10 of 10 Statistical Modelling Jobs in Hertfordshire

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 ❯

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 ❯

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 ❯

What They're Looking For 1-2 years in data science or a related field, or a Master’s degree. Strong Python programming (essential), SQL, and linear regression/statistical modeling. Experience with web scraping, machine learning, or dashboarding is a plus. A background in finance or exposure to financial data is advantageous but not required. The Process A More ❯

Python programming with a focus on data manipulation and engineering. A genuine interest in data science and a drive to expand your skillset into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimising workflows. Excellent communication and teamwork abilities to thrive in a dynamic consultancy environment. Data modelling experience More ❯

Data Factory, or Databricks. Familiarity with Microsoft Fabric or willingness to learn. Proficiency in Python for data manipulation and engineering. Interest in data science, predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Experience with data modeling and Kimball methodology. Certification: DP-600 – Fabric Analytics Engineer Associate. Responsibilities Daily tasks More ❯

to its ecosystem. Proficiency in Python programming focused on data manipulation and engineering. Interest in data science and a desire to expand skills into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimizing workflows. Excellent communication and teamwork abilities for a consultancy environment. Data modeling experience and knowledge of Kimball More ❯

adapt to its ecosystem. Proficiency in Python programming, focusing on data manipulation and engineering. Interest in data science with a desire to expand into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimizing workflows. Excellent communication and teamwork abilities suited for a dynamic consultancy environment. Data modeling experience and understanding More ❯

severity Producing reports and presentations to communicate the results of actuarial analyses to key stakeholders Requirements: PhD/Masters in a research based subject Experience of actuarial pricing or statistical modelling #J-18808-Ljbffr More ❯

severity Producing reports and presentations to communicate the results of actuarial analyses to key stakeholders Requirements: PhD/Masters in a research based subject Experience of actuarial pricing or statistical modelling #J-18808-Ljbffr More ❯