Data Analyst and Machine Learning Specialist
2 days ago
About the Job
We are looking for a skilled Data Analyst and Machine Learning Specialist to join our team at Snaphunt. The ideal candidate will have experience in data analysis and machine learning, with a strong understanding of statistical modeling and data visualization.
About Us
Our client is a leading prop trading firm and trading education provider based in London. We offer a challenging and rewarding work environment with opportunities for career advancement.
Job Description
- Developing scripts to process structured and unstructured data.
- Recommending, developing, and implementing ways to improve data reliability, efficiency, and quality.
- Supporting translation of data business needs into technical system requirements.
- Working with stakeholders to understand needs regarding data structure, availability, scalability, and accessibility.
- Defining, developing, and maintaining reports to support decision making.
- Processing and interpreting data to get actionable insights.
- Working closely with business users to understand their data analysis needs/requirements.
- Developing high-quality code to build and deploy machine learning models.
- Identifying trends, doing follow-up analysis, preparing visualizations.
Requirements
- A degree in Computer Science, Applied Mathematics, Engineering, or related field.
- At least 3 years' experience, preferably within a Data Analyst or Data Engineer role.
- Demonstrated experience working with large and complex data sets as well as experience analyzing volumes of data.
- Good presentation and communication skills and the ability to present findings clearly and accessibly in the form of reports and presentations to senior colleagues.
- Working knowledge of Artificial intelligence.
- Highly goal-driven and work well in fast-paced environments.
- Strong analytical skills and comfortable dealing with numerical data.
Benefits
- An estimated salary of £80,000 - £100,000 per annum, depending on experience.
- Flexible working options.
- A dynamic and collaborative work environment.
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