An exciting opportunity has arisen for a
Data Scientist
to join a renowned supplier of computerised systems for managing dangerous goods in sea transport. This role offers excellent benefits, hybrid working options, and a salary range of £30,000 - £40,000 for a 35-hour work week. As a
Data Scientist , you will analyse large, complex datasets to uncover patterns, trends, and correlations. You will be responsible for: Applying statistical techniques to clean, preprocess, and transform raw data. Conducting exploratory data analysis to reveal insights and extract key features. Developing and deploying advanced machine learning algorithms and statistical models for business solutions. Creating predictive models for forecasting metrics, detecting anomalies, and optimising decisions. Refining models to enhance accuracy, efficiency, and scalability. Collaborating with cross-functional teams to define and monitor key performance indicators (KPIs). Partnering with data engineers, business analysts, and product managers to identify data needs and align on project goals. What we are looking for: Previously worked as a Data Scientist, Data Analyst, Data Engineer, or in a similar role. Knowledge of statistical modelling techniques, machine learning algorithms, and data visualisation tools (e.g., TensorFlow, scikit-learn, Tableau). Skilled in programming languages like Python, R, or Scala, with expertise in data manipulation and analysis libraries (e.g., pandas, NumPy). Excellent problem-solving abilities with the capacity to convert business requirements into analytical solutions. Experience with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark) would be beneficial. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and knowledge of database systems (SQL, NoSQL) would be preferred. What's on offer: Life Assurance Death in service Simply Health Cash Back scheme 5% employee pension contribution 4% company pension contribution Discretionary Bonus based on company performance Pluralsight Licence with half a day per week for personal development Apply now for this exceptional Data Scientist opportunity to work with a dynamic team and further enhance your career.
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Data Scientist
to join a renowned supplier of computerised systems for managing dangerous goods in sea transport. This role offers excellent benefits, hybrid working options, and a salary range of £30,000 - £40,000 for a 35-hour work week. As a
Data Scientist , you will analyse large, complex datasets to uncover patterns, trends, and correlations. You will be responsible for: Applying statistical techniques to clean, preprocess, and transform raw data. Conducting exploratory data analysis to reveal insights and extract key features. Developing and deploying advanced machine learning algorithms and statistical models for business solutions. Creating predictive models for forecasting metrics, detecting anomalies, and optimising decisions. Refining models to enhance accuracy, efficiency, and scalability. Collaborating with cross-functional teams to define and monitor key performance indicators (KPIs). Partnering with data engineers, business analysts, and product managers to identify data needs and align on project goals. What we are looking for: Previously worked as a Data Scientist, Data Analyst, Data Engineer, or in a similar role. Knowledge of statistical modelling techniques, machine learning algorithms, and data visualisation tools (e.g., TensorFlow, scikit-learn, Tableau). Skilled in programming languages like Python, R, or Scala, with expertise in data manipulation and analysis libraries (e.g., pandas, NumPy). Excellent problem-solving abilities with the capacity to convert business requirements into analytical solutions. Experience with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark) would be beneficial. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and knowledge of database systems (SQL, NoSQL) would be preferred. What's on offer: Life Assurance Death in service Simply Health Cash Back scheme 5% employee pension contribution 4% company pension contribution Discretionary Bonus based on company performance Pluralsight Licence with half a day per week for personal development Apply now for this exceptional Data Scientist opportunity to work with a dynamic team and further enhance your career.
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