76 to 100 of 733 Statistical Modelling Jobs in the UK

out more about us by visiting our website at: http://www.hartreepartners.com/ROLE OVERVIEW: Hartree Partners is growing its data-driven analytics team and is hiring a Statistical Data Scientist to sharpen our view of weather-driven risk and support wider supply-and-demand modelling for power & gas trading. You will play a pivotal role in … shaping our data strategy and driving the development of our modelling approaches. You will collaborate with cross-functional teams to design, implement, and optimize data pipelines and predictive models that inform trading decisions and enhance operational efficiency. RESPONSIBILITIES: Primary Focus: Probabilistic Weather Modelling: Research and prototype probabilistic methods (Bayesian inference, state-space filtering, change-detection tests, etc.) that … based on real-time data and feedback from trading activities. Model Communication: Explain uncertainty clearly, turning numbers into concise narratives and action-oriented alerts Broader Contributions: Build and refine statistical/ML models for short- to medium-term demand, renewables output, and other fundamental time series. Help design feature pipelines, scenario tools and model-performance dashboards used daily by More ❯

out more about us by visiting our website at: http://www.hartreepartners.com/ROLE OVERVIEW: Hartree Partners is growing its data-driven analytics team and is hiring a Statistical Data Scientist to sharpen our view of weather-driven risk and support wider supply-and-demand modelling for power & gas trading. You will play a pivotal role in … shaping our data strategy and driving the development of our modelling approaches. You will collaborate with cross-functional teams to design, implement, and optimize data pipelines and predictive models that inform trading decisions and enhance operational efficiency. RESPONSIBILITIES: Primary Focus: Probabilistic Weather Modelling: Research and prototype probabilistic methods (Bayesian inference, state-space filtering, change-detection tests, etc.) that … based on real-time data and feedback from trading activities. Model Communication: Explain uncertainty clearly, turning numbers into concise narratives and action-oriented alerts Broader Contributions: Build and refine statistical/ML models for short- to medium-term demand, renewables output, and other fundamental time series. Help design feature pipelines, scenario tools and model-performance dashboards used daily by More ❯

out more about us by visiting our website at: http://www.hartreepartners.com/ROLE OVERVIEW: Hartree Partners is growing its data-driven analytics team and is hiring a Statistical Data Scientist to sharpen our view of weather-driven risk and support wider supply-and-demand modelling for power & gas trading. You will play a pivotal role in … shaping our data strategy and driving the development of our modelling approaches. You will collaborate with cross-functional teams to design, implement, and optimize data pipelines and predictive models that inform trading decisions and enhance operational efficiency. RESPONSIBILITIES: Primary Focus: Probabilistic Weather Modelling: Research and prototype probabilistic methods (Bayesian inference, state-space filtering, change-detection tests, etc.) that … based on real-time data and feedback from trading activities. Model Communication: Explain uncertainty clearly, turning numbers into concise narratives and action-oriented alerts Broader Contributions: Build and refine statistical/ML models for short- to medium-term demand, renewables output, and other fundamental time series. Help design feature pipelines, scenario tools and model-performance dashboards used daily by More ❯

What will you be doing day-to-day? Use sophisticated statistical and machine learning techniques to identify new trends and relationships in data. Harvest, wrangle and prototype new data sources internally and external to NewDay to create new value for NewDay and our customers. Provide quality and detailed data science outputs, sharing and following up with as much detail … procedures and standards. Your Skills and Experience ESSENTIAL At least a BSc or higher university degree in a data science related field (e.g. machine learning, statistics, mathematics) Proficiency in statistical data modelling techniques. Proficiency with Python, including experience with statistics/machine learning packages such as scikit-learn, pandas, numpy, etc. Good SQL/data manipulation skills required … Honest and hardworking with a will to learn as well as develop others. Strong sense of accountability and ownership, with great organizational, planning and time management skills. Passionate about modelling and techniques to drive value from data. Personable with excellent interpersonal & written communication skills. Ability to build strong and effective working relationships with people across all levels of the More ❯

many financial centers around the world. Find out more about us by visiting our website at: Hartree Partners is growing its data-driven analytics team and is hiring a Statistical Data Scientist to sharpen our view of weather-driven risk and support wider supply-and-demand modelling for power & gas trading. You will play a pivotal role in … shaping our data strategy and driving the development of our modelling approaches. You will collaborate with cross-functional teams to design, implement, and optimize data pipelines and predictive models that inform trading decisions and enhance operational efficiency. Research and prototype probabilistic methods (Bayesian inference, state-space filtering, change-detection tests, etc.) that flag when fresh weather guidance materially diverges … with historical data and measure their value to trading & risk learning models. Continuously improve these models based on real-time data and feedback from trading activities. Build and refine statistical/ML models for short- to medium-term demand, renewables output, and other fundamental time series. Help design feature pipelines, scenario tools and model-performance dashboards used daily by More ❯

