26 to 50 of 138 Statistical Modelling Jobs

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 »

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 »

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 »

on behavioural, transactional, and demographic data. Provide actionable recommendations to improve customer engagement, satisfaction, and loyalty. Requirements 1-3 years experience in data analysis, statistical modelling, and machine learning techniques. Proficiency in using Dataiku or similar data science platforms for data manipulation and modelling e.g. Alteryx, Microsoft … for non-technical stakeholders. Prior experience in the fashion industry or luxury retail sector is a plus. Inquisitive and curious with a passion for statistical modelling. Details 12-month FTC Start date: ASAP Hybrid working - 3 days in central London office Salary 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 »

to improve customer engagement, satisfaction, and loyalty. • Continuously monitor market trends and competitor activities to identify opportunities for innovation. Skills • Experience in data analysis, statistical modelling, and machine learning techniques. • Proficiency in using Dataiku or similar data science platforms for data manipulation and modelling. • Strong programming skills in 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 »

closely with our clients to understand their unique challenges and develop bespoke solutions. You will utilize your expertise in data analysis, machine learning, and statistical modeling to extract actionable insights from complex datasets. You will translate technical findings into clear, concise recommendations, guiding clients towards informed business strategies. You 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 »

Travel up to 25% One year of work experience that includes the following: Analysis and summarization of data using spreadsheets. Knowledge of actuarial and statistical modeling techniques Proven ability to handle multiple projects and tasks. Proficiency in Microsoft Office Suite (especially Excel and PowerPoint) Strong written and verbal communication more »

or similar. At least have 5 years of work experience including the following: Analysis and summarization of data using spreadsheets. Knowledge of actuarial and statistical modeling techniques Proven ability to handle multiple projects and tasks. Proficiency in Microsoft Office Suite (especially Excel and PowerPoint) Strong written and verbal communication 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 »

are essential. Exposure to Data Analytics, AI, and ML would be very beneficial. The role: Improving budgeting and forecasting systems through trend analysis and statistical modeling. Leveraging methods such as Linear Models, Random Forest etc Interrogating large data sets and applying feature analysis to identify key areas to maximise … their own insights from these views/repositories Skills/experience: Strong knowledge of Python Exposure to Tensorflow/Keras Used Trend Anaylsis and Statistical Modelling Data visualisation experience (Tableau) MySQL experience preferred (or similar Relational Database) Strong attention to detail, and analysis skills. AI/MI l 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 »

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 »

can keep on smashing goals and loving what they do! If you're a 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 »