Excellent problem-solving skills, business acumen, and the ability to translate complex models into actionable insights for non-technical stakeholders. Tools/Frameworks : PyCaret, Prophet, or custom implementations for time series A/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/ More ❯
Excellent problem-solving skills, business acumen, and the ability to translate complex models into actionable insights for non-technical stakeholders. Tools/Frameworks : PyCaret, Prophet, or custom implementations for time series A/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/ More ❯
Excellent problem-solving skills, business acumen, and the ability to translate complex models into actionable insights for non-technical stakeholders. Tools/Frameworks : PyCaret, Prophet, or custom implementations for time series A/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/ More ❯
Excellent problem-solving skills, business acumen, and the ability to translate complex models into actionable insights for non-technical stakeholders. Tools/Frameworks : PyCaret, Prophet, or custom implementations for time series A/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/ More ❯
Excellent problem-solving skills, business acumen, and the ability to translate complex models into actionable insights for non-technical stakeholders. Tools/Frameworks : PyCaret, Prophet, or custom implementations for time series A/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/ More ❯
Excellent problem-solving skills, business acumen, and the ability to translate complex models into actionable insights for non-technical stakeholders. Tools/Frameworks : PyCaret, Prophet, or custom implementations for time series A/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/ More ❯
Excellent problem-solving skills, business acumen, and the ability to translate complex models into actionable insights for non-technical stakeholders. Tools/Frameworks : PyCaret, Prophet, or custom implementations for time series A/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/ More ❯
Excellent problem-solving skills, business acumen, and the ability to translate complex models into actionable insights for non-technical stakeholders. Tools/Frameworks : PyCaret, Prophet, or custom implementations for time series A/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/ More ❯
Excellent problem-solving skills, business acumen, and the ability to translate complex models into actionable insights for non-technical stakeholders. Tools/Frameworks : PyCaret, Prophet, or custom implementations for time series A/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/ More ❯
Excellent problem-solving skills, business acumen, and the ability to translate complex models into actionable insights for non-technical stakeholders. Tools/Frameworks : PyCaret, Prophet, or custom implementations for time series A/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/ More ❯
Excellent problem-solving skills, business acumen, and the ability to translate complex models into actionable insights for non-technical stakeholders. Tools/Frameworks : PyCaret, Prophet, or custom implementations for time series A/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/ More ❯
Excellent problem-solving skills, business acumen, and the ability to translate complex models into actionable insights for non-technical stakeholders. Tools/Frameworks : PyCaret, Prophet, or custom implementations for time series A/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/ More ❯
Excellent problem-solving skills, business acumen, and the ability to translate complex models into actionable insights for non-technical stakeholders. Tools/Frameworks : PyCaret, Prophet, or custom implementations for time series A/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/ More ❯
Excellent problem-solving skills, business acumen, and the ability to translate complex models into actionable insights for non-technical stakeholders. Tools/Frameworks : PyCaret, Prophet, or custom implementations for time series A/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/ More ❯
Excellent problem-solving skills, business acumen, and the ability to translate complex models into actionable insights for non-technical stakeholders. Tools/Frameworks : PyCaret, Prophet, or custom implementations for time series A/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/ More ❯
have worked on include the following: AI Assistants for all our brands utilising advanced RAG applications based on LLM architectures. A hybrid LSTM and Prophet time series forecasting model for advertising expenditures, capturing long-term and short-term trends, at the country, product category and advertising medium level on a More ❯
London, England, United Kingdom Hybrid / WFH Options
Harnham
to end Strong communication skills for cross-team collaboration Desired Skills and Experience time series forecasting, temporal modelling, Python, SQL, scikit-learn, Pandas, NumPy, Prophet, GCP, cloud deployment, productionising models, data pipelines, model validation, stakeholder collaboration, media data More ❯
Slough, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
to end Strong communication skills for cross-team collaboration Desired Skills and Experience Time series forecasting, temporal modelling, Python, SQL, scikit-learn, Pandas, NumPy, Prophet, GCP, cloud deployment, productionising models, data pipelines, model validation, stakeholder collaboration, media data #J-18808-Ljbffr More ❯
London, England, United Kingdom Hybrid / WFH Options
GSK Group of Companies
programming for Data Science and Time Series analysis Have in depth understanding of statistical modelling/ML techniques for time series forecasting (ARIMA, ETS, Prophet, Time Series pattern detection, and ML methods) Experience with Causal inference, Intervention analysis, Counterfactuals Estimation, Optimization and Scenarios simulation Good experience with Probabilistic Programming and More ❯
and revenue teams Ensure models are production-ready using modern pipelines and tools Required Experience: Proven track record in time series forecasting (e.g., ARIMA, Prophet, LSTM) Strong experience with large datasets (e.g., traffic, engagement metrics) Model deployment experience in production environments Key Skills: Programming: Python (strong), SQL Cloud Platforms: GCP More ❯
and revenue teams Ensure models are production-ready using modern pipelines and tools Required Experience: Proven track record in time series forecasting (e.g., ARIMA, Prophet, LSTM) Strong experience with large datasets (e.g., traffic, engagement metrics) Model deployment experience in production environments Key Skills: Programming: Python (strong), SQL Cloud Platforms: GCP More ❯
and revenue teams Ensure models are production-ready using modern pipelines and tools Required Experience: Proven track record in time series forecasting (e.g., ARIMA, Prophet, LSTM) Strong experience with large datasets (e.g., traffic, engagement metrics) Model deployment experience in production environments Key Skills: Programming: Python (strong), SQL Cloud Platforms: GCP More ❯
high-autonomy environments Track record of building forecasting systems with measurable commercial or operational value Advanced Python proficiency and familiarity with libraries like XGBoost, Prophet, PyTorch, Scikit-learn Deep knowledge of MLOps , reproducibility practices, and scalable experimentation Experience deploying models with CI/CD pipelines, containerisation , and cloud tools (e.g. More ❯
and revenue teams Ensure models are production-ready using modern pipelines and tools Required Experience: Proven track record in time series forecasting (e.g., ARIMA, Prophet, LSTM) Strong experience with large datasets (e.g., traffic, engagement metrics) Key Skills: Programming: Python (strong), SQL Deployment Tools: Airflow, DBT, GitHub Collaboration Tools: JIRA, Slack More ❯
and revenue teams Ensure models are production-ready using modern pipelines and tools Required Experience: Proven track record in time series forecasting (e.g., ARIMA, Prophet, LSTM) Strong experience with large datasets (e.g., traffic, engagement metrics) Key Skills: Programming: Python (strong), SQL Deployment Tools: Airflow, DBT, GitHub Collaboration Tools: JIRA, Slack More ❯
