13 of 13 Statsmodels Jobs in the UK

marketing experiments Proficiency in applying ML techniques to marketing and customer datasets Strong proficiency in Python and data science libraries (pandas, NumPy, scikit-learn, statsmodels, or equivalent) Strong command of SQL for querying and analyzing large-scale marketing and media datasets Preferred Qualifications Experience with paid media data across channels ...

building quantitative trading tools, models, or analytics in a financial or commodities setting Strong Python skills in a scientific computing environment (numpy, pandas, scipy, statsmodels or similar) Solid grounding in statistics, time series analysis, and data modeling; machine learning experience is a plus Experience building data pipelines and working with ...

trends, anomalies, risks, and opportunities within large and complex datasets• Develop reproducible analytical workflows using Python, leveraging tools such as pandas, numpy, scipy, and statsmodels• Query, validate, and analyse data using SQL across structured and semi-structured data environments• Work with modern cloud-based data platforms including Azure, Fabric, Synapse ...

interoperability protocols such as MCP Experience with machine learning frameworks and data science packages such as PyTorch, TensorFlow, scikit‐learn, NumPy, pandas, SciPy, and statsmodels Experience deploying to AWS, including services such as SageMaker and Bedrock, and operating production large language model and machine learning workloads with attention to cost ...

information clearly and creating trust with stakeholders. Experience with machine learning frameworks (e.g., PyTorch, TensorFlow), data science packages (e.g., Scikit-Learn, NumPy, SciPy, Pandas, statsmodels) and GenAI toolkit Experience in ML Ops #J-18808-Ljbffr ...

Experience with Natural Language Processing (NLP) Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow) and data science packages (e.g., Scikit-Learn, NumPy, SciPy, Pandas, statsmodels) Ability to work independently and collaboratively Strong attention to detail and interest in analytical problem-solving Results-driven mindset with a client focus Ability ...

product. B2B SaaS experience is a strong plus. Technical Core: Strong Python and applied ML libraries for tabular problems (scikit-learn, XGBoost or LightGBM, statsmodels or Prophet). Solid SQL expertise is required. ML & Modeling Depth: Depth in supervised learning, forecasting, ranking, recommendation, or optimisation. You have modelled messy operational ...

translating technical methods to non-technical stakeholders Strong programming experience in Python and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain). R and C++ optional. Experience with version control (GitHub) ML experience with causality, Bayesian statistics & optimization, survival analysis ...

alpha signals Deep understanding of financial markets and market micro-structure Exceptional analytical and problem solving skills Expertise in using pandas, numpy, scikit-learn, statsmodels-tsa, TensorFlow, Keras, and Matplotlib libraries for data analysis Comfortable taking ownership of projects and responsibilities with minimum supervision At least a bachelors degree ...

causal inference Experience designing and evaluating marketing experiments and lift studies Advanced SQL skills and hands-on Python experience, ideally including pandas, scikit-learn, statsmodels, or similar libraries Familiarity with modern data platforms such as Snowflake, dbt, and cloud-based analytics environments Understanding of digital advertising platforms, attribution challenges, privacy ...

product and commercial outcomes. Advanced SQL — comfortable writing performant queries against large, complex datasets; window functions, CTEs, query optimisation. Strong Python — pandas, numpy, scipy, statsmodels (or equivalent); able to build analysis pipelines, not just notebooks. Solid applied statistics — experimental design, hypothesis testing, sample sizing, multiple testing correction, regression, causal inference ...

8+ years in Data Science/ML with a focus on time‐series forecasting and decision analytics Strong Python (pandas, NumPy, scikit‐learn, statsmodels; PyTorch/TF a plus) and SQL; rigorous evaluation (MAE/RMSE, MAPE, pinball loss) Experience productionising models (APIs/batch jobs), experiment tracking (e.g., MLflow ...

An opportunity for a Data Scientist to join an established Data Science and Analytics team within a specialist financial services business. The role will focus on developing and delivering data science solutions across the full ...