31 to 55 of 129 Statistical Modelling Jobs

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 »

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 »

for seamless user experiences Enhancing search engine logic through machine learning for an optimised search experience Implementing collaborative-filtering approaches for personalised resource recommendations Statistical modelling and forecasting to meet user needs effectively Developing real-time data pipelines to address gaps in our product offering Optimising customer experiences more »

as Geo-testing and marketing attribution. You are an expert in using various analysis techniques, such as linear and logistic regression, significance testing, and statistical modelling. Educated to degree level in a numerate/analytical subject. Solutions focused approach, with an intellectual curious mindset and ambition to add value more »

Statistics, Data Science, Computer Science or Physics from Russell Group University Proficient in several of the following: Python, MATLAB, C++, R, C# Mathematical and statistical Modelling Quantitative Analysis experience within the sports trading industry is essential Excellent Mathematical skills Analytic mindset If you feel you have the skills more »

in the following: Qualified or nearly qualified actuary with relevant experience in the insurance industry. Strong analytical and problem-solving skills, with proficiency in statistical modelling and data analysis tools (eg, SAS, R, Python). Solid understanding of insurance principles and pricing techniques. Excellent communication and interpersonal skills more »

on smashing goals and loving what they do! If you're a Senior/Lead Data Scientist in the Financial Services with experience in..... Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs Python, Pyspark, Azure, Agile, MetaBase, then please apply. 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 »

umbrella company) Our client, a leading innovator in data-driven decision-making, is seeking a Data Scientist to contribute to their product strategy through statistical analysis. This role requires a blend of statistical expertise and business acumen. You will play a key role in shaping product strategy by … motivated individual who excels in collaborative environments and possesses strong communication skills. About the Role: We are looking for a Data Scientist to conduct statistical analysis to support product strategy decisions. Ideally you will have experience in data mining, statistical methods and modelling/scoring techniques. Responsibilities … the support of data science peers. Requirements: A degree in Computer Science, Mathematics, Statistics or Quantitative Methods (or equivalent experience). Good understanding of statistical methods applied to data analysis. Strong experience with R, Python, SAS, SPSS (or equivalent analytics software). The ability to describe statistical results more »

business export to 17 countries and have operations in the UK, Europe, USA and Australia. We are seeking a talented and experienced AI Data Modelling Developer to be a key player in our innovative and cutting-edge projects. If you're passionate about pushing the boundaries of technology and … experience in developing models with python to test control strategies for power flow in the energy or engineering sector, the role of AI Data Modelling Developer could be an opportunity to grow your career with in this very well-established yet rapidly growing firm. The role of AI Data … Modelling Developer will be responsible for the following areas: Using Python to simulate and model performance of electric power systems Conduct statistical modelling to identify energy trends, support energy planning and forecast utility consumption and budgets Primary and secondary data collection, as well as compiling and maintaining more »

AI Data Modelling Engineer - £45K - Sheffield (Hybrid) A Sheffield based, forward thinking, and award winning business are looking to add to their existing team with the acquisition of a new AI Data Modelling Engineer. A role that will see the successful candidate developing models with python to test … right to work in the UK and no future sponsorship requirements. Responsibilities: Using Python to simulate and model performance of electric power systems Conduct statistical modelling to identify energy trends, support energy planning and forecast utility consumption and budgets Primary and secondary data collection, as well as compiling more »

help pursue world-class medicines in new ways, combining our people’s exceptional skills with those of people from all over the globe. This statistical software development position sits in our Quantitative Solutions (QS) team, within Statistical Innovation group, part of the Respiratory Biometrics Department. QS is a … centre of excellence for building high quality software tools to provide novel statistical analyses, advanced analytics and business solutions. Main Duties and Responsibilities As a Product Owner for statistical software you will be the project lead for statistical software development projects, providing high quality software solutions in … The Role will include: Being the project lead for the development team, ensuring the tool functionality is representative of the needs of stakeholders. Providing statistical input for translating the needs of stakeholders & users to the development team Defining the scope and expected deliveries & timelines for projects Planning the workload more »

identify, measure, and mitigate market risk exposures associated with the Solutions business. 3. Exotic Derivatives Expertise: Possess a deep understanding of exotic derivatives products, modelling, pricing and their market risk profiles. 4. Risk Assessment: Conduct regular assessments of market risk exposures, stress testing scenarios, and sensitivity analyses to assess … Proven leadership experience, with the ability to effectively manage and develop a team of risk professionals. - Excellent analytical skills, with proficiency in quantitative analysis, statistical modelling, and risk assessment techniques. - Solid understanding of regulatory requirements related to market risk management (e.g., Basel III, FRTB). - Advanced proficiency in 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 »

. That said, candidates with experience working within interest rate trading are particularly welcomed. You must be able to demonstrate an ability to understand statistical analysis and modelling. This is an excellent opportunity to join a highly successful and very collegiate fund with a progressive and positive working culture more »

or systems for data collections, analyses/visualization of biometric wearable data. At least 7 years of experience demonstrating proficiency in basic and complex statistical modeling. Proven track record of conducting research in sleep science with a focus on technology development or novel implementation. Strong understanding of technical concepts more »

or systems for data collections, analyses/visualization of biometric wearable data. At least 7 years of experience demonstrating proficiency in basic and complex statistical modeling. Proven track record of conducting research in sleep science with a focus on technology development or novel implementation. Strong understanding of technical concepts more »

or systems for data collections, analyses/visualization of biometric wearable data. At least 7 years of experience demonstrating proficiency in basic and complex statistical modeling. Proven track record of conducting research in sleep science with a focus on technology development or novel implementation. Strong understanding of technical concepts more »

or systems for data collections, analyses/visualization of biometric wearable data. At least 7 years of experience demonstrating proficiency in basic and complex statistical modeling. Proven track record of conducting research in sleep science with a focus on technology development or novel implementation. Strong understanding of technical concepts more »

or systems for data collections, analyses/visualization of biometric wearable data. At least 7 years of experience demonstrating proficiency in basic and complex statistical modeling. Proven track record of conducting research in sleep science with a focus on technology development or novel implementation. Strong understanding of technical concepts more »

or systems for data collections, analyses/visualization of biometric wearable data. At least 7 years of experience demonstrating proficiency in basic and complex statistical modeling. Proven track record of conducting research in sleep science with a focus on technology development or novel implementation. Strong understanding of technical concepts more »