My client is one of the largest providers of consulting and technology services, providing a collaborative, friendly and entrepreneurial environment. A truly global consultancy with offices based in central London and a broad client base of blue chip companies, the company operates across a variety of sectors and industries. Working within business analytics and modelling you will provide the expertise and structured thinking allowing you to develop innovative analytical solutions to complex business problems. Due to growth, they are seeking a highly skilled Senior Consultants to join a new team. The ideal candidate will have knowledge and previous experience in Generative AI (Gen AI) and Large Language Models (LLM) development and evaluation. They will also have extensive experience in customer behaviour analytics, marketing, commercial, web, or product analytics, and possess domain knowledge in marketing, customer, digital, and commercial sectors. Additionally, the candidate should have strong project management and people management skills. What We Look For Previous experience in data science, with proven experience in Generative AI and LLM development and evaluation. Hands on experience in customer behaviour analytics, marketing, commercial, web, or product analytics with core focus in customer experience (if available) Build and evaluate Generative AI solutions and Large Language Models (LLMs) for various use cases. Develop and implement machine learning models, including predictive, forecasting, classification, and deep learning models. Experience in working with various data sets, including transactional/EPOS, digital, social, loyalty etc. Hands on experience in using programming languages such as Python Knowledge of cloud platforms and tools for data science and machine learning. Utilise visualization tools such as Power BI or Tableau to present data insights effectively. Collaborate with cross-functional teams to understand business challenges and create valuables products/solutions Proven project management experience, including planning, execution, and successful delivery of AI/ML POCs, MVPs and production grade solutions. People management skills, including mentoring, guiding, and developing team members. Job Owner: J.Shapland
Nov 20, 2025
Full time
My client is one of the largest providers of consulting and technology services, providing a collaborative, friendly and entrepreneurial environment. A truly global consultancy with offices based in central London and a broad client base of blue chip companies, the company operates across a variety of sectors and industries. Working within business analytics and modelling you will provide the expertise and structured thinking allowing you to develop innovative analytical solutions to complex business problems. Due to growth, they are seeking a highly skilled Senior Consultants to join a new team. The ideal candidate will have knowledge and previous experience in Generative AI (Gen AI) and Large Language Models (LLM) development and evaluation. They will also have extensive experience in customer behaviour analytics, marketing, commercial, web, or product analytics, and possess domain knowledge in marketing, customer, digital, and commercial sectors. Additionally, the candidate should have strong project management and people management skills. What We Look For Previous experience in data science, with proven experience in Generative AI and LLM development and evaluation. Hands on experience in customer behaviour analytics, marketing, commercial, web, or product analytics with core focus in customer experience (if available) Build and evaluate Generative AI solutions and Large Language Models (LLMs) for various use cases. Develop and implement machine learning models, including predictive, forecasting, classification, and deep learning models. Experience in working with various data sets, including transactional/EPOS, digital, social, loyalty etc. Hands on experience in using programming languages such as Python Knowledge of cloud platforms and tools for data science and machine learning. Utilise visualization tools such as Power BI or Tableau to present data insights effectively. Collaborate with cross-functional teams to understand business challenges and create valuables products/solutions Proven project management experience, including planning, execution, and successful delivery of AI/ML POCs, MVPs and production grade solutions. People management skills, including mentoring, guiding, and developing team members. Job Owner: J.Shapland
