101 to 125 of 285 Remote Statistical Modelling Jobs

skills cover a range of languages, including Java, C#, C++, Python and R. Day to day work will involve working with our teams of statistical researchers and product owners to create, maintain and optimise mostly R and C++ code that runs as part of our mathematical models. You'll … sport, as a company we're passionate about social responsibility, sustainability, and employee well-being. About us We are one of the largest commercial statistical research teams in Europe and a leader in the field of the application of statistical modelling in sports. We maintain statistical … A can-do attitude, passion for problem-solving and a knack for finding elegant solutions. Beneficial skills: C++, SQL, experience with understanding statistics and statistical models. Our Recruitment Process The recruitment process involves an initial video interview followed by a workshop-style part-day of interviews in-person at More ❯

and food & beverage industries, across the world. We build innovative solutions to support our clients to make better decisions combining various forecasting methods and statistical models, GIS and web tools to create bespoke solutions. We are always looking to do things better. We have fun and value every member … own. Your qualifications and experience You are a pro at using SQL for data manipulation (at least one of PostgreSQL, MSSQL, Google BigQuery, SparkSQL) Modelling & Statistical Analysis experience, ideally customer related Coding skills in at least one of Python, R, Scala, C, Java or JS Track record of More ❯

and food & beverage industries, across the world. We build innovative solutions to support our clients to make better decisions combining various forecasting methods and statistical models, GIS and web tools to create bespoke solutions. We are always looking to do things better. We have fun and value every member … own. Your qualifications and experience You are a pro at using SQL for data manipulation (at least one of PostgreSQL, MSSQL, Google BigQuery, SparkSQL) Modelling & Statistical Analysis experience, ideally customer related Coding skills in at least one of Python, R, Scala, C, Java or JS Track record of More ❯

and food & beverage industries, across the world. We build innovative solutions to support our clients to make better decisions combining various forecasting methods and statistical models, GIS and web tools to create bespoke solutions. We are always looking to do things better. We have fun and value every member … Your qualifications and experience You are a pro at using SQL for data manipulation (at least one of PostgreSQL, MSSQL, Google BigQuery, SparkSQL). Modelling & Statistical Analysis experience, ideally customer related. Coding skills in at least one of Python, R, Scala, C, Java or JS. Track record of More ❯

and food & beverage industries, across the world. We build innovative solutions to support our clients to make better decisions combining various forecasting methods and statistical models, GIS and web tools to create bespoke solutions. We are always looking to do things better. We have fun and value every member … Your qualifications and experience You are a pro at using SQL for data manipulation (at least one of PostgreSQL, MSSQL, Google BigQuery, SparkSQL). Modelling & Statistical Analysis experience, ideally customer related. Coding skills in at least one of Python, R, Scala, C, Java or JS. Track record of More ❯

practices for software/hardware optimization when processing large data sets and offers experience in the following required task areas: experience with machine learning, statistical modeling, time-series forecasting, and/or geospatial analytics; experience with Hadoop, Spark, or other parallel storage/computing processes is a plus. Experience More ❯

of AI, Data Science and Analytics, with a proven track record of successfully delivered work across the ML lifecycle and a strong foundation in statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies. Keen to demonstrate the potential that Gen AI has More ❯

skills cover a range of languages, including Java, C#, C++, Python, and R. Day-to-day work will involve working with our teams of statistical researchers and product owners to create, maintain, and optimise mainly R and C++ code that runs as part of our mathematical models. You will … sport, as a company we're passionate about social responsibility, sustainability, and employee well-being. About us We are one of the largest commercial statistical research teams in Europe and a leader in the field of the application of statistical modelling in sports. We maintain statistical More ❯

and working with operational datasets; quick to adapt to technical challenges. Proficient in Excel, Power Query, SQL, and Power BI; experience with Python and statistical modelling is advantageous. Skilled in learning new tools and technologies; familiarity with Azure Data Factory and building data pipelines is a plus. Confident More ❯

industry trends and emerging technologies Skills Needed 3+ years of experience in data science or related field Strong knowledge of machine learning algorithms and statistical modeling Experience with programming languages (Python, R, SQL) Strong understanding of data visualization tools (Tableau, Power BI) Experience with big data technologies (Hadoop, Spark More ❯

establishing robust governance frameworks, and embedding scalable AI and analytics solutions. Leading innovation in AI and analytics: Spearheading the development of generative AI solutions, statistical models, and data visualisations that deliver actionable insights across various industries. Delivering strategic advisory: Acting as a trusted advisor to C-level stakeholders, providing More ❯

years of proven experience delivering AI/ML models in production environments. Advanced knowledge of machine learning, deep learning (e.g., XGBoost, LSTMs, transformers), and statistical modeling. Proficient in Python and machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, etc. Hands-on experience with MLOps tools and practices: model More ❯

play a critical role in developing, enhancing, and maintaining market models that drive competitive positioning and profitability. This role requires a deep understanding of statistical modeling, machine learning, and market dynamics to build models that anticipate competitor pricing strategies and inform data-driven decision-making. As a Senior Data … enhance market models to improve competitive positioning. Analyze external market trends and competitor behaviours to build predictive models that inform pricing strategy. Apply advanced statistical and machine learning techniques, including generalized linear models (GLMs), gradient boosting, and deep learning, to extract insights from large, complex datasets. Work with data … performance and conduct regular validation to ensure accuracy, robustness, and compliance with regulatory requirements. Lead innovation initiatives, including testing new data sources and advanced modelling techniques. Mentor junior data scientists and analysts, fostering a culture of technical excellence and innovation. Key Skills & Experience Strong expertise in statistical modelling More ❯

