibilities and tasks:

  • Understand the client requirements and provide strong recommendations for delivering value in a structured way. 

  • Lead the presentation to the client, clearly articulate the value of the deliverables and explain the suggested  approach. 

  • Support the translation of customer proposals into clear, scoped Statements of Work under guidance, ensuring alignment with customer needs.

  • Validates datasets, calculates KPI’s, supports data acquisition, and generates reports.

  • Automates data collection from internal sources and analyzes patterns across data sets.

  • Deep-dive data quality checks.

  • Design reporting and validate the solution with client stakeholders

  • Owns and is accountable for the quality and delivery of their work.

  • Provides enterprise level analysis on the BlueOptima data set to inform workforce strategies and strategic planning for the development organization to drive cost savings, operational efficiencies, and productivity improvement.

  • Deliver research articles and blogs to support strategic initiatives.

  • Drive revenue growth by identifying and executing upsell opportunities within own active customer engagements.


Qualifications

Computer Science, Software Engineering and basic finance knowledge.

What You Need to Succeed at BlueOptima: 

  • You bring 1-2 years of hands-on experience delivering data science, machine learning, or analytics solutions in a professional or enterprise setting.

  • Skilled in stakeholder communication, especially in presenting findings and model results in a clear, tailored format to internal and external stakeholders, aligning with business objectives.

  • Skilled in generating and delivering executive-ready presentations that translate technical insights into clear business value for C-suite stakeholders and decision-makers.

  • Experienced in using BI tools such as Tableau or Microsoft Power BI.

  • Proficient in Python with strong experience in libraries such as pandas, scikit-learn, and xgboost, and writing clean, modular, and reusable code.

  • Experienced in deploying Python scripts and ML workloads.

  • Familiarity with SQL, including writing complex queries with Common Table Expressions (CTEs), and performance-aware joins across large-scale datasets.

  • Comfortable operating in client-facing, consulting-style environments, where ambiguity is common and solutions must balance rigor with speed and impact.

Good to have:

  • Understanding of software engineering fundamentals, including:

    • SDLC methodologies (Agile, Scrum, or Waterfall)

    • CI/CD workflows for deploying analytics or ML solutions

    • Use of Version Control Systems (e.g., Git, GitHub) for collaborative development

Your career progression:In BlueOptima, we strive to strengthen your skills, widen your scope of work and develop your career fast. In this role, you’ll have the opportunity to grow as a senior individual contributor by leading client engagements that deliver increasing strategic value.



Additional Information

Why join our team?

Culture and Growth:

  • Global team with a creative, innovative and welcoming mindset.

  • Rapid career growth and opportunity to be an outstanding and visible contributor to the company's success.

  • Freedom to create your own success story in a high performance environment.

  • Training programs and Personal Development Plans for each employee

Benefits:

  • 32 days of holidays (including 8 bank holidays) 

  • Annual Leave Purchase 

  • Hybrid working - 2 days remote and 3 days in the office each week

  • Flexible Work from Long Distance - 4 weeks a year

  • Top of the line equipment (i.e. laptop, headset, desk gaming monitor)

  • Office in Elephant and Castle with free drinks and snacks

  • Cycle-to-work scheme

  • 12 Weeks Paid Maternity and Paternity Leave

  • Pet friendly office

  • Salary - Base -  £42K - £47K Annually

Stay connected with us onLinkedInor keep an eye on ourcareer pagefor future opportunities!

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.