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

Nominate & Attend

Data Science Consultant - Edinburgh

Accenture
Edinburgh
1 month ago
Applications closed

Related Jobs

View all jobs

Data Science Consultant - Gen-AI

Data Science Consultant - Gen-AI

Data Science Consultant – Capital Markets...

Data Science Consultant

Data Science Consultant - Customer Data Modelling

Lead Data Science Consultant

Job Role: Data & AI Science Consultant

Location: Edinburgh

Career Level: Consultant


As a team:


The Data and AI revolution is changing everything. It’s everywhere – transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture Data and AI Science is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance.


Accenture’s Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture’s broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI.


You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways.


If you’re looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job.

In our team you will:

  • Be at the forefront of the industry, you’ll create, own and make it a reality for clients looking to better serve their connected customers and operate always-on enterprises.
  • Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on.
  • Be working with famous brands and household names – no worrying about how to explain what you do to your family again!
  • Develop your skills with our world class training programmes.
  • Drive and implement real world solutions into production that drive business value to our clients.
  • Work alongside global teams to collaborate and deliver the best solutions for our clients.
  • Drive your career progression via our structured career development programs.
  • Align with our industry partners to develop your career and the solutions we deliver for our clients.


In this role you will:

  • Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics.
  • Understand business requirements and support the development of business cases.
  • Run discovery analytics to identify new and innovative opportunities.
  • Partner with developers and engineers to deploy machine learning algorithms to deliver business value.
  • Define approaches to embed and scale machine learning models.
  • Build reusable assets, solutions and develop best practices for current and future business problems.
  • Consult on complex analyses and advanced machine learning methods.
  • Communicate and provide guidance to senior client leadership and teams.
  • Contribute data science expertise to new sales activities.
  • Shape DS Strategy and the delivery of DS solutions.
  • Operate across multiple industries and functions.
  • Develop others by bringing your unique knowledge and skillsets to the wider practice.


We are looking for experience in the following skills:

  • Relevant work experience in data science, machine learning, and business analytics
  • Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred)
  • Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc.
  • Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc.
  • Knowledge of machine learning modelling techniques and how to fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc.
  • Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc.
  • Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge.
  • Experience of using Cloud technologies eg. AWS, GCP or Azure.
  • Specialised visualisation techniques eg. D3.js, ggplot etc.
  • Strong verbal/written communication & data presentation skills
  • Awareness of Large Language Models (LLMs) and a strong enthusiasm for continuous learning and staying updated with the latest advancements in the field


Set yourself apart:

  • Willingness and ability to learn quickly and apply creative thinking to finding great solutions and drive their implementation
  • Ability to successfully build relationships with clients and stakeholders
  • Mastery of problem solving and solutioning
  • Proven history and background in statistics/mathematics/macroeconomics


What’s In It For You


At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days’ vacation per year, gym subsidy, private medical insurance and 3 extra days leave per year for charitable work of your choice!


About Accenture

Accenture is a leading global professional services company that helps the world’s leading organizations build their digital core, optimize their operations, accelerate revenue growth and enhance services—creating tangible value at speed and scale. We are a talent- and innovation-led company with 774,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us atwww.accenture.com

Equal Employment Opportunity Statement


All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.


Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

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.

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.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.