heart of our decisions Future Focused - we accelerate change Curious - we turn knowledge into action Role Purpose The Data Analyst will play a key role in advancing forecasting and modelling efforts by managing, analysing, and optimising large datasets across renewable, conventional, and storage assets globally. Working on asset revenue forecasting, power dispatch modelling, or power markets data, the … enhancing the company's global asset performance and revenue strategies. Responsibilities Knowledge Structures poorly defined problems, gathers feedback, and solves them effectively. Defines hypotheses and appropriate analysis approaches. Ensures statistical validity of results while avoiding common pitfalls. Develops deep technical expertise and emerging domain knowledge in forecasting or dispatch modelling. Provides specialist skills in data analysis, visualisation, and data … evolving their skills. Impact Performs defined and repeatable tasks with limited guidance. Independently formulates new analyses and project components. Carries out independent analysis on specific areas of forecasting or modelling projects. Delivers high-quality outputs on time, recognised for accuracy and reliability. Demonstrates strong proficiency in SQL or Python for data handling. Supports data governance and quality assurance activities. More ❯

Ago time left to apply End Date: June 27, 2025 (7 days left to apply) job requisition id JR0024 What will you be doing day-to-day? Use sophisticated statistical and machine learning techniques to identify new trends and relationships in data. Harvest, wrangle and prototype new data sources internally and external to NewDay to create new value for … procedures and standards. Your Skills and Experience ESSENTIAL At least a BSc or higher university degree in a data science related field (e.g. machine learning, statistics, mathematics) Proficiency in statistical data modelling techniques. Proficiency with Python, including experience with statistics/machine learning packages such as scikit-learn, pandas, numpy, etc. Good SQL/data manipulation skills required … Honest and hardworking with a will to learn as well as develop others. Strong sense of accountability and ownership, with great organizational, planning and time management skills. Passionate about modelling and techniques to drive value from data. Personable with excellent interpersonal & written communication skills. Ability to build strong and effective working relationships with people across all levels of the More ❯

engineers to define data requirements and ensure data quality and integrity. Programming & Tool Development Develop and maintain Python or Julia-based tools and scripts for data processing, visualization, and statistical analysis. Automate data workflows and contribute to the continuous improvement of the team’s analytical capabilities. Support the integration of analytical outputs into model development pipelines. Collaboration & Communication Work … and methodologies to enhance analytical effectiveness. Skills and Competencies Technical Skills Required Proficiency in programming with Python or Julia, with experience in developing tools for data analysis, visualization, and statistical modeling. Strong SQL skills for querying and managing large datasets. Knowledge of data visualization techniques and tools (e.g., Matplotlib, Seaborn, or equivalent in Python/Julia). Strong data … analytical skills, including handling outliers, managing missing data, and performing basic statistical modeling. Desired Familiarity with Machine Learning or Statistical Learning methods for predictive modeling. Experience in designing and building dashboards for visualizing analytical outputs. Experience with MS Excel for data exploration or light analysis. Experience with Tableau or Power BI for dashboard creation and reporting. Soft Skills More ❯

and e-commerce leaders to offer flexible, branded financing to their merchant bases through a cutting-edge software. The Role Perform in-depth portfolio-level credit risk analysis using statistical methods and data modelling Monitor and evaluate customer segment performance to identify risk trends and opportunities Contribute to the design and enhancement of credit risk policies, pricing models … visualisation and presenting technical results to non-technical stakeholders Excellent attention to detail and analytical problem-solving Experience in SME lending environments Familiarity with Python for data manipulation and modelling Salary & Benefits Base salary between £60,000 and £80,000 Annual bonus up to 15% Stock options Private medical insurance (Vitality) Enhanced maternity and paternity leave Employee Assistance Programme More ❯

a weekly basis; communication skills are paramount for this role. You need not be an expert in every flavour of predictive analytics but must be able to demonstrate the statistical knowledge necessary to explain and implement common models/algorithms. The data science team works primarily by writing code, so yours should be good enough to lift our overall … wider Data Solutions team. Developing algorithms, and then maintaining, implementing, monitoring and versioning them on the appropriate platforms. With the data engineering team, optimally prepare data for analysis, including modelling, transforming, manipulating, cleansing and managing. Working collaboratively with the BI analysts and data engineers, you will integrate the data into the data exploration and analysis tools used within the … company, manipulating and transforming the data as required. Looking out for new technology, techniques and tools that will enable us to develop statistical models and machine learning algorithms more quickly and efficiently and sharing this internally and externally where appropriate. Troubleshooting when data issues arise, as the Data Solutions team provides business-critical information to our clients and internal More ❯

