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Data Analyst - Time Series - On site or fully remote - UK wide

MRP Technology Ltd

Posted on Oct 1, 2021 by MRP Technology Ltd

London, United Kingdom
Immediate Start
Annual Salary

Data Analyst - Time Series - On site or fully remote - UK wide or International

MRP Global is looking for a contract Data analyst, Scientist, engineer with exposure to time series forecasting or similar.

12 month + contract ..5 year programme. All Nationals welcome to apply. UK, Polish, Indian, Spanish residents would be very interesting.

My prestigious client are a leading international end client looking for a Data Analyst Scientist with extensive knowledge within Python, R programming and Machin Learning. They need an additional resource to help with models' developments, forecasting algorithms, intervention analysis and simulations. The overall goal of these projects is to utilise the data captured to augment the team's ability to understand the effect of promotional activities and cannibalization on orders, consumption and revenue.

The Data scientist should have;
Proven extensive experience developing and implementing Machine Learning algorithms on large data sets
Strong knowledge in Python and R 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) Strong experience with Causal inference, Intervention analysis, Counterfactuals Estimation and Scenarios simulation
Solid experience with Probabilistic Programming and Bayesian Methods
Experience in Python programming for Data Science (pandas, numpy, sklearn, statsmodels)
Experience in mining large & very complex data sets using SQL and Spark
Have in depth understanding of statistical modelling techniques and the mathematical foundations of applied ML and AI algorithms and models
Have a good working knowledge cloud-based data science frameworks and toolkits.
Working knowledge of Azure is preferred
Strong experience in ML life cycle management.
Working knowledge of mlflow is preferred
Are experienced in Agile methodologies and the hypothesis-driven approach
Have a deep knowledge of a sufficiently broad area of technical specialism (eg Machine Learning, Optimisation, Applied Mathematics, Simulation, Bayesian Methods etc.), and are a valued and trusted expert

You will be responsible for;
Contribute to all aspects of the Data Science Project Lifecycle from scope through to production
Provide leadership and guidance on monitoring ongoing data quality and model performance
Own and define the key performance indicators (KPIs) and diagnostics to measure performance against business goals
Compile, integrate, and analyse data from multiple sources to answer business questions
Conceptualize, formulate, prototype and implement algorithms to solve business problems

Reference: 1341811845

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