Overview Are you a data visionary? Don't miss this opportunity to make a significant impact. Unlock the power of your data. Our client is seeking a highly skilled senior data science consultant to join their team. This is an exciting opportunity to work on challenging projects and drive business growth through data-driven insights. You'll be instrumental in driving data-driven solutions for their clients across various industries. Why This Role Work on exciting projects: Be part of shaping the future of business and technology. Continuous learning: Access to cutting-edge training and development opportunities. Flexible work: Enjoy a balanced work-life with flexible work arrangements. Make a difference: Contribute to projects with a positive social impact. What You'll Do Spearhead and deliver high-impact data science projects from conception to deployment, driving business value through data-driven insights. Develop and implement advanced data science models and algorithms to extract actionable insights from complex datasets. Master and apply cutting-edge AI and machine learning techniques to solve complex business challenges. Collaborate effectively with cross-functional teams to create innovative data solutions and drive business growth. Mentor and develop junior data scientists to build a high-performing data team and foster a data-driven culture. What You'll Need Proven expertise in data science with a focus on delivering business value. With a preference for experience in a consulting role. Strong foundation in statistical modelling, machine learning, and data mining. Proficiency in Python, R, or similar programming languages. Experience with cloud platforms (AWS, GCP, Azure) is a plus. A passion for solving complex problems and a desire to make a lasting impact. Please note - this client is unable to offer sponsorship. Job Owner: d.prosser Tagged as: Python, SQL
Nov 20, 2025
Full time
Overview Are you a data visionary? Don't miss this opportunity to make a significant impact. Unlock the power of your data. Our client is seeking a highly skilled senior data science consultant to join their team. This is an exciting opportunity to work on challenging projects and drive business growth through data-driven insights. You'll be instrumental in driving data-driven solutions for their clients across various industries. Why This Role Work on exciting projects: Be part of shaping the future of business and technology. Continuous learning: Access to cutting-edge training and development opportunities. Flexible work: Enjoy a balanced work-life with flexible work arrangements. Make a difference: Contribute to projects with a positive social impact. What You'll Do Spearhead and deliver high-impact data science projects from conception to deployment, driving business value through data-driven insights. Develop and implement advanced data science models and algorithms to extract actionable insights from complex datasets. Master and apply cutting-edge AI and machine learning techniques to solve complex business challenges. Collaborate effectively with cross-functional teams to create innovative data solutions and drive business growth. Mentor and develop junior data scientists to build a high-performing data team and foster a data-driven culture. What You'll Need Proven expertise in data science with a focus on delivering business value. With a preference for experience in a consulting role. Strong foundation in statistical modelling, machine learning, and data mining. Proficiency in Python, R, or similar programming languages. Experience with cloud platforms (AWS, GCP, Azure) is a plus. A passion for solving complex problems and a desire to make a lasting impact. Please note - this client is unable to offer sponsorship. Job Owner: d.prosser Tagged as: Python, SQL
A fast-growing start-up consisting of 20+ brilliant consultants, laser-focused on transforming the consumer goods and retail sectors through the power of data science and analytics. Their mission? To help our clients save time, cut costs, and make smarter decisions - all by delivering proprietary, highly scalable solutions that actually get used, not left to gather dust. Here, you won't just be tinkering with "nice-to-have" proof of concepts. You'll be creating real, high-impact solutions that are deployed, scaled, and celebrated for the tangible value they deliver. We thrive on entrepreneurial spirit, encouraging every team member to harness their innovation and creativity. With state-of-the-art AI at your fingertips, you'll have the freedom and tools to bring bold ideas to life. If you're excited by the thought of working in a tight-knit, ambitious team where your work matters, your voice counts, and your ideas can shape the future - they would love to meet you. The Role You'll be at the cutting edge of solving real-world challenges in the consumer goods and retail sectors - from tackling food waste reduction to optimising promotions and markdowns - all through the power of probabilistic machine learning. You'll collaborate closely with client technical teams and your fellow consultants to design, build, and deploy solutions that don't just sit on a shelf, but make a measurable impact. What You'll Be Doing Shaping solutions from the ground up - running interactive client workshops to uncover pain points, understand requirements, and design impactful solutions. Engineering smart architectures - aligning solution designs with client technical teams to ensure smooth integration and long-term scalability. Building intelligent pipelines - creating model pipelines for training ML models, hosting them on client cloud platforms, and setting up performance monitoring for continuous improvement. Bringing AI to life for users - integrating front-ends with transformed data and ML outputs, running structured tests, and ensuring a high-quality experience for end users. Customising and innovating - working with front-end developers to adapt Python or Power BI interfaces to user needs and feedback. Inventing what's next - spotting new opportunities beyond the current scope, developing innovative ideas, and building greenfield solutions from concept to MVP. If you love combining deep technical work with creative problem solving, enjoy working directly with clients, and want to see your work deliver real, measurable results in the wild, this is your stage. The Candidate Several years of data science expertise, ideally within the supply chain domain A background in consulting and/or working within the cpg/retail industries Knowledge of Bayesian statistics, but broader ML experience, e.g. time series modeling and forecasting will be considered Strong communication skills, with the ability to distil and translate complex concepts into simple and actionable insights for stakeholders An excellent academic profile in a quantitative subject
Nov 20, 2025
Full time
A fast-growing start-up consisting of 20+ brilliant consultants, laser-focused on transforming the consumer goods and retail sectors through the power of data science and analytics. Their mission? To help our clients save time, cut costs, and make smarter decisions - all by delivering proprietary, highly scalable solutions that actually get used, not left to gather dust. Here, you won't just be tinkering with "nice-to-have" proof of concepts. You'll be creating real, high-impact solutions that are deployed, scaled, and celebrated for the tangible value they deliver. We thrive on entrepreneurial spirit, encouraging every team member to harness their innovation and creativity. With state-of-the-art AI at your fingertips, you'll have the freedom and tools to bring bold ideas to life. If you're excited by the thought of working in a tight-knit, ambitious team where your work matters, your voice counts, and your ideas can shape the future - they would love to meet you. The Role You'll be at the cutting edge of solving real-world challenges in the consumer goods and retail sectors - from tackling food waste reduction to optimising promotions and markdowns - all through the power of probabilistic machine learning. You'll collaborate closely with client technical teams and your fellow consultants to design, build, and deploy solutions that don't just sit on a shelf, but make a measurable impact. What You'll Be Doing Shaping solutions from the ground up - running interactive client workshops to uncover pain points, understand requirements, and design impactful solutions. Engineering smart architectures - aligning solution designs with client technical teams to ensure smooth integration and long-term scalability. Building intelligent pipelines - creating model pipelines for training ML models, hosting them on client cloud platforms, and setting up performance monitoring for continuous improvement. Bringing AI to life for users - integrating front-ends with transformed data and ML outputs, running structured tests, and ensuring a high-quality experience for end users. Customising and innovating - working with front-end developers to adapt Python or Power BI interfaces to user needs and feedback. Inventing what's next - spotting new opportunities beyond the current scope, developing innovative ideas, and building greenfield solutions from concept to MVP. If you love combining deep technical work with creative problem solving, enjoy working directly with clients, and want to see your work deliver real, measurable results in the wild, this is your stage. The Candidate Several years of data science expertise, ideally within the supply chain domain A background in consulting and/or working within the cpg/retail industries Knowledge of Bayesian statistics, but broader ML experience, e.g. time series modeling and forecasting will be considered Strong communication skills, with the ability to distil and translate complex concepts into simple and actionable insights for stakeholders An excellent academic profile in a quantitative subject
Join a Global Technology Consultancy and Shape the Future of Data Are you a seasoned data management professional looking to make a significant impact? About the Role As a Senior Data Management Consultant at this global consultancy, you'll play a pivotal role in guiding organisations towards data driven excellence. You'll work closely with clients to develop and implement robust data management strategies, ensuring data quality, security, and governance. Your expertise will be instrumental in helping clients unlock the full potential of their data assets. Why Choose Them Global Leadership: Be part of a successful global technology consultancy shaping the future of data. Challenging Projects: Work on diverse and impactful projects that drive real world business outcomes. Collaborative Culture: Collaborate with talented professionals from diverse backgrounds in a supportive and inclusive environment. Work Life Balance: Enjoy a flexible work environment