play a critical role in developing, enhancing, and maintaining market models that drive competitive positioning and profitability. This role requires a deep understanding of statistical modeling, machine learning, and market dynamics to build models that anticipate competitor pricing strategies and inform data-driven decision-making. As a Senior Data … enhance market models to improve competitive positioning. Analyze external market trends and competitor behaviours to build predictive models that inform pricing strategy. Apply advanced statistical and machine learning techniques, including generalized linear models (GLMs), gradient boosting, and deep learning, to extract insights from large, complex datasets. Work with data … performance and conduct regular validation to ensure accuracy, robustness, and compliance with regulatory requirements. Lead innovation initiatives, including testing new data sources and advanced modelling techniques. Mentor junior data scientists and analysts, fostering a culture of technical excellence and innovation. Key Skills & Experience Strong expertise in statistical modelling More ❯

product. Conduct research into new techniques and algorithms to optimise performance and accuracy. Fine-tune domain-specific LLM models to meet business requirements. Run statistical analyses to assess model performance and extract meaningful insights. Build visualisations to communicate findings and facilitate wider understanding across the business and to our More ❯

Power BI, Tableau, or Qlik Sense. Ability to translate complex data into meaningful insights for business users. Preferred Qualifications: • Experience with predictive analytics and statistical modeling. • Familiarity with cloud-based data platforms (Snowflake, AWS, Azure). ADDITIONAL INFORMATION: Fortune Brands believes in fair and equitable pay. A reasonable estimate More ❯

continually looking to improve data and processes Working with different teams and stakeholders to achieve an understanding of their needs, data requirements and expected modelling outcomes Getting hands-on with data from its source right through to modelling and then implementation in rating Analysing data, interpreting output and … communicating results to a non-technical audience Building and testing Statistical models and machine learning algorithms Working with Data Enrichment team to obtain and use third-party and internally-generated data sources to enhance models Supporting the business in the deployment of its data solution Assisting in coaching and … t expect you to know everything from day one, but the following will enable you to hit the ground running: Solid knowledge of relevant statistical modelling methods - in particular GLMs Knowledge of relevant machine learning techniques - in particular GBMs Proven experience in working with large data sources Good More ❯

data from various sources to uncover trends and insights that inform key business strategies across finance, retail, and healthcare sectors. Support decision-making : Use statistical methods and predictive models to assist clients in making data-driven decisions that improve their performance and efficiency. Create data visualisations : Design and maintain … finance, retail, or healthcare, and familiarity with sector-specific data challenges. Exposure to advanced analytics : Knowledge of machine learning techniques, predictive modeling, or advanced statistical analysis. Problem-solving approach : A proactive, solution-oriented mindset, with the ability to think critically and creatively. The Benefits: Diverse projects : Gain experience working More ❯

data from various sources to uncover trends and insights that inform key business strategies across finance, retail, and healthcare sectors. Support decision-making : Use statistical methods and predictive models to assist clients in making data-driven decisions that improve their performance and efficiency. Create data visualisations : Design and maintain … finance, retail, or healthcare, and familiarity with sector-specific data challenges. Exposure to advanced analytics : Knowledge of machine learning techniques, predictive modeling, or advanced statistical analysis. Problem-solving approach : A proactive, solution-oriented mindset, with the ability to think critically and creatively. The Benefits: Diverse projects : Gain experience working More ❯

teams to enhance CRM strategies and generate actionable customer profiles to improve engagement and loyalty. Requirements 1-2 years of experience in data analysis, statistical modeling, and machine learning. Proficiency with Python, and preferably Dataiku or similar platforms; with strong skills in R, or SQL. Excellent communication skills, able More ❯

teams to enhance CRM strategies and generate actionable customer profiles to improve engagement and loyalty. Requirements 1-2 years of experience in data analysis, statistical modeling, and machine learning. Proficiency with Python, and preferably Dataiku or similar platforms; with strong skills in R, or SQL. Excellent communication skills, able More ❯

development, testing, deployment, and vigilant monitoring. Experience creating and delivering Cloud ML solutions at scale using Docker and Kubernetes. A deep understanding of advanced statistical modeling and analysis. Expertise in Python and the tools and libraries that make ML magic happen. Familiarity with ML experiment tracking and collaboration tools More ❯

development, testing, deployment, and vigilant monitoring. Experience creating and delivering Cloud ML solutions at scale using Docker and Kubernetes. A deep understanding of advanced statistical modeling and analysis. Expertise in Python and the tools and libraries that make ML magic happen. Familiarity with ML experiment tracking and collaboration tools More ❯

cloud-based data science environments. Other: Ability to integrate ML workflows into large-scale data pipelines. Strong experience in data preprocessing, feature selection, and statistical modelling. Experience communicating complex findings to both technical and non-technical stakeholders. If you are interested and looking for your next role, please apply More ❯

cloud-based data science environments. Other: Ability to integrate ML workflows into large-scale data pipelines. Strong experience in data preprocessing, feature selection, and statistical modelling. Experience communicating complex findings to both technical and non-technical stakeholders. If you are interested and looking for your next role, please apply More ❯