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

Nominate & Attend

Data Advisory Consultant

BJSS
Birmingham
1 year ago
Applications closed

Related Jobs

View all jobs

Data Science Consultant – Capital Markets...

Data Science Consultant - Health

Data Engineering Consultant - Private Equity

Senior Data Science Consultant – Econometrics specialist

Senior Consultant, Data Scientist - Financial Services

Senior Consultant, Data Scientist - Financial Services

About the Role

We are seeking a highly skilled and talented data professional to join our Data Advisory team. You will play a pivotal role in advising our clients to unlock the full potential and business value of their data assets.

As a BJSS Consultant you will work with our clients, guiding them to be more effective making data driven decisions. In this role you will:

Provide strategic guidance and consulting services to influential client stakeholders, including C-suite, emphasising the importance of uncovering business value through organisational data. Collaborate closely with clients to understand unique business needs, priorities and challenges to develop solutions aligned to strategic goals and priorities. Conduct comprehensive data assessments identifying current levels of data maturity and identifying opportunities to build new capabilities, processes and infrastructure, and to effectively communicate findings to senior stakeholders. Develop data architecture blueprints and roadmaps aligned to business objectives to support long-term strategy and identify immediate next steps. Be a thought leader and trusted partner to our clients, acting as a subject matter expert and conducting workshops, knowledge-sharing sessions and sharing opinion on latest trends. Enable our clients to succeed with data by enabling strong data governance, harnessing value with advanced analytics and establishing operating models supporting self-service and data literacy.

About You

This is a senior role within our Data Advisory team and would suit data professionals with wide and varied background. We think experience in the following areas will help you to be successful in this role:

You are an experienced consultant who understands how data unlocks business value and can shape and set a data strategy by translating this knowledge into actionable guidance for stakeholders across a business. You have broad knowledge across several data disciplines, backed by deep expertise and knowledge in a topic such as data governance, architecture, platforms, data engineering, analytics or data science. Excellent communication and interpersonal skills, with the ability to effectively engage with clients, understand their needs, and articulate recommendations. You can take the lead on projects, build client relationships and help our people deliver successful outcomes. A keen awareness of different data strategies, paradigms and solutions and the ability to articulate the business benefits appropriately for different client audiences. Proven expertise in business development activities, building enduring client relationships, identifying new opportunities and contributing to marketing and proposal development.

Some of the Perks

Flexible benefits allowance – you choose how to spend your allowance (additional pension contributions, healthcare, dental and more) Industry leading health and wellbeing plan - we partner with several wellbeing support functions to cater to each individual's need, including 24/7 GP services, mental health support, and other Life Assurance (4 x annual salary) 25 days annual leave plus bank holidays Hybrid working - Our roles are not fully remote as we take pride in the tight knit communities we have created at our local offices. But we offer plenty of flexibility and you can split your time between the office, client site and WFH Discounts – we have preferred rates from dozens of retail, lifestyle, and utility brands An industry-leading referral scheme with no limits on the number of referrals Flexible holiday buy/sell option Electric vehicle scheme Training opportunities and incentives – we support professional certifications across engineering and non-engineering roles, including unlimited access to O’Reilly Giving back – the ability to get involved nationally and regionally with partnerships to get people from diverse backgrounds into tech You will become part of a squad with people from different areas within the business who will help you grow at BJSS We have a busy social calendar that you can choose to join– quarterly town halls/squad nights out/weekends away with families included/office get togethers GymFlex gym membership programme
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 Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning 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 type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

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

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning 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 developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning 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 ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.