
Machine Learning Specialist
1 week ago
Unlock the Power of Data ">
The Role: We are seeking an experienced Data Scientist to join our team. As a Data Scientist, you will play a crucial role in designing and implementing data-driven solutions that drive business outcomes.
">The Responsibilities:
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- Develop and deploy machine learning models to resolve organisational challenges and enhance operational efficiency. ">
- Analyse large-scale datasets to identify trends, patterns, and actionable insights for decision-making. ">
- Collaborate with cross-functional teams to translate business requirements into practical analytical solutions. ">
- Design and execute statistical analyses and experiments (such as A/B tests), presenting conclusions to evaluate initiatives. ">
- Create dashboards and visualisations to communicate findings to non-technical stakeholders across different functions. ">
- Lead efforts to optimise existing machine learning models and introduce innovative algorithms. ">
- Propose and establish best practices for statistical analysis and machine learning. ">
Requirements:
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- Bachelor's degree in Computer Science, Software Engineering, Mathematics, Physics, or a related field with at least 1 year of experience in data science or machine learning roles. ">
- Expertise in Python and machine learning frameworks such as TensorFlow or PyTorch for developing and optimising models. ">
- Understanding of advanced analytical methods and causal inference to design and conduct impactful experiments. ">
- Hands-on experience with tools like Spark to process and analyse large-scale datasets. ">
- Solid command of SQL for querying and working with relational databases. ">
- Use visualisation tools to craft dashboards and communicate insights to stakeholders. ">
- Analytical methods to troubleshoot model performance and draw meaningful conclusions. ">
- Experience working in cross-functional environments, with the ability to align analytical solutions with business needs. ">
What We Offer:
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- A dynamic and collaborative work environment. ">
- Ongoing training and development opportunities. ">
- A competitive salary and benefits package. ">
- The opportunity to work on challenging projects and make a real impact on the business. ">
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