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

Nominate & Attend

Senior Data Scientist

Microsoft
united kingdom
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist (GenAI)

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Overview

As a Senior Data Scientist, you will use your expertise in data science, machine learning, and artificial intelligence to solve real-world problems for customers. You will have the opportunity to impact both Microsoft’s strategy and the world-wide mission of one of the largest and most forward-leaning customers. The customer’s scenarios will be lighthouses for their markets and present an opportunity for Azure and Microsoft to learn and grow, create transformative technology offerings, and advance competitive advantages.

You will work with diverse data sets, apply advanced statistical and computational techniques, and communicate your findings and recommendations to various audiences. You will also collaborate with Microsoft engineering teams to provide feedback and insights on Microsoft products and solutions. You will uphold the highest standards of ethics, privacy, and trustworthiness in your work.

This role is fully remote, and successful candidates can be located anywhere within the United Kingdom (UK). Travel would eventually be 10-20% and the role requires the ability to work with clients remotely.

Our team values collaboration, craftsmanship, and continuous learning. As a member of the team, you will be able to shape and grow a positive and productive engineering culture.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Qualifications

Required Qualifications: 

Doctorate, Master's, or Bachelor's degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field, or equivalent experience. Doctorate or Masters of data science experience, including managing structured and unstructured data, applying statistical techniques, and reporting results. Experience with geospatial data analysis tools and frameworks, such as ArcGIS, QGIS, GDAL, or GeoPandas, and knowledge of geospatial data formats, standards, protocols, and methods. Proficiency in data science experimentation methods, such as cross validation, regularization, encoding, or activation functions.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Additional / Preferred Qualifications: 

This role will require UK security clearance. Applicants must also be willing to undergo security clearance checks by the UK Government.
In depth experience in programming languages, such as Python, R, C#, or Java, and software development techniques, such as CI/CD, Docker, or REST API.
Proficiency in data science tools, deployment technologies, and frameworks, such as Azure Machine Learning, Azure Cognitive Services, Azure Databricks, Kubernetes or Azure Functions, Hadoop, Spark, Delta Lake, MLflow, or TensorFlow.
Proficiency in communicating with clarity and impact, such as influencing others, oral communication, storytelling, technical communication, or written communication.

#Azurecorejobs

Responsibilities

Understand the business objectives and challenges of customers and partners and formulate data-driven solutions. Acquire, prepare, and analyse data from various sources, ensuring data quality and integrity. Select and apply appropriate machine learning models and algorithms to address specific problems and scenarios. Train, optimize, evaluate, and deploy machine learning models at scale, using Microsoft tools and frameworks. Present and explain the results and implications of data analysis and modeling to senior customer stakeholders. Research and keep up with the latest industry trends, technologies, and advances in data science, machine learning, and artificial intelligence. Collaborate with Microsoft program managers, engineers, and cross-functional teams to deliver high-quality solutions and customer satisfaction.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.Industry leading healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect

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.