Data Scientist (AI & Conversational Analytics)
Posted on Jul 22, 2026 by CV-Library
London, United Kingdom
IT
Immediate Start
£90k - £110k Annual
Full-Time
Data Scientist (AI & Conversational Analytics)
Hybrid - 1 day per week in office
A leading global organisation is seeking an experienced Data Scientist to help shape the future of enterprise analytics and AI-enabled decision making.
This is a unique opportunity to play a key role in the development of trusted, conversational analytics solutions powered by AI and advanced data modelling. Working closely with senior leadership, you will help transform complex business data into intuitive, natural language insights while ensuring the highest standards of governance, accuracy, and explainability.
Key Responsibilities
Design and deliver AI-powered conversational analytics solutions using enterprise data models and business intelligence platforms.
Develop trusted, fact-based insight experiences that minimise AI hallucinations and provide clear, explainable outputs.
Partner with data, BI, and technology teams to optimise semantic models for AI readiness.
Apply data science, machine learning, NLP, and advanced analytics techniques to enhance insight generation and anomaly detection.
Contribute to the organisation's long-term Data & AI strategy, influencing senior stakeholders and executive leadership.
Establish best practices, standards, and governance frameworks for responsible AI adoption.
Coach and support analytics teams in developing AI-ready modelling and insight capabilities.
About You
Strong experience in Data Science, Machine Learning, Applied Analytics, or a related field.
Proven ability to develop strategy and influence senior stakeholders, including executive-level audiences.
Hands-on experience with enterprise data modelling, semantic layers, and business intelligence platforms (Power BI experience highly desirable).
Experience working with LLMs, conversational AI, natural language analytics, or generative AI solutions.
Deep understanding of data governance, data quality, statistical validation, and AI risk management.
Comfortable operating in evolving environments where you can shape direction and define solutions.
Desirable Experience
Microsoft Copilot, Azure OpenAI, or similar AI platforms.
Retrieval-Augmented Generation (RAG) and semantic grounding techniques.
Executive-level analytics solutions and trusted AI implementations.
Highly regulated or data-governed environments.
What We Offer
Opportunity to influence enterprise-wide AI and analytics strategy.
Exposure to executive stakeholders and high-impact business initiatives.
A collaborative environment focused on innovation, data-driven decision making, and responsible AI adoption.
Hybrid working with flexibility and a strong commitment to professional development.Please note: This role focuses on building trusted, enterprise-grade AI insight solutions where accuracy, governance, and business value are paramount.
Apply now to avoid disappointment!
To find out more about Huxley, please visit
Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales
Hybrid - 1 day per week in office
A leading global organisation is seeking an experienced Data Scientist to help shape the future of enterprise analytics and AI-enabled decision making.
This is a unique opportunity to play a key role in the development of trusted, conversational analytics solutions powered by AI and advanced data modelling. Working closely with senior leadership, you will help transform complex business data into intuitive, natural language insights while ensuring the highest standards of governance, accuracy, and explainability.
Key Responsibilities
Design and deliver AI-powered conversational analytics solutions using enterprise data models and business intelligence platforms.
Develop trusted, fact-based insight experiences that minimise AI hallucinations and provide clear, explainable outputs.
Partner with data, BI, and technology teams to optimise semantic models for AI readiness.
Apply data science, machine learning, NLP, and advanced analytics techniques to enhance insight generation and anomaly detection.
Contribute to the organisation's long-term Data & AI strategy, influencing senior stakeholders and executive leadership.
Establish best practices, standards, and governance frameworks for responsible AI adoption.
Coach and support analytics teams in developing AI-ready modelling and insight capabilities.
About You
Strong experience in Data Science, Machine Learning, Applied Analytics, or a related field.
Proven ability to develop strategy and influence senior stakeholders, including executive-level audiences.
Hands-on experience with enterprise data modelling, semantic layers, and business intelligence platforms (Power BI experience highly desirable).
Experience working with LLMs, conversational AI, natural language analytics, or generative AI solutions.
Deep understanding of data governance, data quality, statistical validation, and AI risk management.
Comfortable operating in evolving environments where you can shape direction and define solutions.
Desirable Experience
Microsoft Copilot, Azure OpenAI, or similar AI platforms.
Retrieval-Augmented Generation (RAG) and semantic grounding techniques.
Executive-level analytics solutions and trusted AI implementations.
Highly regulated or data-governed environments.
What We Offer
Opportunity to influence enterprise-wide AI and analytics strategy.
Exposure to executive stakeholders and high-impact business initiatives.
A collaborative environment focused on innovation, data-driven decision making, and responsible AI adoption.
Hybrid working with flexibility and a strong commitment to professional development.Please note: This role focuses on building trusted, enterprise-grade AI insight solutions where accuracy, governance, and business value are paramount.
Apply now to avoid disappointment!
