Data Scientist

Location: Darlington, Durham (Hybrid)

Salary: £30k - £40k + Excellent Benefits

Working Hours: 35 per week

The Client:

Our client is a renowned supplier of computerised systems for managing dangerous goods in sea transport, supporting global entities in shipping, distribution, warehouses, ports, and regulatory bodies.

The Role:

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

Responsibilities:

• 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.

Requirements:

• Previously worked as a Data Scientist 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.

Benefits:

• 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 opportunity to work with a dynamic team and further enhance your career.

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Keywords: Data Scientist, data analyst, Data Engineer, Python, Scala, statistical modelling, AWS, Azure, GCP