1 to 25 of 31 Statistical Modelling Jobs in the East of England

selection to optimize model performance. • Select and implement appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models. • Train, evaluate, and optimize models using machine learning and statistical techniques. • Conduct extensive data exploration, analysis, and preprocessing to ensure data quality for AI/ML applications. • Develop and apply data science methodologies to extract insights from large-scale … retrain or refine models as needed. • Collaborate with cross-functional teams to integrate AI/ML models with business applications and systems. • Utilise predictive analytics, time series forecasting, and statistical models to drive business decision-making. • Stay updated on the latest advancements in AI/ML and data science technologies. • Lead and mentor junior team members. • Develop and maintain … NumPy, pandas, scikit-learn). • Proficiency in Python, R, or other relevant programming languages. • Proficiency in working with large datasets, data wrangling, and data preprocessing. • Experience in data science, statistical modelling, and data analytics techniques. • Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau). • Ability to work independently and lead projects from inception to deployment. More ❯

quality for AI/ML applications. Develop and apply data science methodologies to extract insights from large-scale structured and unstructured datasets. Utilise predictive analytics, time series forecasting, and statistical models (nice to have skill) to drive business decision-making. Train, evaluate, and optimize models using statistical techniques Key Skills: 5+ years of experience in AI/ML … years experience in data science Data science libraries (e.g., NumPy, pandas, scikit-learn). Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics techniques. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure) is desirable. MSc or PhD in Computer Science More ❯

tools such as Tableau or Looker. A proactive approach to problem-solving, with a bias toward action in high-energy, fast-paced environments. Experience in A/B testing, statistical modeling, and forecasting, with a demonstrated ability to translate complex findings into practical solutions. If you’re passionate about leveraging data to create meaningful impact, thrive in collaborative environments More ❯

selection to optimize model performance. Select and implement appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models. Train, evaluate, and optimize models using machine learning and statistical techniques. Conduct extensive data exploration, analysis, and preprocessing to ensure data quality for AI/ML applications. Develop and apply data science methodologies to extract insights from large-scale … retrain or refine models as needed. Collaborate with cross-functional teams to integrate AI/ML models with business applications and systems. Utilise predictive analytics, time series forecasting, and statistical models to drive business decision-making. Stay updated on the latest advancements in AI/ML and data science technologies. Lead and mentor junior team members. Develop and maintain … NumPy, pandas, scikit-learn). Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics techniques. Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau). Ability to work independently and lead projects from inception to deployment. More ❯

Tableau or Looker Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment Hands on experience in A/B testing and statistical modeling/forecasting #LI-PA1 Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our More ❯

Engineering teams to help define product direction. BASIC QUALIFICATIONS 2+ years of data scientist experience and 3+ years of data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab, etc.) experience. 3+ years of machine learning/statistical modeling data analysis tools and techniques experience. Experience applying theoretical models in … computer science. PREFERRED QUALIFICATIONS PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. 5+ years of machine learning/statistical modeling data analysis tools and techniques experience. Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer). Prior experience in training and fine-tuning of Large Language More ❯

refine models as needed. Collaborate with cross-functional teams to integrate AI/ML models with business applications and systems. Train, evaluate, and optimize models using machine learning and statistical techniques. Conduct extensive data exploration, analysis, and preprocessing to ensure data quality for AI/ML applications. Develop and apply data science methodologies to extract insights from large-scale … structured and unstructured datasets. Utilise predictive analytics, time series forecasting, and statistical models to drive business decision-making. Stay updated on the latest advancements in AI/ML and data science technologies. Develop and maintain comprehensive documentation for AI/ML pipelines, data workflows, and analytical processes Your Profile Essential skills/knowledge/experience: Good experience in AI … NumPy, pandas, scikit-learn). Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics techniques. Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau). Ability to work independently and lead projects from inception to deployment. More ❯

