151 to 175 of 249 Statistical Modelling Jobs in the UK

FMCG. They pride ourselves on nurturing talent and fostering a culture of innovation and inclusion. As a Senior Consultant, you will: Lead projects to deliver actionable insights using advanced statistical modeling and research integration. Drive business development , contributing to proposals and pitches. Collaborate on product development and innovate new analytical approaches. Work with diverse datasets, ensuring quality control and More ❯

FMCG. They pride ourselves on nurturing talent and fostering a culture of innovation and inclusion. As a Senior Consultant, you will: Lead projects to deliver actionable insights using advanced statistical modeling and research integration. Drive business development , contributing to proposals and pitches. Collaborate on product development and innovate new analytical approaches. Work with diverse datasets, ensuring quality control and More ❯

in day-to-day business processes. Skills & Experience: Proven expertise in General AI, Natural Language Processing, and Machine Learning. Demonstrable experience in managing lifecycle of large language models and statistical language models including training and fine-tuning. Strong proficiency in Python, Java, and SQL/NoSQL databases, along with API development and data integration techniques. Practical experience with deploying More ❯

designing, training, and deploying machine learning models in production. Strong proficiency in Python and key ML frameworks ( PyTorch , TensorFlow , scikit-learn ). Deep understanding of machine learning algorithms and statistical modelling. Ability to work independently while collaborating effectively within technical teams. Excellent analytical , problem-solving , and communication skills. NICE TO HAVE: Hands-on experience with LLMs and Natural Language More ❯

Dynamics, HubSpot etc.) Proficient in SQL. Strong commercial mindset with the ability to link data insight to business outcomes Deep technical expertise in analytics platforms, data visualisation tools, and statistical modelling. Experience in service-orientated and commercial B2B sectors is an advantage. Experience 10 years experience in data and analytics. 5 years experience in lead generation. Experiencing of leading More ❯

Dynamics, HubSpot etc.) Proficient in SQL. Strong commercial mindset with the ability to link data insight to business outcomes Deep technical expertise in analytics platforms, data visualisation tools, and statistical modelling. Experience in service-orientated and commercial B2B sectors is an advantage. Experience 10 years' experience in data and analytics. 5 years' experience in lead generation. Experiencing of leading More ❯

Dynamics, HubSpot etc.) Proficient in SQL. Strong commercial mindset with the ability to link data insight to business outcomes Deep technical expertise in analytics platforms, data visualisation tools, and statistical modelling. Experience in service-orientated and commercial B2B sectors is an advantage. Experience 10 years’ experience in data and analytics. 5 years’ experience in lead generation. Experiencing of leading More ❯

Dynamics, HubSpot etc.) Proficient in SQL. Strong commercial mindset with the ability to link data insight to business outcomes Deep technical expertise in analytics platforms, data visualisation tools, and statistical modelling. Experience in service-orientated and commercial B2B sectors is an advantage. Experience 10 years’ experience in data and analytics. 5 years’ experience in lead generation. Experiencing of leading More ❯

Dynamics, HubSpot etc.) Proficient in SQL. Strong commercial mindset with the ability to link data insight to business outcomes Deep technical expertise in analytics platforms, data visualisation tools, and statistical modelling. Experience in service-orientated and commercial B2B sectors is an advantage. Experience 10 years’ experience in data and analytics. 5 years’ experience in lead generation. Experiencing of leading More ❯

Job Summary: We are looking for a detail-oriented and analytical Data Analyst to collect, process, and perform statistical analyses on large datasets. The ideal candidate has a strong foundation in data analytics, critical thinking skills, and the ability to transform data into actionable insights to support strategic decision-making. Key Responsibilities: Collect, clean, and validate data from multiple … field. Proficiency in data analysis tools and languages such as SQL, Excel, Python, or R. Experience with data visualization tools like Tableau, Power BI, or Looker. Strong understanding of statistical methods and data modelling techniques. Ability to work with large datasets and manage multiple tasks effectively. Strong communication skills with the ability to present complex information clearly. More ❯

acquisition, retention, and loyalty strategy, working cross-functionally with Marketing and Product teams to turn insight into commercial impact. Responsibilities include Owning customer analytics projects such as segmentation, churn modelling, LTV, and lifecycle optimisation Designing and analysing A/B and multivariate tests to shape acquisition and retention strategies Using SQL and dashboarding tools such as Tableau or Looker … environments Ability to translate analytical outputs into strategic recommendations and tell clear data stories Experience designing or analysing A/B testing and customer lifecycle analytics Python skills for statistical modelling or automation are an advantage This role offers a hybrid setup (typically two days per week in the London office), a base salary of approximately More ❯

