At a Glance
- Tasks: Uncover trends and insights through data analysis and machine learning.
- Company: Join a forward-thinking company that values data-driven decision-making.
- Benefits: Competitive salary, flexible hours, and opportunities for continuous learning.
- Other info: Dynamic team environment with great potential for career growth.
- Why this job: Make a real impact by optimising business performance with your data skills.
- Qualifications: Experience in data science, machine learning, and programming languages like Python or R.
The predicted salary is between 45000 - 60000 Β£ per year.
The Data Scientist supports the development and implementation of data-driven solutions to solve business challenges and enable informed decision-making. The role involves exploratory data analysis, predictive modelling, and collaboration with cross-functional teams to deliver actionable insights.
This position focuses on applying statistical techniques and machine learning methodologies to improve business performance, with opportunities for continuous learning in a fast-paced environment.
- Perform exploratory data analysis (EDA) to uncover trends, anomalies, and opportunities.
- Develop and validate machine learning models (regression, classification, clustering, etc.).
- Translate business requirements into data science use cases and analytical solutions.
- Deliver actionable insights to drive optimisation, efficiency, and performance improvement.
- Support decision-making through data-backed recommendations.
Experience in data science / advanced analytics environments:
- Hands-on experience with machine learning techniques and statistical modelling.
- Experience working with programming languages such as Python, R, SQL.
- Exposure to cloud platforms (Azure, AWS, GCP) and big data ecosystems.
- Experience in data visualisation tools (Power BI, Tableau).
- Strong understanding of data modelling, machine learning frameworks, and statistical analysis.
- Proficiency in Python libraries (Pandas, NumPy, Scikit-learn).
- Experience working with structured and unstructured data.
- Strong attention to detail and data-driven decision-making.
- Experience in Azure and Databricks and ML model development & deployment.
- Experience in Tableau or similar visualisation tools.
Marketing Data Scientist in London employer: Wipro
As a leading employer in the data science field, we offer a dynamic work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and hands-on experience with cutting-edge technologies, all while being part of a supportive team that values data-driven decision-making. Located in a vibrant area, our company not only prioritises professional development but also promotes a healthy work-life balance, making it an ideal place for passionate individuals looking to make a meaningful impact.