big data" sources to generate actionable insights. Build databases and is responsible for the curation of Data, including experimental data management. Extracting knowledge, insights and predictions from data using statistical methods, machine learning and data visualization. Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement. Define and … Biology, Chemistry, Computer Science, Physics, etc. Relevant work experience in either an academic or industry setting. Working knowledge of cell biology and experience in large scale data analysis and statistical modeling on datasets like RNA-seq, ATAC-seq, protein network, pathways, etc. Proven track record of completed scientific projects as evidenced by publications and preprints. Strong breadth and expertise … in Statistical analysis, machine learning, data visualization, programming (Python, R, etc.), data cleaning and data manipulation. Tools: Python, R, SQL, TensorFlow, Scikit-learn, Tableau, Power BI. Ability to generate high quality ideas and be self-driven to explore. Strong experience in programming and comfortable modifying existing code-base. Experience with Python, R data cleaning and data manipulation or other More ❯

ML frameworks/libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong grasp of LLMs, GenAI, and AI system architectures. Experienced with large-scale datasets and preprocessing pipelines. Skilled in statistical modelling and data visualization tools (e.g., Tableau, Seaborn, Matplotlib). Able to independently lead complex projects from design to deployment. Desirable: Experience with big data tools (Hadoop, Spark More ❯

ML frameworks/libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong grasp of LLMs, GenAI, and AI system architectures. Experienced with large-scale datasets and preprocessing pipelines. Skilled in statistical modelling and data visualization tools (e.g., Tableau, Seaborn, Matplotlib). Able to independently lead complex projects from design to deployment. Desirable: Experience with big data tools (Hadoop, Spark More ❯

ML frameworks/libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong grasp of LLMs, GenAI, and AI system architectures. Experienced with large-scale datasets and preprocessing pipelines. Skilled in statistical modelling and data visualization tools (e.g., Tableau, Seaborn, Matplotlib). Able to independently lead complex projects from design to deployment. Desirable: Experience with big data tools (Hadoop, Spark More ❯

Graph Algorithms, High-Performance Computing, Logistic Regression Model, Machine Learning (Ml), Master Data Management, Pandas (Python), Python (Programming Language), R (Programming Language), Random Forest Algorithm, Sql (Structured Query Language), Statistical Modeling, Time Series Analysis More ❯

at Haven, playing a key role in automating and optimising our Holiday pricing system. This is an exciting opportunity for a data-driven professional to shape strategic decisions using statistical modelling, machine learning, and operations research techniques. With a strong emphasis on business impact, you’ll work collaboratively across departments to transform data into clear, actionable insights that … power better outcomes. Your Opportunity: Apply advanced statistical and machine learning methods to complex business problems Build and maintain decision science algorithms to support commercial strategies Deliver compelling insights to stakeholders, clearly communicating technical outputs Ensure data quality and integrity throughout all analysis projects Document processes to ensure replicability and long-term use Provide technical guidance to peers and … of key business KPIs including EBITDA performance Embed data at the heart of decision-making processes across the organisation What We’d Like You to Bring: Strong proficiency in statistical analysis, machine learning, and predictive modelling Advanced knowledge of programming tools such as Python, R, and Microsoft SQL Proven ability to translate complex data into meaningful business recommendations More ❯

of the Data Science team. What You’ll Do Research, plan, and deliver the development of data science products for a variety of business areas. This will include creating statistical models and deploying them on enterprise cloud infrastructure, as well as interfacing with internal stakeholders to understand their business needs and communicating possible solutions. You will effectively communicate complex … with Python and SQL, including key packages such as Numpy, Pandas and Scikit-learn Have experience with implementation of machine learning concepts and methods Have a solid knowledge of statistical concepts and their applications Have great communication skills with a passion for data storytelling It would be great to have Experience with data science in a retail environment Experience More ❯