and competitive benefits that support your professional and personal goals. Continuous Development: Benefit from opportunities for ongoing learning and development, staying at the forefront of data management trends. Key Responsibilities Data Governance and Ethics: Develop and implement comprehensive data governance frameworks that align with business objectives and regulatory requirements. Ensure adherence to ethical concepts and best practices in data management. Data Modelling and Architecture: Design and optimise data architectures to support complex data driven initiatives. Create robust data models that capture the nuances of business processes and information needs. Data Maturity Assessments: Conduct in depth assessments of clients' data capabilities and identify areas for improvement. Develop tailored recommendations to enhance data quality, governance, and utilisation. Cutting Edge Solutions: Implement innovative data management solutions leveraging advanced technologies such as AI, machine learning, and automation. Stay abreast of emerging trends and industry best practices to drive competitive advantage. Client Collaboration: Foster strong partnerships with clients to understand their unique challenges and opportunities. Collaborate closely with stakeholders to align data strategies with business goals and deliver measurable value. What We're Looking For Deep Understanding of Data Management: Proven expertise in data quality, governance, security, and metadata management. Proficiency in Data Management Tools: Strong technical skills in tools like Informatica, Collibra, Talend, and Erwin. Data Modelling and Architecture: Ability to design and implement complex data models and architectures. Analytical and Problem Solving Skills: Proficiency in data analysis, problem solving, and decision making. Effective Communication and Interpersonal Skills: Ability to convey technical concepts, build relationships, and manage stakeholders. Innovation and Results Orientation: Passion for innovation, results driven mindset, and commitment to continuous learning.
Nov 20, 2025
Full time
Join a Global Technology Consultancy and Shape the Future of Data Are you a seasoned data management professional looking to make a significant impact? About the Role As a Senior Data Management Consultant at this global consultancy, you'll play a pivotal role in guiding organisations towards data driven excellence. You'll work closely with clients to develop and implement robust data management strategies, ensuring data quality, security, and governance. Your expertise will be instrumental in helping clients unlock the full potential of their data assets. Why Choose Them Global Leadership: Be part of a successful global technology consultancy shaping the future of data. Challenging Projects: Work on diverse and impactful projects that drive real world business outcomes. Collaborative Culture: Collaborate with talented professionals from diverse backgrounds in a supportive and inclusive environment. Work Life Balance: Enjoy a flexible work environment and competitive benefits that support your professional and personal goals. Continuous Development: Benefit from opportunities for ongoing learning and development, staying at the forefront of data management trends. Key Responsibilities Data Governance and Ethics: Develop and implement comprehensive data governance frameworks that align with business objectives and regulatory requirements. Ensure adherence to ethical concepts and best practices in data management. Data Modelling and Architecture: Design and optimise data architectures to support complex data driven initiatives. Create robust data models that capture the nuances of business processes and information needs. Data Maturity Assessments: Conduct in depth assessments of clients' data capabilities and identify areas for improvement. Develop tailored recommendations to enhance data quality, governance, and utilisation. Cutting Edge Solutions: Implement innovative data management solutions leveraging advanced technologies such as AI, machine learning, and automation. Stay abreast of emerging trends and industry best practices to drive competitive advantage. Client Collaboration: Foster strong partnerships with clients to understand their unique challenges and opportunities. Collaborate closely with stakeholders to align data strategies with business goals and deliver measurable value. What We're Looking For Deep Understanding of Data Management: Proven expertise in data quality, governance, security, and metadata management. Proficiency in Data Management Tools: Strong technical skills in tools like Informatica, Collibra, Talend, and Erwin. Data Modelling and Architecture: Ability to design and implement complex data models and architectures. Analytical and Problem Solving Skills: Proficiency in data analysis, problem solving, and decision making. Effective Communication and Interpersonal Skills: Ability to convey technical concepts, build relationships, and manage stakeholders. Innovation and Results Orientation: Passion for innovation, results driven mindset, and commitment to continuous learning.
