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
Create job alert

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

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist - Consumer Behaviour – exciting ‘scale up’ proposition

Senior Data Scientist – Machine Learning -  Defence – Eligible for SC

Senior Data Scientist role - Financial Services | Guildford £80k

Senior Data Scientist

Senior Data Scientist

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.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.

Top 10 Mistakes Candidates Make When Applying for AI Jobs—And How to Avoid Them

Avoid the biggest pitfalls when applying for artificial intelligence jobs. Discover the top 10 mistakes AI candidates make—plus expert tips and internal resources to land your dream role. Introduction The market for AI jobs in the UK is booming. From computer-vision start-ups in Cambridge to global fintechs in London searching for machine-learning engineers, demand for artificial-intelligence talent shows no sign of slowing. But while vacancies grow, so does the competition. Recruiters tell us they reject up to 75 per cent of applications before shortlisting—often for mistakes that could have been fixed in minutes. To help you stand out, we’ve analysed thousands of recent applications posted on ArtificialIntelligenceJobs.co.uk, spoken with in-house talent teams and independent recruiters, and distilled their feedback into a definitive “top mistakes” list. Below you’ll find the ten most common errors, along with actionable fixes, keyword-rich guidance and handy internal links to deeper resources on our site. Bookmark this page before you hit “Apply”—it could be the difference between the “reject” pile and a career-defining interview.