educational experience. Solid programming skills in at least one of the major programming languages (e.g., C/C++, Python, R). In-depth knowledge of protein sequence or structure modelling, protein-ligand interaction predictions and/or molecular simulations. Understanding of AI/ML methods and practical experience in adopting AI/ML-driven protein-design models. Strong fundamentals … in statistical modelling, algorithm design, data analysis, and/or visualization methods. Excellent verbal and written communication skills. Collaborative, open and self-aware, team player, and able to rapidly integrate into cross functional teams. Highly motivated individual with proven ability in thinking innovatively and the proven track record of productive research and development. Preferred experiences and attributes Practical … AI/ML model development for protein design. Experience with experiments within protein engineering, e.g. directed-evolution, high-throughput screening. Experience in using one or more commonly used molecular modelling software, e.g. Rosetta. Knowledge of best software development practices and code version control, e.g. Git. Knowledge of UNIX environment and shell scripting. Experience with high-performance computing, job schedulers More ❯

edge biotech organization is seeking highly motivated Computational Scientists to support the mission of decoding and engineering the immune system. The role focuses on developing advanced machine learning and statistical models to analyze complex biological data, particularly immune repertoires and multimodal datasets. About the Role As part of a collaborative Computational Biology team, you will: Design and implement machine … and industry domains. Required Qualifications PhD (or MSc with equivalent experience) in Computational Biology, Bioinformatics, Computer Science, Statistics, Physics , or related quantitative discipline. Strong background in machine learning and statistical modeling , with a demonstrated ability to solve complex biological problems. Proven track record of scientific productivity (e.g., peer-reviewed publications). Hands-on experience in data handling, visualization , and More ❯

edge biotech organization is seeking highly motivated Computational Scientists to support the mission of decoding and engineering the immune system. The role focuses on developing advanced machine learning and statistical models to analyze complex biological data, particularly immune repertoires and multimodal datasets. About the Role As part of a collaborative Computational Biology team, you will: Design and implement machine … and industry domains. Required Qualifications PhD (or MSc with equivalent experience) in Computational Biology, Bioinformatics, Computer Science, Statistics, Physics , or related quantitative discipline. Strong background in machine learning and statistical modeling , with a demonstrated ability to solve complex biological problems. Proven track record of scientific productivity (e.g., peer-reviewed publications). Hands-on experience in data handling, visualization , and More ❯

edge biotech organization is seeking highly motivated Computational Scientists to support the mission of decoding and engineering the immune system. The role focuses on developing advanced machine learning and statistical models to analyze complex biological data, particularly immune repertoires and multimodal datasets. About the Role As part of a collaborative Computational Biology team, you will: Design and implement machine … and industry domains. Required Qualifications PhD (or MSc with equivalent experience) in Computational Biology, Bioinformatics, Computer Science, Statistics, Physics , or related quantitative discipline. Strong background in machine learning and statistical modeling , with a demonstrated ability to solve complex biological problems. Proven track record of scientific productivity (e.g., peer-reviewed publications). Hands-on experience in data handling, visualization , and More ❯

edge biotech organization is seeking highly motivated Computational Scientists to support the mission of decoding and engineering the immune system. The role focuses on developing advanced machine learning and statistical models to analyze complex biological data, particularly immune repertoires and multimodal datasets. About the Role As part of a collaborative Computational Biology team, you will: Design and implement machine … and industry domains. Required Qualifications PhD (or MSc with equivalent experience) in Computational Biology, Bioinformatics, Computer Science, Statistics, Physics , or related quantitative discipline. Strong background in machine learning and statistical modeling , with a demonstrated ability to solve complex biological problems. Proven track record of scientific productivity (e.g., peer-reviewed publications). Hands-on experience in data handling, visualization , and More ❯

and when interacting with Clients. Proficiency in data visualization tools such as Tableau or QlikView. Strong analytical and problem-solving skills. Experience with SQL and database management. Knowledge of statistical analysis and data modeling techniques. Ability to work independently and as part of a team. Strong attention to detail and accuracy. Effective communicator, able to define goals, talk through More ❯

