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

Nominate & Attend

Consultant

d-fine
London
1 year ago
Applications closed

Related Jobs

View all jobs

Artificial Intelligence Consultant

Artificial Intelligence Consultant

Director Data Science & Ai

Experienced Ai / Machine Learning Engineer

Junior/Mid/Senior Data Scientist - Hybrid, London

Consultant
from the fields of physics, mathematics, computer science, natural sciences, engineering or economics

Contract Period:permanent
Working Time:full-time
Location:London, everywhere in the UK and international
Entry Date:all year around (depending on availability)

d-fine is a continuously growing European consulting company with over 1, employees. Our London office in the heart of the City was established in to deliver services to our clients in the UK and Ireland. Our projects focus on quantitative challenges in software engineering, data analytics, financial risk management, data science, and the development of sustainable technological solutions. d-fine’s consulting approach is based on years of practical experience and dynamic teams with an analytical and technological focus.

Job description

Design of models, methods and processes in both the private and public sectors Software and data engineering, using agile methodologies and full-stack development Development and operationalisation of data-driven models Business analyses and simulations Design, implementation and validation of risk models Use of modern technologies such as machine learning or big data solutions Technical analysis and implementation of regulatory requirements Analysis, design and digitalisation of processes Selection, parameterisation and integration of systems

Requirements

Outstanding university degree (Master/PhD) in physics, mathematics, computer science or natural, engineering or economic sciences with a corresponding quantitative, analytical or technological specialisation English language proficiency Possess significant IT knowledge coupled with strong programming skills, including understanding of the underlying concepts Familiar with at least one of the following subjects: mathematical statistics, numerical analysis, simulation techniques (e.g. Monte Carlo), optimisation methods (e.g. simulated annealing), and financial mathematical modelling Motivated to work on challenging applied quantitative issues requiring both, business understanding and technological expertise Ability to work well in a team Ability to communicate effectively with peers as well as with senior employees of d-fine and our clients Work experience in trading, treasury or risk management may be an additional advantage

We offer

Interesting and varied projects across Europe A competitive salary The opportunity to work with highly talented and motivated colleagues The chance to work with a wide range of clients from specialized hedge funds and industrial conglomerates to banking institutions The option to extend your expertise of financial mathematics through participation in courses at leading international universities A wide range of additional benefits such as company pension scheme, private medical, remote working policy, company events and much more!
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 AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

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

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.