Data Scientist Specialist

Accenture UK & Ireland
Bristol
5 months ago
Create job alert

Data Scientist Specialist – Accenture UK & Ireland

Location: Bristol


Salary: Competitive salary and package (depending on level of experience)


Security Clearance: Any offer of employment is subject to satisfactory BPSS and SC security clearance, which typically requires 5 years continuous UK address history and declaration of being a British passport holder with no dual nationality at the point of application.


Role Overview

We are a dynamic team of specialists in Data Science, Data Engineering, and MLOps, dedicated to delivering cutting‑edge AI solutions within secure government and defence environments. Join us to be part of an inclusive and collaborative environment where innovation thrives and continuous learning is a priority.


Responsibilities

  • Be engaged at the forefront of technological advancements in GenAI and stay up to date with latest trends.
  • Build and/or deploy LLMs and ML models in the Cloud or on HPCs.
  • Lead the day‑to‑day technical engagements on a project, helping to manage a small team.
  • Be the go‑to technical expert for all things related to Machine Learning and Large Language Models.
  • Contribute to improving life at Accenture and the wider department by raising your voice and engaging – we want to hear your views!
  • Performance‑manage a small team.

Key Qualifications

  • Robust programming skills – Python is essential.
  • Experience with Docker, Linux/Unix CLI, Git, and testing.
  • Experience with one of the major cloud platforms (preferably AWS or Azure).
  • Knowledge of data governance and security best practices.
  • Agentic AI systems and Architecture.
  • Graph RAG, Traditional RAG.
  • Vision–Language Models / Computer Vision.
  • Audio Processing.

Preferred Experience

  • Basic familiarity with utilizing GPUs in the cloud environment.
  • Familiarity with monitoring tools and techniques for ML models and data pipelines.
  • Experience building APIs.
  • Demonstrable experience with modern CI/CD pipelines.
  • Knowledge of good DevOps and Data Engineering practices.

Additional Competencies

  • Effectively communicate verbally and in writing, including explaining complex technical solutions to a non‑technical audience.
  • Speak clearly in impactful presentations, articulating key points.
  • Analytical thinking – analyse and evaluate information, use gathered information to present solutions and reach decisions.
  • Comfort with a breadth of technologies and appreciation of how they can be combined to solve customer problems.
  • Work in partnership with others – effectively manage internal and external stakeholders, collaborate meaningfully with all parties to ensure outcomes are reached effectively.

Benefits

Up to 25 days’ vacation per year, private medical insurance, and 3 extra days leave per year for charitable work of your choice.


Flexibility and mobility are required; occasional onsite work with clients and partners may be necessary.


About Accenture

Accenture is a leading global professional services company, providing strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialized capabilities across more than 40 industries, powered by the world’s largest network of Advanced Technology and Intelligent Operations centres.


EEO Statement

Accenture is an equal opportunities employer and welcomes applications from all sections of society. We do not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law.


Closing Date for Applications

24/12/2025



#J-18808-Ljbffr

Related Jobs

View all jobs

Sport Scientist (Human Data Science)

Data Scientist: Graph Database & Ontology Specialist

Hybrid Data Scientist — Insurance Analytics & ML

Senior Data Scientist

Senior Data Scientist

Pricing Data Scientist - Ownership & Impact

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.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.