**Unlock Business Insights with Advanced Analytics**
We are seeking a skilled Data Scientist to help our client unlock the value in their data through cutting-edge analytics and machine learning.
This is an exciting opportunity to join a growing tech business that works with some of the world's leading mobile network companies. The company has just been awarded two major contracts with international Mobile Network Operators and is looking for a talented Data Scientist to contribute to their growth and success.
The successful candidate will have a strong background in commercial Data Science, with experience working with large datasets and data wrangling techniques. They will be proficient in Python, including libraries like pandas, scikit-learn, TensorFlow or PyTorch, and have a solid understanding of machine learning algorithms, data modelling, and statistical analysis.
The ideal candidate will have hands-on experience working with cloud-based environments, particularly AWS, and be comfortable with SQL and working with relational and non-relational databases. They will also have experience deploying models into production environments and working with APIs.
In addition to technical skills, the successful candidate will have excellent problem-solving and communication skills, with the ability to work closely with software engineers and data engineers to ensure end-to-end data flow and model integration.
We are looking for a Data Scientist who is passionate about delivering business value through data-driven insights. If you have a proven track record of driving business outcomes through data science, we would love to hear from you.
Key responsibilities for the role include:
* Analysing large volumes of structured and unstructured data to extract meaningful insights.
* Developing predictive models and machine learning algorithms to support business goals.
* Building and deploying data science solutions into production environments.
* Working closely with software engineers and data engineers to ensure end-to-end data flow and model integration.
* Creating dashboards, reports, and visualisations to communicate findings to both technical and non-technical stakeholders.
Required skills and qualifications:
* Proven experience in a commercial Data Science role.
* Strong proficiency in Python (including libraries like pandas, scikit-learn, TensorFlow or PyTorch).
* Solid understanding of machine learning algorithms, data modelling, and statistical analysis.
* Hands-on experience working with large datasets and data wrangling techniques.
* Familiarity with cloud-based environments, particularly AWS.
* Comfortable with SQL and working with relational and non-relational databases.
* Experience deploying models into production environments and working with APIs.
This is an exciting opportunity to join a dynamic team and contribute to the growth and success of our client.
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