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.
Whats 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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