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

Apply Now

Chief Data Scientist

Avanade
Manchester
7 months ago
Applications closed

Related Jobs

View all jobs

Staff Data Scientist, Associate Director (Manchester)

Staff Data Scientist, Associate Director

Staff Data Scientist, Associate Director

Staff Data Scientist, Associate Director (Manchester)

Data Engineer

2026 Machine Learning Center of Excellence (NLP) - Summer Associate

Our AI team is made up of academically accomplished, industry-recognised experts - and there’s room for more analytical, innovative, client-driven data professionals to join us. If you’re passionate about helping clients realise the true value and impact of AI and data science, keep reading. An opportunity on Avanade’s AI team will help take your career to the next level where you can truly do what matters. 

As the technical lead in the AI team, you’ll work across Avanade's Data & AI practice to build, deploy, and scale bespoke, advanced AI solutions and platforms for some of the world's leading businesses. Alongside this, our teams work across a range of industries building solutions at the cutting edge of GenAI, Agentic AI, Computer Vision, IoT, ML, AI, and Deep and Reinforcement Learning. Join our team and you can help our clients realize the potential of their data. Awareness of channels to market and how to work in a Microsoft and partner eco-system to ensure Customer Success. High energy intent to help clients understand the fast moving AI industry, product and service evolution. Experience working with stakeholders to create technical visions, high-level architectures, and delivery roadmaps for large programs of work that involve the latest AI concepts particularly focused on scaling AI across enterprises.Demonstrate a deep understanding of responsible AI principles, practices and regulatory frameworks and articulate clearly how to address risks whilst quickly delivering impactful solutions.Capability in creating design artifacts and presenting them for approval at architectural forums attended by multi-disciplined stakeholders from engineering to senior ("C level") client executives In-depth understanding of modern AI capabilities, structured and unstructured data analysis, streaming data, IoT, AI, GenAI and related topical analytics fieldsSignificant experience in implementing/deploying data science solutions in Azure/AWS/GCPComfortable actively engaging and leading sales and business development opportunities with clientsCharacteristics that can spell success for this roleYou likely possess an advanced degree in a quantitative field such as computer science, applied mathematics, theoretical physics, computational biology, statistics, or machine learning. At Avanade we also support an equivalent combination of education and experience. Proven success in consultative/complex technical sales and deployment projects, architecture, design, implementation, and/or support of highly distributed applications required Extensive experience working with large complex enterprise accounts architecting cloud solutions for data estate workloads and implementing large scale data projects within the cloud environment You are acknowledged for driving decisions collaboratively, resolving conflicts and ensuring follow through with exceptional verbal and written communication skills. Ability to orchestrate, lead, and influence remote teams, ensuring successful implementation of customer projects Consultative, collaborative, relationship builderResilient, adaptable, flexibleHumble leader, master negotiator, relationship builderPassionate about tech and engaging with and advising clientsAs an architect assigned to a client project, you will typically work closely with delivery teams and client stakeholders to provide technical leadership, shape deals and propositions, drive architectural decisions, create plans and roadmaps, and produce design artifacts Play a key role in Avanade's sales process with the responsibility for shaping the high-level design, estimates, and contractual details for client proposals in collaboration with other subject matter experts in the business As a senior member of the Avanade technical community, you will provide coaching and mentoring to motivate and inspire more junior colleagues from within your team and across the organization Have the ability to translate complex technical concepts and solutions and present them in easy to understand language and value based outcomes, to senior business stakeholders, technology leaders and internal sales teams.Engage in early conversations with clients and/or sales team and support origination and deal qualification, requirements capture and solutioning, recommending best practices and approaches to achieve optimal outcomes, building strong relationship with clients to become the trusted advisor. Prepare and represent the solution in Deal Reviews and play an active role in client presentations, and negotiations with key client buyers Work collaboratively with the wider Data & AI leadership to shape our current and future offerings, accelerators, and background IP to support GTM activities Drive the evolution of best practices and methodologies for AI development, including data management, model training, fine-tuning, and deployment.Lead the development of GenAI, Agentic AI, AI platforms, ML, AI, and statistical algorithms and solutions using Python and tools from Microsoft and DatabricksStay abreast of the latest advancements in AI and machine learning technologies and incorporate relevant innovations into our solutions

Some of the best things about working at Avanade

Opportunity to work for Microsoft’s Global Alliance Partner of the Year, with exceptional development and training (minimum 80 hours per year for training and paid certifications) Real-time access to technical and skilled resources globally Dedicated career advisor to encourage your growth Engaged and helpful coworkers genuinely interested in you

Find out more about some of our benefits Employee Benefits at Avanade | Avanade



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.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.