26 to 40 of 40 Remote/Hybrid Statistical Modelling Jobs

technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics. Knowledge of advanced football metrics (possession value models highly desirable). A deep ...

Senior Python Software Engineer is needed to join an international advanced analytics data company. Our client is a specialist technology business delivering sophisticated modelling and optimisation tools that help organisations make smarter commercial decisions. You’ll join a collaborative, international team where engineering excellence and mathematical rigour … work on complex, meaningful challenges at scale. The Senior Python Software Engineer will design and build high-performance analytics modules that power advanced modelling and optimisation capabilities. Role Highlights • Develop scalable Python modules for analytics and optimisation • Implement advanced algorithms for forecasting and modelling • Process large datasets ...

passionate about using advanced data science to drive real-world impact in sport, this is the role for you. Key Responsibilities Develop and apply statistical models and algorithms to analyse player performance, match outcomes, and tactical insights Collect, clean, and process football-related data from diverse sources Build clear … experience as a Data Scientist , plus a strong academic foundation Python Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such ...

Leading pharmaceutical client now requires a Senior Data Scientist to drive marketing effectiveness via marketing mix modelling and other models. This role will oversee data collection, extraction, manipulation, analysis and validation ensuring data is ready for modelling. You will work closely with the Data Science team to build base … programming and ideally with MMM models. Strong experience with Pymc is essential. Experience with Regression based models in an MMM context. Strong understanding of statistical modelling/Machine Learning techniques. Experience with probabilistic programming and Bayesian methods Good working knowledge of cloud-based data science frameworks. This ...

seeking sponsorship* Job Summary Python Engineer is required for a successful startup delivering innovative solutions to the sports betting industry. They capitalize on advanced statistical models and machine learning to interpret the complexities of sports, providing deep analytical insights. The successful candidate should have experience developing sports models used ...

looking for from you: Strong and significant software engineering experience (C++, Java or similar) Solid background in data science and machine learning research, or statistical modelling Experience developing and prototyping novel systems or approaches Ability to take research concepts through to practical application An adaptable and continuous learning ...

Analytics Hub function and areas that feed into the team. We would like you to bring in experience of using techniques such as regression modelling, significance testing, forecasting and multivariate analysis to uncover significant patterns in sophisticated data. Develop, compose, implement and evaluate hypothesis-driven experiments, using frameworks … partnering with operational leaders to identify risks, opportunities and continuous improvement initiatives. Key Skills & Experience Strong analytical background with experience building and maintaining statistical and predictive models Advanced in SQL and Python Expertise in regression modelling, forecasting, significance testing and multivariate analysis Experience designing and evaluating hypothesis-driven ...

entire ML lifecycle , working hands‐on and strategically: Design, build, and optimise ML models across: Natural Language Processing (NLP) Computer Vision Predictive/statistical modelling Own solutions from data preparation → training → evaluation → deployment Design and maintain robust MLOps pipelines (CI/CD for ML, model versioning, monitoring) Work ...

ensuring that the system aligns with business processes and goals. Experience with SAP IBP configurations and implementations, including knowledge of planning functions, statistical models, and planning views. Integrate SAP IBP with other modules like SAP S/4HANA, SAP APO, or third-party applications. Perform system testing, validation ...

less than 4 Casualty Actuarial Society examinations. Proficiency in Microsoft Excel, Word, and database programs. Programming experience. Familiarity with SAS preferred. Data and statistical analysis skills are a must, as well as attention to detail. Familiarity with statistical models. Excellent written and oral communication skills. EDUCATION REQUIREMENTS College ...

develop in-house capabilities and solutions that directly enhance our Marketing Effectiveness proposition. HOW YOU WILL MAKE AN IMPACT Maintain and enhance core Python modelling tools for the Marketing Effectiveness team. Manage the migration of manual workflows into automated, production-ready software. Develop in-house technical solutions that directly … TEAM MUST HAVE SKILLS Strong Python engineering skills, writing clean, modular, and production-ready code. Data science experience, applying machine learning and statistical models for Marketing Mix Modelling (MMM) and Econometrics. Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences. Strong command ...

largely remote role with on average just 1 day a month required in the office. The Data Scientist (Machine Learning) will apply statistical and machine learning techniques to real commercial datasets, producing outputs such as impact analysis, ROI modelling, forecasting, and anomaly detection. The emphasis is on practical … could be a great opportunity for you. You should have experience of: Experience as a Data Scientist or advanced Data Analyst Strong analytical/statistical skills Practical Python modelling experience Good SQL for data exploration Clear communication of results to non-technical teams Initially this ...

largely remote role with on average just 1 day a month required in the office. The Data Scientist (Machine Learning) will apply statistical and machine learning techniques to real commercial datasets, producing outputs such as impact analysis, ROI modelling, forecasting, and anomaly detection. The emphasis is on practical … could be a great opportunity for you. You should have experience of: Experience as a Data Scientist or advanced Data Analyst Strong analytical/statistical skills Practical Python modelling experience Good SQL for data exploration Clear communication of results to non-technical teams Initially this ...

data science, helping organisations understand what drives real-world healthcare behaviour (e.g. vaccine uptake, medication adherence, clinical trial participation) through large-scale datasets, modelling and insight products. This is a builder culture where curiosity, creativity and strong scientific thinking are genuinely valued. They’re hiring a Senior Behavioural Data … Lead R&D projects focused on drivers of US healthcare behaviour at scale Design and run behavioural measurement approaches (survey + digital signals) Build statistical and predictive models (regression, segmentation, behavioural modelling) Translate findings into benchmarks, insights and recommendations Partner with PM/DE to productise outputs into ...

small and medium sized businesses. Operating in a highly data driven environment, they have built a profitable, automated lending platform supported by sophisticated statistical and machine learning models. The business is well capitalised, commercially mature, and continuing to invest heavily in data science as a core differentiator. The Role … embedded in decision making. Overseeing the use of probabilistic and machine learning models in production environments and contributing to longer term technical and modelling strategy. Helping the business prioritise where data science delivers the greatest commercial impact. Your Skills & Experience Strong experience leading and scaling sizeable data science teams ...