Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Analytical Consultant

Bishopsgate
5 months ago
Applications closed

Related Jobs

View all jobs

Solution Consultant - IT & Data Science (EMEA)

Solution Consultant - IT & Data Science

Senior Data Scientist

FTC Data Scientist

Senior Consultant, Data Science & AI, Data & Analytics, Belfast, Derry/Londonderry

Senior Strategic Analytics and Data Science Manager

Join us as an Analytical Consultant

For someone with a background in explaining business performance and recommending management actions through expert use of data analytics in a client facing role, this is a valuable opportunity to help deliver crucial business advice within our franchise-wide team 

We’ll look to you to develop processes that enable the distribution and understanding of insights into the wider bank 

You’ll be supporting the business by using insights to drive effective decision making, giving you excellent recognition and the chance to raise your profile

What you'll do

This key role will see you helping to build and deliver analytics and insights for the franchise by creating and leveraging all financial and business performance including balance sheet and P&L. You’ll be developing and maintaining effective statistical profitability models and associated analytics, while providing actionable MI on all aspects of model performance.

As well as this, you’ll be:

Providing insight through analysis and communicating this effectively to your stakeholders

Identifying opportunities as they arise for business strategy improvement through a range of levers such as product, propositional, target operating model, and pricing

Identifying opportunities for improvement, both in terms of the analysis being produced, and the approaches and processes used within the team

Working with the team manager and other managers to maximise team performance and effectiveness, sharing your technical expertise to improve team capability

The skills you'll need

We’re looking for a keen problem solver who’s qualified to degree level in a numerate discipline and has data driven analysis and consulting skills. Along with extensive banking or financial services experience, you’ll have knowledge of key analytical and visualisation software. You’ll need consultancy skills, but a consultancy background is not essential.

You’ll also need:

Experience in analytical and data science including SQL, Python, and Tableau or an equivalent

An understanding of stakeholder products, propositions, customers, customer journeys, markets, and competitors

Broad experience of risk and finance systems, methodologies, and processes in a retail or wholesale banking environment

An understanding of the regulatory regime and risk management and control processes applicable to businesses within the financial services industry

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.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.