a weekly basis; communication skills are paramount for this role. You need not be an expert in every flavour of predictive analytics but must be able to demonstrate the statistical knowledge necessary to explain and implement common models/algorithms. The data science team works primarily by writing code, so yours should be good enough to lift our overall … wider Data Solutions team. Developing algorithms, and then maintaining, implementing, monitoring and versioning them on the appropriate platforms. With the data engineering team, optimally prepare data for analysis, including modelling, transforming, manipulating, cleansing and managing. Working collaboratively with the BI analysts and data engineers, you will integrate the data into the data exploration and analysis tools used within the … company, manipulating and transforming the data as required. Looking out for new technology, techniques and tools that will enable us to develop statistical models and machine learning algorithms more quickly and efficiently and sharing this internally and externally where appropriate. Troubleshooting when data issues arise, as the Data Solutions team provides business-critical information to our clients and internal More ❯

and drive improvements in pension provision. You will work closely with business owners to identify opportunities to drive value from data and lead the development of advanced analytics & predictive modelling algorithms. You will be comfortable working independently and as part of small teams in dynamic projects across Just to develop predictive models, identify health and mortality trends, and implement … new technologies Good understanding of Microsoft Server technologies (Azure, T-SQL, SSIS, SSRS, Power BI) Experience Strong experience of working as a Data Scientist or equivalent role, in applying statistical models and machine learning algorithms Experience and ability to respond to business needs by identifying appropriate statistical methodologies and presenting insight for decision making Attention to detail & problem More ❯

of a global shift by doing work that matters. Job Description Role Overview The Lead Data Scientist is responsible for developing and deploying advanced AI/ML models, leveraging statistical techniques, machine learning, and deep learning to extract actionable insights. This role requires strong expertise in Python-based AI/ML development, big data processing, and cloud-based AI … Exploration & Feature Engineering Perform thorough Exploratory Data Analysis (EDA) and identify key variables, patterns, and anomalies. Engineer and select features for optimal model performance, leveraging domain understanding. Machine Learning & Statistical Modelling Implement both classical ML methods (regression, clustering, time-series forecasting) and advanced algorithms (XGBoost, LightGBM). Address computer vision, NLP, and generative tasks using PyTorch, TensorFlow, or More ❯

cross-functional teams to design data-driven customer propositions and optimize the customer journey. Develop visualizations to communicate findings to stakeholders and monitor product performance to drive efficiencies. Conduct statistical analyses and A/B testing to evaluate the impact of new initiatives. Ensure data privacy, security, and compliance with UK regulations. Utilize advanced SQL and Python skills to … extract, clean, and analyse complex datasets, solving challenging problems with statistical and analytical approaches. Own data-driven projects from defining opportunities and challenges to setting objectives, methodologies, and presenting recommendations. Design and implement advanced predictive models and machine learning algorithms to predict customer contact, identify debt risk, and forecast consumption. This Role Will Be a Great Fit If Strong … energy industry experience (retail or wholesale) with deep knowledge of market dynamics, regulatory frameworks, and pricing structures. Proven track record in data science and advanced analytics, with experience in statistical modelling, forecasting, and optimization. Strong proficiency in Python, SQL, and cloud-based data platforms (mainly Google Cloud and AWS). Experience with machine learning frameworks (e.g., TensorFlow, Scikit More ❯

of the UK's fastest-growing retailers. You'll work at the heart of our Data & Analytics team, collaborating cross-functionally and mentoring others while driving innovation through experimentation, modelling, and automated decisioning. If you thrive in a fast-paced, insight-led environment and want your work to drive real change, we'd love to hear from you. At … how we target and segment consumers for targeted offers and promotions - Interrogate large volumes of data from a range of sources (online, customer verbatims, transactional etc) to use for modelling - Build predictive models to support business decision making - Build prescriptive tools (automated decisioning) with measurable commercial value - especially improving our marketing ROI - Lead the proactive and reactive support for … their analytical skills Qualifications - Experience in customer data/analytics, ideally within the retail industry. - Strong predictive analytics background, preferably in customer marketing - Strong expertise in data analysis and statistical modelling. Experience of data science and machine learning techniques. - Significant experience and strength in data visualisation and storytelling - able to communicate complexity in a straightforward and visually engaging manner More ❯

and initial insights that will guide the creation of hypotheses. In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilising statistical and mathematical modelling techniques, you'll have the opportunity to create models that defy convention – models that hold the key to solving intricate business challenges. With an acute … a related field Passionate about extracting insights from data to solve real-world problems Experience in programming languages Comfortable working with data visualisation tools (e.g. Seaborn, Tableau) Knowledgeable in statistical analysis, machine learning concepts, and data wrangling techniques Curious, analytical, and detail-oriented with a strong problem-solving mindset A strong communicator who can explain technical findings to both More ❯

