National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Gen AI Specialist

London
2 months ago
Applications closed

Related Jobs

View all jobs

Data Science Consultant - Gen-AI

Data Science Consultant - Gen-AI

AI Consultant - Remote

AI Consultant - Remote

AI Consultant - Remote

AI Consultant - Remote

Gen AI Specialist
Location: Canary Wharf, London (3 days onsite)
Contract Length: 10 months
Daily Rate: £800 - £850 (inside IR35 via umbrella)

Are you a seasoned Data Scientist with a passion for Generative AI? Our client is seeking a Gen AI Specialist to join their dynamic Technology team in Canary Wharf. This role offers an exciting opportunity to work on innovative solutions that address complex financial data challenges, particularly in credit risk management.

Key Responsibilities:

Lead the development and coordination of analytical plans, ensuring alignment with various teams.
Manage deliverables in an agile environment while maintaining clear and effective communication with stakeholders.
Present analytical findings, updates, and challenges to diverse audiences including business units, technology management, and risk review teams.
Execute data modelling and cleaning processes utilising both internal and external data sources.
Build predictive and prescriptive models through data manipulation and cleaning.
Design, manage, and deploy analytical solutions leveraging Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) into production systems following the technology SDLC process.
Implement features throughout the ML lifecycle-Development, Testing, Training, Production, and Monitoring-to ensure the scalability and reliability of solutions.Qualifications:

PhD or master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
Minimum of 5 years of industry experience as a data scientist, with a focus on ML modelling, Ranking, Recommendations, or Personalization systems.
Proven track record of designing and developing scalable and reliable machine learning systems.
Strong expertise in ML/DL/LLM algorithms, model architectures, and training techniques.
Proficiency in programming languages such as Python, SQL, Spark, PySpark, TensorFlow, or equivalent analytical/model-building tools.
Familiarity with tools and technologies related to LLMs.
Ability to work independently while also thriving in a collaborative team environment.
Experience with GenAI/LLMs projects.
Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL).
Background in financial services, including banking or risk management.
Knowledge of capital markets and financial instruments, along with modelling expertise.

If you are a forward-thinking individual with an adaptive mindset ready to tackle complex business problems, we want to hear from you! Join our client's innovative team and contribute to the future of financial data analysis.

To Apply: Please submit your CV and a cover letter detailing your relevant experience and interest in the role.

Our client is an equal opportunity employer and welcomes applicants from diverse backgrounds.

Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you

National AI Awards 2025

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.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.