An exciting opportunity has arisen for a Data Scientist to join arenowned supplier of computerised systems for managing dangerous goods in sea transport. This role offers excellent benefits , hybrid working option and a salary range of £30,000 - £40,000 for 35 hours work week.

As a Data Scientist, you will analyse large, complex datasets to uncover patterns, trends, and correlations.

You will be responsible for:

Apply statistical techniques to clean, preprocess, and transform raw data.
Conduct exploratory data analysis to reveal insights and extract key features.
Develop and deploy advanced machine learning algorithms and statistical models for business solutions.
Create predictive models for forecasting metrics, detecting anomalies, and optimising decisions.
Refine models to enhance accuracy, efficiency, and scalability.
Collaborate with cross-functional teams to define and monitor key performance indicators (KPIs).
Partner 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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