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Senior Data Scientist

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Microsoft Corporation

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Location:
United Kingdom , Multiple Locations

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Are you an experienced Data Scientist, with genuine passion for discovery and problem-solving? Would you like to be a part of a global customer-facing team focussed on tackling complex, real-world business problems? Are you excited to be a part of a world-class community of technical leaders, highly specialised in their disciplines and working together as one to bring the best practices of Artificial Intelligence, Machine Learning, Engineering and Architecture to world’s largest enterprise customers? The Industry Solutions Delivery (ISD) Engineering & Architecture Group (EAG) is a global engineering consulting organisation that supports our most complex and leading-edge customer engagements in improving their business performance with the power of Data & AI. EAG develops approaches, innovative solutions, and engineering standards to set our delivery teams and customers up for long-lasting success. We are committed to Responsible AI, and we help our customers build and operate ethical, transparent and trustworthy AI solutions. We are hiring a Senior Data Scientist with deep experience in advanced statistical data analysis, machine learning and artificial intelligence. Our team embraces a continuous learning and growth mindset, encourages diverse viewpoints and relentless collaboration. We value personal and cultural experiences and strive for excellence. We offer a flexible work environment to help you succeed in creating transformative and responsible AI solutions that positively impact economy and people worldwide.

Job Responsibility:

  • Leverage data science, AI and business domain knowledge to improve business performance, evaluate project plans, communicate business goals, and share insights with stakeholders
  • Acquire, prepare, and explore data through querying, visualisation, reporting techniques, and collaboration with other teams, ensuring data integrity
  • Apply machine learning, generative AI and statistical analysis to develop models, train, optimise, and evaluate them, and communicate findings to stakeholders
  • Design and deliver machine learning solutions covering Generative AI, Agentic solutions, computer vision, speech processing, forecasting, NLP, classification, clustering, reinforcement learning and optimization
  • Test, review, and improve models by analysing performance, incorporating feedback, and contributing to the review process
  • Write and debug efficient and scalable code while collaborating with engineering teams and integrate data models into customer systems and production
  • Collaborate with customers and Microsoft teams to define business needs, create roadmaps for performance improvements, and influence stakeholders using storytelling and visual tools to drive solution value
  • Uphold ethical standards by emphasizing Responsible AI principles in guiding stakeholders throughout the process
  • Focus on customer needs and perspectives to promote adoption and build trust
  • Develop and execute tailored solutions by overcoming obstacles and leveraging in-depth knowledge of best-in-class open-source technologies and Microsoft products
  • Maintain transparency about data limitations to set realistic expectations and ensure accountability

Requirements:

  • Bachelor's degree in data science, Computer Science, Statistics, or a related field (master's or PhD preferred)
  • 8+ years of business-focused data science experience
  • Deep experience in advanced statistical data analysis, machine learning and artificial intelligence
  • Excels in leading complex projects, designing scalable solutions, and applying advanced techniques to solve business challenges
  • Strong coding, problem-solving, and communication skills
  • Clear understanding on the latest industry-wide developments
  • Can act as role model apprenticing and growing our people and community
What we offer:

Flexible work environment

Additional Information:

Job Posted:
March 04, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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