To find out more about Huxley, please visit
Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales
Reference: 225399504
https://jobs.careeraddict.com/post/113590793
Data Scientist (AI & Conversational Analytics)
Posted on Jul 22, 2026 by CV-Library
London, United Kingdom
IT
Immediate Start
£90k - £110k Annual
Full-Time
Data Scientist (AI & Conversational Analytics)
Hybrid - 1 day per week in office
A leading global organisation is seeking an experienced Data Scientist to help shape the future of enterprise analytics and AI-enabled decision making.
This is a unique opportunity to play a key role in the development of trusted, conversational analytics solutions powered by AI and advanced data modelling. Working closely with senior leadership, you will help transform complex business data into intuitive, natural language insights while ensuring the highest standards of governance, accuracy, and explainability.
Key Responsibilities
Design and deliver AI-powered conversational analytics solutions using enterprise data models and business intelligence platforms.
Develop trusted, fact-based insight experiences that minimise AI hallucinations and provide clear, explainable outputs.
Partner with data, BI, and technology teams to optimise semantic models for AI readiness.
Apply data science, machine learning, NLP, and advanced analytics techniques to enhance insight generation and anomaly detection.
Contribute to the organisation's long-term Data & AI strategy, influencing senior stakeholders and executive leadership.
Establish best practices, standards, and governance frameworks for responsible AI adoption.
Coach and support analytics teams in developing AI-ready modelling and insight capabilities.
About You
Strong experience in Data Science, Machine Learning, Applied Analytics, or a related field.
Proven ability to develop strategy and influence senior stakeholders, including executive-level audiences.
Hands-on experience with enterprise data modelling, semantic layers, and business intelligence platforms (Power BI experience highly desirable).
Experience working with LLMs, conversational AI, natural language analytics, or generative AI solutions.
Deep understanding of data governance, data quality, statistical validation, and AI risk management.
Comfortable operating in evolving environments where you can shape direction and define solutions.
Desirable Experience
Microsoft Copilot, Azure OpenAI, or similar AI platforms.
Retrieval-Augmented Generation (RAG) and semantic grounding techniques.
Executive-level analytics solutions and trusted AI implementations.
Highly regulated or data-governed environments.
What We Offer
Opportunity to influence enterprise-wide AI and analytics strategy.
Exposure to executive stakeholders and high-impact business initiatives.
A collaborative environment focused on innovation, data-driven decision making, and responsible AI adoption.
Hybrid working with flexibility and a strong commitment to professional development.Please note: This role focuses on building trusted, enterprise-grade AI insight solutions where accuracy, governance, and business value are paramount.
Apply now to avoid disappointment!
To find out more about Huxley, please visit
Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales
Hybrid - 1 day per week in office
A leading global organisation is seeking an experienced Data Scientist to help shape the future of enterprise analytics and AI-enabled decision making.
This is a unique opportunity to play a key role in the development of trusted, conversational analytics solutions powered by AI and advanced data modelling. Working closely with senior leadership, you will help transform complex business data into intuitive, natural language insights while ensuring the highest standards of governance, accuracy, and explainability.
Key Responsibilities
Design and deliver AI-powered conversational analytics solutions using enterprise data models and business intelligence platforms.
Develop trusted, fact-based insight experiences that minimise AI hallucinations and provide clear, explainable outputs.
Partner with data, BI, and technology teams to optimise semantic models for AI readiness.
Apply data science, machine learning, NLP, and advanced analytics techniques to enhance insight generation and anomaly detection.
Contribute to the organisation's long-term Data & AI strategy, influencing senior stakeholders and executive leadership.
Establish best practices, standards, and governance frameworks for responsible AI adoption.
Coach and support analytics teams in developing AI-ready modelling and insight capabilities.
About You
Strong experience in Data Science, Machine Learning, Applied Analytics, or a related field.
Proven ability to develop strategy and influence senior stakeholders, including executive-level audiences.
Hands-on experience with enterprise data modelling, semantic layers, and business intelligence platforms (Power BI experience highly desirable).
Experience working with LLMs, conversational AI, natural language analytics, or generative AI solutions.
Deep understanding of data governance, data quality, statistical validation, and AI risk management.
Comfortable operating in evolving environments where you can shape direction and define solutions.
Desirable Experience
Microsoft Copilot, Azure OpenAI, or similar AI platforms.
Retrieval-Augmented Generation (RAG) and semantic grounding techniques.
Executive-level analytics solutions and trusted AI implementations.
Highly regulated or data-governed environments.
What We Offer
Opportunity to influence enterprise-wide AI and analytics strategy.
Exposure to executive stakeholders and high-impact business initiatives.
A collaborative environment focused on innovation, data-driven decision making, and responsible AI adoption.
Hybrid working with flexibility and a strong commitment to professional development.Please note: This role focuses on building trusted, enterprise-grade AI insight solutions where accuracy, governance, and business value are paramount.
Apply now to avoid disappointment!
To find out more about Huxley, please visit
Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales
Reference: 225399504
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