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Data Insights Specialist
2 months ago
We are seeking a highly skilled and driven Data Insights Specialist to join our talented team at Lu4 and drive data-driven decision making across our organisation. In this role, you will be responsible for extracting valuable insights from complex data sets, building predictive models, and translating findings into actionable recommendations for business growth and improvement.
As a Data Insights Specialist, you will be part of a strong and dynamic team within a FTSE100 organisation with a strong investment backing and a culture set up towards data-driven decision making.
- **Key Responsibilities:**
- Gather, clean, and analyse data from various sources to uncover meaningful patterns and trends that can inform business strategy and drive growth.
- Develop and implement machine learning models to solve business problems, such as forecasting, customer segmentation, and process optimisation, to improve operational efficiency and reduce costs.
- Collaborate with cross-functional teams to understand business challenges and translate them into data-driven solutions that drive business outcomes.
- Stay up-to-date with the latest data science tools, techniques, and industry best practices to ensure our data infrastructure and analytics capabilities remain cutting-edge.
- Contribute to the development and enhancement of our data infrastructure and analytics capabilities to support business growth and improvement.
**Requirements:**
- Bachelor's degree in a quantitative field such as Mathematics, Statistics, or Computer Science.
- 2-3 years of experience as a Data Scientist or Analyst, preferably in a business-facing role.
- Strong proficiency in Python programming and data manipulation libraries (e.g., Pandas, NumPy).
- Excellent analytical and problem-solving skills, with the ability to translate data into actionable insights that drive business outcomes.
- Good understanding of statistical modelling and machine learning techniques.
**Desirable Skills:**
- Experience with data visualisation tools like Databricks, Power BI, or Tableau.
- Familiarity with agile software development practices.