15 of 15 Permanent Statistical Modelling Jobs in Manchester

business insight. Proven experience delivering data and analytics solutions in agile environments, with senior-level autonomy on complex builds. Advanced Power BI capability (semantic modelling, DAX, dataflows) and data-visualisation expertise. Strong SQL and data modelling skills, building scalable and performant solutions. Experience with modern data platforms (Databricks … strong data-quality and validation practices. Proactive delivery mindset, managing priorities, dependencies and stakeholder expectations effectively. Understanding of analytics beyond reporting, including predictive analytics, statistical modelling or machine-learning concepts. Insurance or financial services experience (CII or working towards, desirable).If you are excited about this role ...

pivotal role in advancing our chemical processes, optimising process performance, and driving product development. Your expertise in chemical engineering, machine learning, and mathematical modelling will be instrumental in shaping our future. Qualifications & Skills PhD or equivalent advanced degree in Chemical Engineering, with a strong focus on data analysis, statistical modelling, and computational techniques. Proficiency in Python for data analysis and machine learning. Strong understanding of statistical methods, data manipulation, and data visualisation libraries (e.g., pandas and NumPy, scikit-learn, PyTorch, matplotlib/plotly). Utilise process/data analysis techniques to assess the potential of existing ...

cloud engineering practices. Wherever you land, you’ll be working with some of the biggest datasets in the UK — using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. Cloud-native AI engineering and large-scale data platforms, leveraging Google Cloud technologies and modern coding … practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence, applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. Machine Learning ...

modern cloud engineering practices. Wherever you land,you’llbe working with some of the biggest datasets in the UK — using everything fromSpark and statistical methodsto domain knowledge and emergingGenAIapplications. The work you could be doing Cloud-native AI engineering and large-scale data platforms , leveraging Google Cloud technologies … modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence , applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. ...

solve genuine business problems. Own the data science lifecycle across large, multi-source datasets, from analysis and cleansing through to deployment. Apply a broad statistical toolkit, from GLMs and random forest to NLP, clustering and scenario analysis, to generate insight that gets acted on. est and develop new external … Proven experience in a data science role, delivering data-driven solutions that support genuine business decisions. Strong proficiency in Python for data analysis, modelling and machine learning. Hands-on experience building and evaluating machine learning models. Confident statistical modelling skills across techniques such as GLMs, decision trees ...

process more than 1.5 million bets per hour at peak. Job Description As a Data Scientist, you will develop machine learning solutions and perform statistical analysis to inform strategic, data-driven business decisions and initiatives. Our Data Analytics team monitors, analyses, and optimises key performance indicators across our range … depth exploratory data analysis to uncover hidden patterns, identify trends, and generate actionable insights that inform strategic business decisions. Developing and deploying robust statistical and machine learning models to address complex business challenges and drive innovative solutions. Designing, implementing, and analysing A/B tests and other controlled experiments ...

organisation Supporting product and commercial teams with ad-hoc analysis Developing your knowledge of web analytics and Google Analytics Over time, exploring more sophisticated statistical modelling and other ways of extracting value from the company's data What we're looking for You don't need … products and understanding why metrics change Experience with MySQL, GCP, Looker Studio/Data Studio, Google Analytics, A/B testing, product analytics or statistical analysis would all be useful, but you aren't expected to have everything. The company has a huge amount of data and plenty ...

opportunity for someone who enjoys solving business problems as much as building models. The Role You will: Build, validate and deploy machine learning and statistical models Work with Python, SQL, Databricks and PySpark to analyse large datasets Solve pricing and risk-related business challenges Explore new data sources … experience Advanced Python and SQL skills Experience with Databricks and/or PySpark Knowledge of machine learning techniques such as XGBoost and LightGBM Strong statistical modelling capability Excellent problem-solving and stakeholder management skills Experience in insurance, financial services, or another regulated environment is advantageous ...

Type: Contract Compensation: $60–$100/hour Location: Remote About the Opportunity This opportunity is for experienced Biostatisticians with expertise in biostatistics, clinical research, statistical modeling, study design, data analysis, and regulatory standards to contribute to advanced AI research and evaluation projects . In this role, you'll apply … your expertise to evaluate complex statistical analyses, clinical research methodologies, study designs, and AI-generated scientific outputs . Your work will help improve the accuracy, reasoning, and analytical capabilities of next-generation AI systems. No prior AI experience is required. Your biostatistical expertise, methodological rigor, clinical interpretation, and regulatory ...

public sector, industry or academia. You should have hands-on experience using Python or equivalent tools and a solid understanding of areas such as statistical modelling, supervised and unsupervised learning, deep learning, transformers, Generative AI or Agentic AI. Experience across areas such as PyTorch, TensorFlow, scikit-learn, Hugging ...

Data Scientist turns complex and often loosely defined business questions into clear, actionable insight. The role leads high-value analytical work using Python, SQL, statistical methods and appropriate machine-learning techniques to explain what is happening, understand why it is happening and assess what may happen next. The jobholder … person we are looking for Curious, commercially minded and highly analytical. The successful person will be equally comfortable working in Python, SQL and statistical models, sitting with a senior stakeholder to clarify an uncertain question, and stepping back to explain the so what? in plain language. Most importantly, they ...

cost drivers to identify trends, risks and opportunities. Develop repeatable frameworks for measuring business impact and value creation. Apply advanced analytics, forecasting and predictive modelling techniques to optimise performance. Evaluate the effectiveness of business initiatives using robust statistical methods. Translate complex data into clear, actionable recommendations for senior … analytical experience. Strong commercial and analytical problem-solving skills. Proficiency in SQL, Python, SAS, R, or similar analytical programming languages. Experience building and applying statistical models/AI to solve business problems. Advanced Excel and PowerPoint capabilities. Excellent stakeholder management and communication skills. Experience leading complex analytical projects involving ...

such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments. Track record … problems without prescriptive approaches. Overseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives. Developing predictive models and algorithms using statistical techniques and machine learning. Conducting and supervising rigorous statistical validation of models against historical and live data. Collaborating with trading teams to incorporate ...

environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize ...

environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize ...