Analytical Consultant

Bishopsgate
1 week ago
Applications closed

Related Jobs

View all jobs

Consultant (Data engineer/ Analytics)

Graduate Consultant: Data Science (AI/ML)

Graduate Data Engineer/Consultant x 3 - Bristol - Graduate Scheme - Training & Development - New Roles! (REFGJ18)

Data Analyst Trainee (Hiring Immediately)

Data Analyst Placement Programme - Comprehensive Online Training (Hiring Immediately)

Data Analyst Trainee - Accredited Online Training Program (Hiring Immediately)

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

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.