for a Technical Pricing Manager to generate incremental lifetime value of our portfolio through the delivery and development of retail pricing models and optimisations using innovative and cutting-edge modelling approaches. You will help continuously improve the pricing process and enhance the abilities of the wider team, as well as being involved with integrating and establishing the use of … advanced data science and statistical techniques to enhance pricing model accuracy and output. Key Responsibilities End to end production of pricing models using a tailor-made pricing pipeline Use of Earnix to build predictive statistical models and intelligently optimise customer prices Contribute and implement improvements to the pricing process to increase pricing performance and efficiency Contribute and lead … research and development opportunities to help innovate and improve current modelling and pricing methodologies Evaluate and utilise tools and data items created by the data science teams Ensure all activity is compliant with pricing governance and follows established controls Work closely with the Commercial Pricing Team to ensure pricing models meet business objectives, and manage relationships with key stakeholders More ❯

for a Technical Pricing Manager to generate incremental lifetime value of our portfolio through the delivery and development of retail pricing models and optimisations using innovative and cutting-edge modelling approaches. You will help continuously improve the pricing process and enhance the abilities of the wider team, as well as being involved with integrating and establishing the use of … advanced data science and statistical techniques to enhance pricing model accuracy and output. Key Responsibilities End to end production of pricing models using a tailor-made pricing pipeline Use of Earnix to build predictive statistical models and intelligently optimise customer prices Contribute and implement improvements to the pricing process to increase pricing performance and efficiency Contribute and lead … research and development opportunities to help innovate and improve current modelling and pricing methodologies Evaluate and utilise tools and data items created by the data science teams Ensure all activity is compliant with pricing governance and follows established controls Work closely with the Commercial Pricing Team to ensure pricing models meet business objectives, and manage relationships with key stakeholders More ❯

for a Technical Pricing Manager to generate incremental lifetime value of our portfolio through the delivery and development of retail pricing models and optimisations using innovative and cutting-edge modelling approaches. You will help continuously improve the pricing process and enhance the abilities of the wider team, as well as being involved with integrating and establishing the use of … advanced data science and statistical techniques to enhance pricing model accuracy and output. Key Responsibilities End to end production of pricing models using a tailor-made pricing pipeline Use of Earnix to build predictive statistical models and intelligently optimise customer prices Contribute and implement improvements to the pricing process to increase pricing performance and efficiency Contribute and lead … research and development opportunities to help innovate and improve current modelling and pricing methodologies Evaluate and utilise tools and data items created by the data science teams Ensure all activity is compliant with pricing governance and follows established controls Work closely with the Commercial Pricing Team to ensure pricing models meet business objectives, and manage relationships with key stakeholders More ❯

for a Technical Pricing Manager to generate incremental lifetime value of our portfolio through the delivery and development of retail pricing models and optimisations using innovative and cutting-edge modelling approaches. You will help continuously improve the pricing process and enhance the abilities of the wider team, as well as being involved with integrating and establishing the use of … advanced data science and statistical techniques to enhance pricing model accuracy and output. Key Responsibilities End to end production of pricing models using a tailor-made pricing pipeline Use of Earnix to build predictive statistical models and intelligently optimise customer prices Contribute and implement improvements to the pricing process to increase pricing performance and efficiency Contribute and lead … research and development opportunities to help innovate and improve current modelling and pricing methodologies Evaluate and utilise tools and data items created by the data science teams Ensure all activity is compliant with pricing governance and follows established controls Work closely with the Commercial Pricing Team to ensure pricing models meet business objectives, and manage relationships with key stakeholders More ❯

financial models within the technology sector This centrally based Cambridge consultancy works with customers across the world to provide highly strategic expertise through their knowledge and understanding of quantitative modelling for financial applications within the telecommunications technology sector. They utilise historical and market data as well as build statistical inferred models to provide insight into complex problems. They … class degree in Maths or Physics from a top ranked university. Applicants should also hold an advanced degree (Master’s or PhD) in a highly numerate subject. Extensive numerical modelling skills using statistics or quantitative analysis. Specific experience with financial mathematics is not needed but any exposure would be of interest. Good communication skills. Bilingual speakers (Spanish, German, Arabic … well-considered by the company). Further, candidates do need full rights to work in the UK. On offer is an excellent compensation package. Keywords: Consultancy, Quant Analysis, Maths Modelling, Statistics, Inference, Worldwide Travel Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well More ❯