1 to 25 of 138 Statistical Modelling Jobs

present complex data in a clear and understandable manner. Develop automated reporting systems to streamline data delivery processes. 3- Forecasting and Predictive Modeling: Utilize statistical techniques and predictive modeling to forecast sales, demand, and other key business metrics. Collaborate with the sales and marketing teams to develop predictive models more »

for a Data Scientist to join their Product team – you will be working on the latest AI and ML techniques as well as traditional statistical modelling to create best in class products that will give them and their clients a competitive edge. You will be working as part more »

to hire multiple Data Scientists to join them in their offices in Guildford. They're looking for people that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role … You're more than capable with SQL & Python You have exposure to big data technologies such as Spark Ideally you will have experience with statistical analysis, machine learning algorithms, and data mining techniques You have excellent communication skills and can communicate well with both technical and non-technical stakeholders more »

cell RNA-seq data, spatial transcriptomics data, bulk RNA-seq data to evaluate effects of gene perturbation on cell models Involvement in experimental design & modelling of deep phenotyping or omics data in close collaboration with wet-lab scientists. Work as a member of cross-functional teams bringing together best … in-class Drug Discovery, Drug Development, Product & Project Management capabilities. Routinely use Python/R for data analyses, in particular data wrangling, modelling, and visualisation. Develop solutions to increase automation, reliability and scalability of our data processing pipelines and workflows. Lead, co-develop, and run pipelines in a cloud … for instance lncRNAs) Experience in building and deploying pipelines (e.g. Nextflow) for data science Skills & Competencies Required Deep understanding of human biology beyond the statistical/ML models being developed Good knowledge with rapidly prototyping, writing and maintaining Python and/or R code, harnessing statistical tools for more »

for a broad range of business objectives, such as asset pricing, demand forecasting, sentiment analysis, and other machine-learning techniques for pattern recognition and statistical modeling. You may also participate in due diligence analyses of future investments, or evaluate 3rd party solutions and cloud-based tools for client adoption. … development of both back-end data pipelines and front-end applications Generate analytical reports to track adherence of client processes to business strategy Apply statistical methods to predict future client business outcomes Participate in due diligence of investment proposals as a Technology expert Evaluate 3rd party solutions for functionality more »

DATA SCIENTIST- LOGISTICS £50,000 - 60,000 BARNSLEY Work a crucial role within a customer focussed team, using predictive modelling and statistical analysis to provide insights that can affect this high growth retailer across their logistics! THE COMPANY A UK renowned retailer within fashion going through a HUGE … SKILLS The successful candidate will have the following skills and experience: Strong SQL and Python with previous experience in data extraction, data manipulation and statistical analysis and model deployment Expert using visualisation tools such as PowerBI or Tableau to provide insights in an aesthetic visual deck Great communicator and … your interest by sending your CV to Gerard Matthews via the apply link on this page. Data Analyst, Data Analytics, SAS, Python, R, Data Modelling, Google Analytics, Adobe Analytics, Coremetrics, GA, AA, Clustering, Propensity Modelling, Segmentation, CRM, CRM Analytics, Marketing Analyst, Insight Analyst, Growth Analyst, Customer Analytics Desired more »

support their trading strategies. Design, develop, and maintain robust and efficient software infrastructure, including data processing, analysis, and trading systems. Implement complex mathematical and statistical models into production-ready software. Optimize trading algorithms and strategies for execution speed and efficiency. Conduct thorough testing and debugging of software systems to … Java. Solid understanding of data structures, algorithms, and software design principles. Experience in developing quantitative trading systems or financial models. Proficiency in numerical and statistical libraries such as NumPy, SciPy, or pandas. Familiarity with database technologies and SQL. Knowledge of financial markets, trading instruments, and order execution. Excellent problem more »

clients. Proven track record of driving business results through data-driven decision-making and advanced analytics. Deep technical expertise in data mining, machine learning, statistical modeling, and other relevant areas. Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. If you are more »

Generalized Linear Models (Linear regression, ANOVA, ANCOVA, Logistic regression and other relevant models such as experimental design) and Mixed Effects Models Strong knowledge of statistical modelling techniques Knowledge of quantitative analytics, testing models, technical documentation 2 years experience working at a sell side firm Strong coding skills in … python. Responsibilities: Perform financial, liquidity, cost and performance modelling Conduct in depth quant research around market microstructure Optimise the team's algo execution and trading efficiency Talking to clients and external partners on a regular basis more »

