Data Scientist
New
Fully Remote - UK and EUContractMiddle
Salary not disclosed
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Job Details
- Required Skills
- PythonMachine LearningNumpyPandasDatabricksRDeep LearningNLPGenerative AI
Requirements
- Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or a related field.
- Proven experience as a Data Scientist, with a strong track record of delivering impactful data-driven solutions.
- Strong knowledge of both Generative AI and traditional AI techniques, including deep learning, natural language processing, and statistical modeling.
- Proficiency in programming languages such as Python or R.
- Experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn).
- Experience using Databricks for data science work.
- Strong problem-solving skills and the ability to think critically and creatively to develop innovative data-driven solutions.
- Excellent communication and collaboration skills.
- Strong attention to detail and the ability to work independently and manage multiple projects simultaneously.
- Experience working in a collaborative, cross-functional team environment.
Responsibilities
- Collaborate with data experts and stakeholders to understand business objectives and identify opportunities for leveraging data to drive decision-making and business growth.
- Design and implement advanced data models, algorithms, and statistical analyses to extract meaningful insights from large and complex datasets.
- Develop and deploy machine learning models using Databricks for predictive analytics, anomaly detection, and other data science applications.
- Conduct exploratory data analysis to identify patterns, trends, and correlations in the data, and communicate findings to both technical and non-technical stakeholders.
- Stay up to date with the latest advancements in data science, AI, and machine learning techniques, and proactively identify opportunities to apply them to business challenges.
- Mentor and provide guidance to junior data scientists, sharing best practices and fostering a culture of continuous learning and improvement.
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