acquisition, retention, and loyalty strategy, working cross-functionally with Marketing and Product teams to turn insight into commercial impact. Responsibilities include Owning customer analytics projects such as segmentation, churn modelling, LTV, and lifecycle optimisation Designing and analysing A/B and multivariate tests to shape acquisition and retention strategies Using SQL and dashboarding tools such as Tableau or Looker … environments Ability to translate analytical outputs into strategic recommendations and tell clear data stories Experience designing or analysing A/B testing and customer lifecycle analytics Python skills for statistical modelling or automation are an advantage This role offers a hybrid setup (typically two days per week in the London office), a base salary of approximately More ❯

acquisition, retention, and loyalty strategy, working cross-functionally with Marketing and Product teams to turn insight into commercial impact. Responsibilities include Owning customer analytics projects such as segmentation, churn modelling, LTV, and lifecycle optimisation Designing and analysing A/B and multivariate tests to shape acquisition and retention strategies Using SQL and dashboarding tools such as Tableau or Looker … environments Ability to translate analytical outputs into strategic recommendations and tell clear data stories Experience designing or analysing A/B testing and customer lifecycle analytics Python skills for statistical modelling or automation are an advantage This role offers a hybrid setup (typically two days per week in the London office), a base salary of approximately More ❯

acquisition, retention, and loyalty strategy, working cross-functionally with Marketing and Product teams to turn insight into commercial impact. Responsibilities include Owning customer analytics projects such as segmentation, churn modelling, LTV, and lifecycle optimisation Designing and analysing A/B and multivariate tests to shape acquisition and retention strategies Using SQL and dashboarding tools such as Tableau or Looker … environments Ability to translate analytical outputs into strategic recommendations and tell clear data stories Experience designing or analysing A/B testing and customer lifecycle analytics Python skills for statistical modelling or automation are an advantage This role offers a hybrid setup (typically two days per week in the London office), a base salary of approximately More ❯

defining approaches to complex data challenges, guiding enterprise-scale AI applications, and mentoring a team of talented data scientists. What You’ll Bring 🔥 Deep expertise in machine learning and statistical modelling ⚙️ Skilled with core data science tools (NumPy, Pandas, Scikit-Learn) and deep learning frameworks (PyTorch, TensorFlow) 💡 Proven track record delivering impactful AI/ML projects (e.g. forecasting More ❯

defining approaches to complex data challenges, guiding enterprise-scale AI applications, and mentoring a team of talented data scientists. What You’ll Bring 🔥 Deep expertise in machine learning and statistical modelling ⚙️ Skilled with core data science tools (NumPy, Pandas, Scikit-Learn) and deep learning frameworks (PyTorch, TensorFlow) 💡 Proven track record delivering impactful AI/ML projects (e.g. forecasting More ❯

defining approaches to complex data challenges, guiding enterprise-scale AI applications, and mentoring a team of talented data scientists. What You'll Bring Deep expertise in machine learning and statistical modelling ️ Skilled with core data science tools (NumPy, Pandas, Scikit-Learn) and deep learning frameworks (PyTorch, TensorFlow) Proven track record delivering impactful AI/ML projects (e.g. forecasting More ❯

defining approaches to complex data challenges, guiding enterprise-scale AI applications, and mentoring a team of talented data scientists. What You’ll Bring 🔥 Deep expertise in machine learning and statistical modelling ⚙️ Skilled with core data science tools (NumPy, Pandas, Scikit-Learn) and deep learning frameworks (PyTorch, TensorFlow) 💡 Proven track record delivering impactful AI/ML projects (e.g. forecasting More ❯

defining approaches to complex data challenges, guiding enterprise-scale AI applications, and mentoring a team of talented data scientists. What You’ll Bring 🔥 Deep expertise in machine learning and statistical modelling ⚙️ Skilled with core data science tools (NumPy, Pandas, Scikit-Learn) and deep learning frameworks (PyTorch, TensorFlow) 💡 Proven track record delivering impactful AI/ML projects (e.g. forecasting More ❯

defining approaches to complex data challenges, guiding enterprise-scale AI applications, and mentoring a team of talented data scientists. What You’ll Bring 🔥 Deep expertise in machine learning and statistical modelling ⚙️ Skilled with core data science tools (NumPy, Pandas, Scikit-Learn) and deep learning frameworks (PyTorch, TensorFlow) 💡 Proven track record delivering impactful AI/ML projects (e.g. forecasting More ❯

writing, client presentations, and proposal delivery. Skills and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present complex technical concepts clearly and confidently to non More ❯

writing, client presentations, and proposal delivery. Skills and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present complex technical concepts clearly and confidently to non More ❯

writing, client presentations, and proposal delivery. Skills and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present complex technical concepts clearly and confidently to non More ❯

writing, client presentations, and proposal delivery. Skills and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present complex technical concepts clearly and confidently to non More ❯

writing, client presentations, and proposal delivery. Skills and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present complex technical concepts clearly and confidently to non More ❯