Are you passionate about harnessing the power of AI to revolutionise energy management systems? Look no further! We are seeking a talented AI Data Modelling Developer with expertise in Python and a keen understanding of energy power systems. As part of our dynamic team, you'll have the opportunity … implement scalable and efficient solutions for data analysis and predictive modelling. Collaborate with cross-functional teams to integrate AI solutions into existing infrastructure. Conduct statistical modelling to identify energy trends, support energy planning and forecast utility consumption and budgets. Conduct research and stay updated on advancements in AI … and energy technology. Requirements: Proficiency in Python programming and experience with other relevant libraries and software. Strong understanding of data modelling, machine learning techniques, and statistical analysis. Knowledge of energy power systems, including renewable energy sources and grid optimisation. Excellent problem-solving skills and ability to work in more »

Advanced degree preferred but not required. knowledge of statistics, machine learning, forecasting, NLP, computer vision, optimisation. Python programmer with experience building data pipelines and statistical/machine learning models. Additional languages preferred, particularly HTML+CSS+JavaScript, or low-level compiled languages such as C/C++. in SQL. Ability to write more »

mission is to transform data into actionable insights that drive strategic decisions and innovation across various industries. **Role and Responsibilities:** - Develop and implement advanced statistical models and machine learning algorithms. - Analyse large datasets to identify trends, patterns, and correlations. - Collaborate with cross-functional teams to understand business objectives and … or mathematical discipline (e.g., Computer Science, Mathematics, Physics, Statistics, Engineering). - Proficiency in programming languages such as Python, R, or Java. - Strong background in statistical analysis and machine learning techniques. - Experience with data visualisation tools (e.g., Tableau, Power BI) is a plus. - Excellent problem-solving skills and ability to more »

code optimality test and a culture fit round. As part of our team, you'll embark on thrilling responsibilities including:- Utilizing advanced mathematical and statistical techniques to model and forecast Bitcoin market movements. Analyzing extensive financial datasets to identify lucrative trading opportunities. Exploring academic journals and financial literature to more »

in their ability to create new strategies both independently and with team collaboration  A strong background in mathematics and statistics, with good knowledge of statistical models and signal generation  Proficiency in back-testing, simulation, and statistical techniques  Data-mining skills paired up with data analysis skills. Previous experience more »

Global Product team. About the Project/Role The key area of focus for the role is the development and improvement of mathematical and statistical models demonstrating different data sets both at panel level and at census level. These will include Kantar’s internally owned data and data from … frequency estimates for highly granular and accurate viewing insight, without the limitations of panel sizes. Job Role Requirements Design and refine machine learning and statistical models to improve their performance and adaptability. Develop prototypes of statistical and machine learning models in Python, ensuring they integrate seamlessly into existing … deploying models into production environments efficiently. Conduct thorough data investigations to ensure the quality and completeness of datasets and oversee quality control measures for modelling outcomes. Actively engage in team knowledge-sharing sessions and deliver presentations to discuss findings, insights, and methodologies across the team and broader organisation. Role more »

to data enabled market insights and contribute to our future growth of the UK business, gaining hands-on experience in data analysis, machine learning, statistical modelling, and data visualization. This apprenticeship offers a unique opportunity to combine academic learning with practical work experience, preparing you for a rewarding … Merit Strong analytical skills with a passion for working with data. Basic knowledge of programming languages such as Python, R, or SQL. Familiarity with statistical concepts and techniques. Excellent communication and interpersonal skills. Ability to work independently and collaboratively in a fast-paced environment. Eagerness to learn and adapt more »

from conceptualization to deployment and monitoring. Proficiency in Cloud ML solutions, with hands-on experience in Docker and Kubernetes . A deep understanding of statistical modeling and analysis . Expertise in Python , along with familiarity with essential ML tools and libraries. Experience with ML experiment tracking and collaboration tools … flow, Kedro, etc. Proficiency in pipeline orchestration with tools like Airflow, Kubeflow, and Argo . Exceptional communication skills, with the ability to articulate complex statistical concepts clearly. Personal Competencies: A results-oriented professional with a fervent passion for innovation and a self-motivated, proactive approach. Exceptional organizational skills, fluent more »

LEAD DATA SCIENTIST £60,000 – 75,000 LEICESTER Work a crucial role within a customer focussed team, using predictive modelling and statistical analysis to provide insights that can affect this high growth retailer! THE COMPANY A UK renowned retailer within fashion going through a HUGE digital transformation and … successful candidate will have the following skills and experience: Strong SQL/R/Python with previous experience in data extraction, data manipulation and statistical analysis and model deployment Expert using visualisation tools such as PowerBI or Tableau to provide insights in an aesthetic visual deck Great communicator and … your interest by sending your CV to Gerard Matthews via the apply link on this page. Data Analyst, Data Analytics, SAS, Python, R, Data Modelling, Google Analytics, Adobe Analytics, Coremetrics, GA, AA, Clustering, Propensity Modelling, Segmentation, CRM, CRM Analytics, Marketing Analyst, Insight Analyst, Growth Analyst, Customer Analytics more »

into execution quality. Responsibilities: Design, develop, and maintain TCA analytics and tools to assess and optimize trade execution performance across various asset classes. Implement statistical models and algorithms to analyze transaction costs, market impact, and liquidity dynamics. Collaborate with traders and quantitative researchers to identify areas for improvement in more »

code optimality test and a culture fit round. As part of our team, you'll embark on thrilling responsibilities including:- Utilizing advanced mathematical and statistical techniques to model and forecast Bitcoin market movements. Analyzing extensive financial datasets to identify lucrative trading opportunities. Exploring academic journals and financial literature to more »

DATA SCIENTIST- LOGISTICS £50,000 - 60,000 SHEFFIELD Work a crucial role within a customer focussed team, using predictive modelling and statistical analysis to provide insights that can affect this high growth retailer across their logistics! THE COMPANY A UK renowned retailer within fashion going through a HUGE … SKILLS The successful candidate will have the following skills and experience: Strong SQL and Python with previous experience in data extraction, data manipulation and statistical analysis and model deployment Expert using visualisation tools such as PowerBI or Tableau to provide insights in an aesthetic visual deck Great communicator and … your interest by sending your CV to Gerard Matthews via the apply link on this page. Data Analyst, Data Analytics, SAS, Python, R, Data Modelling, Google Analytics, Adobe Analytics, Coremetrics, GA, AA, Clustering, Propensity Modelling, Segmentation, CRM, CRM Analytics, Marketing Analyst, Insight Analyst, Growth Analyst, Customer Analytics Desired more »

anomalies, and opportunities in financial markets. Optimize and enhance existing trading algorithms to improve performance, execution speed, and risk management. Utilize advanced mathematical and statistical techniques to analyze market data, build predictive models, and generate insights. Stay abreast of industry trends, academic research, and emerging technologies in quantitative finance … in languages such as Python, C++, Java, or R, with a strong emphasis on object-oriented programming and algorithm development. Proficiency in quantitative analysis, statistical modeling, time series analysis, and data visualization. Experience with quantitative libraries and frameworks such as NumPy, SciPy, pandas, TensorFlow, or PyTorch. Familiarity with financial more »

Job Summary Applies advanced data analysis tools and techniques to provide insights and actionable recommendations for the business. Utilizes complex statistical modeling to make predictions about future outcomes and in multiple scenarios. May explain findings to business audience. Job Responsibilities Responsible for applying advanced data analysis tools and techniques … to provide insights and actionable recommendations for the business. Utilizes complex statistical modeling to make predictions about future outcomes and in multiple scenarios. Interprets and applies data in complex analyses, and explains findings to business audiences to improve products and processes. May support or lead the development of data … related commercial offerings and/or other intellectual property (IP) Executes statistical and mathematical analyses to support business decision making. Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes. Applies analytical rigor and more »

looking for: Experience in a General Insurance background with deep knowledge of Reserving, Solvency II and IFRS 17 An advanced understanding of mathematical and statistical modelling tools Experience managing stakeholders at all levels, and communicating in a governed environment. You'll also collaborate effectively, and be able to more »

looking for: Experience in a General Insurance background with deep knowledge of Reserving, Solvency II and IFRS 17 An advanced understanding of mathematical and statistical modelling tools Experience managing stakeholders at all levels, and communicating in a governed environment. You'll also collaborate effectively, and be able to more »