Job Title: Data Scientist
Location: Fully Remote UK
Job Type: 6-Month Contract with the possibility of extension
Interview Process: Remote video interviews
Rate: DOE, Outside IR35
A Microsoft partnered IT consultancy is seeking a talented and motivated Data Scientist with experience in machine learning and a strong Azure background to join their team. The project entails assisting a private equity client within their risk management and portfolio optimisation vertical.
Key Responsibilities for the Data Scientist Role:
* Collaborate with business stakeholders to design, develop, and implement data-driven solutions tailored to business needs, such as client segmentation, price forecasting, and risk optimisation.
* Build and deploy machine learning models to support key corporate functions, including execution strategies, supply chain analysis, and market behaviour prediction.
* Develop scalable and reusable tools to streamline the deployment and monitoring of data science solutions across financial operations.
* Work closely with engineers to integrate machine learning models into and financial platforms.
* Analyse large datasets, including transactional and customer data, to uncover actionable insights that drive business decisions.
* Establish best practices for data processing, feature engineering, and model evaluation within a private equity context.
Key Skills and Qualifications:
* Strong understanding of the data science lifecycle, including data exploration, feature engineering, model development, and deployment.
* Proficiency in Python, with experience in libraries and frameworks such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
* Expertise in statistical analysis, probability, and machine learning techniques relevant to energy, such as time series forecasting and recommendation systems.
* Strong background Azure, with hands-on experience deploying and managing solutions in this platform.
* Familiarity with containerisation technologies like Docker and orchestration tools such as Kubernetes.
* Excellent communication skills, with the ability to translate complex data insights into actionable recommendations for non-technical stakeholders.
If you’re a skilled Data Scientist with a passion for applying your expertise in this space, we’d love to hear from you—apply today!
Alternatively connect with me on LinkedIn for more opportunities in this space - (23) Ryan Kwarteng | LinkedIn