16 to 40 of 155 Statistical Modelling Jobs

passion for connecting your work directly to the customer experience, making a real and tangible impact Logical thinking and problem solving Strong communication skills Statistical Modelling and experience of applying data science into client problems . What you can expect from us We won’t just meet your more »

proven track record of successfully shipping applied research to productionExcellent problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms, especially at scaleStrong people leadership skills to influence others, with the ability to understand team dynamics more »

Desirable Bachelor’s degree in Mathematics, Computer Science, Computer Engineering, Statistics, or relevant field DP-100, DP-203, DA-100, AZ305 Machine Learning and statistical modelling experience Comprehensive knowledge of the Visual Studio development/SQL Management Studio environments What we offer Competitive salary Great learning and development more »

their potential impact on the organization's data strategy.Minimum Qualifications:Previous experience in a Data Science or Machine Learning based role.Expertise in machine learning, statistical modeling, and sophisticated analytics techniques, with experience in areas such as regression, classification, clustering, time series analysis.Relevant work experience with natural language processing projects more »

Accustomed to managing multiple teams on different projects. Experience managing complex data portfolios, projects, budgets and schedules to successful completion. Ability with building custom statistical models, analyzing unstructured data, and/or machine learning is highly desirable. Strong knowledge with advanced forecasting & planning technologies Strong knowledge of planning technologies more »

Accustomed to managing multiple teams on different projects. Experience managing complex data portfolios, projects, budgets and schedules to successful completion. Ability with building custom statistical models, analyzing unstructured data, and/or machine learning is highly desirable. Strong knowledge with advanced forecasting & planning technologies Strong knowledge of planning technologies more »

Accustomed to managing multiple teams on different projects. Experience managing complex data portfolios, projects, budgets and schedules to successful completion. Ability with building custom statistical models, analyzing unstructured data, and/or machine learning is highly desirable. Strong knowledge with advanced forecasting & planning technologies Strong knowledge of planning technologies more »

Accustomed to managing multiple teams on different projects. Experience managing complex data portfolios, projects, budgets and schedules to successful completion. Ability with building custom statistical models, analyzing unstructured data, and/or machine learning is highly desirable. Strong knowledge with advanced forecasting & planning technologies Strong knowledge of planning technologies more »

Accustomed to managing multiple teams on different projects. Experience managing complex data portfolios, projects, budgets and schedules to successful completion. Ability with building custom statistical models, analyzing unstructured data, and/or machine learning is highly desirable. Strong knowledge with advanced forecasting & planning technologies Strong knowledge of planning technologies more »

Accustomed to managing multiple teams on different projects. Experience managing complex data portfolios, projects, budgets and schedules to successful completion. Ability with building custom statistical models, analyzing unstructured data, and/or machine learning is highly desirable. Strong knowledge with advanced forecasting & planning technologies Strong knowledge of planning technologies more »

Accustomed to managing multiple teams on different projects. Experience managing complex data portfolios, projects, budgets and schedules to successful completion. Ability with building custom statistical models, analyzing unstructured data, and/or machine learning is highly desirable. Strong knowledge with advanced forecasting & planning technologies Strong knowledge of planning technologies 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 »

Data Science, Computer Science, Statistics or a related field Proven experience as a Data Scientist or similar role Strong knowledge of machine learning algorithms, statistical modelling, and data mining techniques. Proficiency in programming languages such as Python, R or Scala and familiarity with data science toolkits. Experience with more »

Senior Data Scientist(5+ years experience) Experience with Python, SQL, Azure & Power BI. A proven track record of applying machine learning methods and applying statistical modelling. Experience leading or mentoring junior team members. MSc/PhD in Data Science, Computer Science, Statistics or related fields. If you meet the more »

Senior Data Scientist (5+ years experience) Experience with Python, SQL, Azure & Power BI. A proven track record of applying machine learning methods and applying statistical modelling. Experience leading or mentoring junior team members. MSc/PhD in Data Science, Computer Science, Statistics or related fields. If you meet the 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 »

with equivalent professional experience in a field with relevance to health data science/Epidemiology Experience in natural language processing and AI Expertise building statistical models, use of machine learning using Python libraries, and MLOps tools Experience mining and analysing electronic health records (EHR) and knowledge of clinical terminologies more »

Have programming experience (essential) with one or more of R, Python, or SQL and proven ability to manipulate and prepare data for analytics and statistical modelling Able to communicate complex technical concepts to specialist/non-specialist audiences and demonstrate impact from data science and analytics work Is … passionate about using customer data & statistical/technical expertise with proven experience to help businesses understand customer behaviour and take action. A positive, can-do attitude and a proactive approach; a great team player What you’ll get for this role: Our purpose - with you today, for a better more »

the tech you think is required! Skills desired/what you will learn: Microsoft Azure Azure SQL Microsoft Fabric Delta Lake, Databricks and Spark Statistical Modelling Azure ML Studio Python and familiarity with libraries and frameworks for data analysis and machine learning (e.g., TensorFlow, sci-kit-learn, Pandas more »

innovative models, as well as enhancing existing ones. Implement and enhance existing data pipelines required by our various models/workflows. Develop mathematical/statistical models for Prime desks to enhance business revenue and profitability for stock borrow-loan, cash and synthetic financing books. Devise solutions for systematic book more »

other financial institution Strong programming skills in C# and experience with SQL and database management systems Strong analytical and quantitative skills, and experience in statistical analysis, data modeling or machine learning desirable High levels of motivation and continually seeking to improve the performance of self and supportive of others more »

degree in Actuarial Science, Mathematics, Statistics, or a related field. Master's degree or actuarial credentials (FCAS, ACAS, or equivalent) preferred Experience of actuarial modelling in pricing roles within the insurance industry Deep understanding of actuarial principles, statistical modelling techniques, and insurance pricing methodologies Advanced analytical skills … with proficiency in statistical software (e.g., R, Python, SAS) and data visualisation tools Strong business acumen with the ability to translate actuarial analysis into actionable pricing strategies Excellent communication, presentation, and stakeholder management skills Proven leadership experience, with the ability to inspire and motivate a team to achieve results … Knowledge of regulatory requirements and compliance considerations in insurance pricing Experience with machine learning and predictive modelling techniques is a plus more »

to learn Python For engineering, experience in a DevOps role, ideally in a data science environment Proven interest and technical expertise in data science, statistical modelling and/or machine learning Knowledge around software concepts Experience building and deploying data pipelines, e.g. in the context of ETL and more »

stakeholders. Develop your own skills and capabilities. Experience: Strong RADAR Skills. Possess an understanding of the full insurance pricing process and a range of statistical techniques for modelling. Proven history of mathematical research (either in academia or in industry) Experience in SQL, Python or is desirable. Python is preferred more »

learn more about LexisNexis Risk at the link below, risk.lexisnexis.com About our Team: You will part of a small team assisting the business with statistical analysis and building predictive models for credit, fraud, and identity risk. About the Role: We are looking for a Data Scientist to conduct statistical analysis and build predictive models for credit, fraud, and risk. The ideal candidate will have experience in data mining, statistical methods, and modelling/scoring techniques. They will balance day-to-day analytics assignments, research experiments and will contribute to the advancement of the global data science … group. Responsibilities Building and testing credit and fraud risk statistical models to be used by existing and new customers Providing complex analytical results in clear, simple messaging to evidence the value provided by our products Following modelling best practices and provide feedback on ways to enhance current processes more »