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The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers to leverage the latest technologies to address their toughest challenges. We collaborate with customers’ engineers to jointly develop cloud-based solutions, work with Microsoft product teams, partners, and open-source communities, and contribute to open source to empower customers to do more with the cloud.

We develop solutions side-by-side with our customers through collaborative innovation to solve challenges. You will work with engineers from your team and our customers’ teams to apply your skills, perspectives, and creativity to grow as engineers and help solve our customers’ toughest challenges. We are hiring a Senior Data Scientist with deep experience in data management and expertise in developing statistical techniques to analyze data and find patterns. You will work side-by-side with high-impact engineers and strategic customers to solve complex problems, communicate trends and innovative solutions to stakeholders, and work cross-functionally with several teams to deploy business solutions. Our team embraces a growth mindset, inspires excellence, and encourages everyone to share their unique viewpoints and be authentic selves.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. We value respect, integrity, and accountability and strive for an inclusive culture where everyone can thrive at work and beyond.

Responsibilities

• Data Preparation and Understanding: Manages data collection and preparation for projects. Handles data engineering for production code.
• Modeling and Statistical Analysis: Applies machine learning solutions, designs experiments, operationalizes models at scale, writes scripts, and coaches junior engineers.
• Evaluation: Aligns models with business objectives, designs evaluation methods, mentors engineers, and presents results to senior stakeholders. Drives Responsible AI practices.
• Industry and Research Knowledge/Opportunity Identification: Provides feedback and guidance based on business knowledge and industry trends.
• Coding and Debugging: Demonstrates strong coding and debugging skills across features/solutions.
• Customer & Partner Business Management: Leads data-driven projects, collaborates with stakeholders, and delivers customer-oriented solutions.
• ML Engineering and MLOps: Designs and maintains scalable ML pipelines, lifecycle management, and governance for reliable production models.

Qualifications

Required/Minimum Qualifications

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND relevant data-science experience OR
• Master's Degree in the same fields with relevant data-science experience OR
• Bachelor's Degree in the same fields with relevant data-science experience or equivalent experience.
• Customer-facing, project-delivery, professional services, and/or consulting experience.
• Proficient in Python with experience in Pandas, Scikit-learn, and the Python ML stack; strong coding skills for developing and maintaining ML models.
• Willingness to travel up to 25% and ability to obtain SC clearance in the future.

Preferred Qualifications

• Proficiency in additional languages (e.g., C#, Java, C/C++).
• Experience with computer vision, forecasting, recommendation systems, NLP, and various ML domains.
• Familiarity with deep learning frameworks (TensorFlow, PyTorch); GenAI/LLMs a plus.
• Experience with Agile, Git, ML deployment, monitoring, CI/CD, and governance.
• Strong communication of technical concepts to business and technical audiences.
• Experience across industries such as financial services, retail, marketing, healthcare, manufacturing, media, or telecommunications.
• Comfortable with regional travel up to 25%.
• Familiarity with Spark, SQL, Graph stores, or NoSQL stores.
• MS or PhD in Computer Science, Electrical Engineering, Statistics, Operations Research, or related field.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by law. If you need assistance or a reasonable accommodation during the application process, read more about requesting accommodations.

Location: London, England, United Kingdom