similar analytics role (gaming, betting, or consumer apps is a big plus) Strong skills in SQL, Python or R, and data visualisation tools (e.g., Tableau, Power BI) Experience with statistical analysis, predictive modelling, and segmentation techniques Understanding of user behaviour analytics, retention metrics, and A/B testing Bonus: Experience with fraud detection or risk analytics Strong attention More ❯

e.g. mathematics, statistics, computer science, engineering, or physics), completed within the last two years Strong programming skills in Python or a similar language Experience with machine learning, NLP, or statistical modelling A genuine interest in applying academic research to real-world problems Experience peer reviewing papers, journals etc. Excellent communication and collaboration skills Exposure to financial data or More ❯

answer business questions Experience communicating advanced data science concepts to both technical and non-technical audiences to facilitate feasibility assessment, prioritisation and adoption. Have scientific mindset and understanding of statistical modelling and the mathematical foundations of Machine Learning algorithms Proficient in Python Have a deep knowledge of a sufficiently broad area of technical specialism (e.g. Time Series, Combinatorial More ❯

ethos and ensure we stay true to our Customers, Owners and Colleagues alike. Essential Experience: Extensive experience designing, developing and deploying machine learning and AI solutions in production environments Statistical modelling, machine learning (e.g. logistic regression, random forest, XGBoost, and modern deep learning techniques (e.g. transformers, transfer learning, reinforcement learning) Proven ability to lead technical direction across projects More ❯

grade pricing and risk models effectively, safely, and consistently. What you'll do Explore & analyse large telematics, policy and quote datasets to uncover trends and opportunities Build and validate statistical & machine learning models that power pricing and risk selection Collaborate with Engineering, Actuarial and Product to frame business problems and productionise models Communicate insights clearly through dashboards, visualisations and … the ability to present complex ideas simply Right to work in the UK Nice to have (but not essential) Internship or course project involving real‐world data analysis or modelling Familiarity with cloud platforms (e.g. AWS) and version control (git) Experience with BI/visualisation tools (e.g. Looker) What's it like to work at Zego? Joining Zego is More ❯

Strategy to implement the Data Analytics/AI and Technology strategy for the Agency Network. Lead advanced research and experimentation in AI, including Machine Learning and Generative AI, and statistical modelling Develop and implement complex data science solutions, ensuring they deliver measurable business improvements. This will include the development of AI solutions for the analysis of Agency intelligence More ❯

innovation that is part of the company's DNA. Amazon Seller Services is looking for a Data Scientist to work hands on from concept to delivery on generative AI, statistical analysis, prescriptive and predictive analysis, and machine learning implementation projects. We are looking for a problem solver with strong analytical skills and a solid understanding of statistics & machine learning … practical understanding of collecting, assembling, cleaning and setting up disparate data from enterprise systems. Key Responsibilities: Ability to understand a business problem and the available data and identify what statistical or ML techniques can be applied to answer a business question. Estimate solution feasibility and potential approaches based on available data. Understand what data is available, where, and how … it together. Work with partner teams where needed to facilitate permissions and acquisition of required data. Quickly prototype solutions and build models to test feasibility of solution approach. Build statistical models/ML models, train and test them to drive towards the optimal level of model performance. Improve existing processes with the development and implementation of state-of-the More ❯

into specific plans for engineering teams. Design and execute machine learning projects/products end-to-end: from ideation, analysis, prototyping, development, metrics, and monitoring. Drive end-to-end statistical analysis that have a high degree of ambiguity, scale, and complexity. Research and develop advanced Generative AI based solutions to solve diverse customer problems. BASIC QUALIFICATIONS - 2+ years of … data scientist experience - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - Experience applying theoretical models in an applied environment - Experience applying various machine … cause and effect relationships. Have a history of building systems that capture and utilize large data sets in order to quantify performance via metrics or KPIs. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. PREFERRED QUALIFICATIONS - Experience in Python, Perl, or another scripting language - Experience in a ML More ❯

into specific plans for engineering teams. Design and execute machine learning projects/products end-to-end: from ideation, analysis, prototyping, development, metrics, and monitoring. Drive end-to-end statistical analysis that have a high degree of ambiguity, scale, and complexity. Research and develop advanced Generative AI based solutions to solve diverse customer problems. BASIC QUALIFICATIONS - 2+ years of … data scientist experience - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - Experience applying theoretical models in an applied environment - Experience applying various machine … cause and effect relationships. · Have a history of building systems that capture and utilize large data sets in order to quantify performance via metrics or KPIs. · Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. PREFERRED QUALIFICATIONS - Experience in Python, Perl, or another scripting language - Experience in a ML More ❯