Data Scientist
DM for more info
I'm working with a leading tech company in London that's at the forefront of data science innovation. They're seeking a talented Data Scientist to join their dynamic team. This is an exciting opportunity to work on cutting-edge projects in a hybrid work environment.
Job Responsibilities:
- Develop and implement advanced machine learning models and algorithms
- Analyze large datasets to extract meaningful insights and drive business decisions
- Collaborate with cross-functional teams to translate business requirements into data science solutions
- Design and conduct experiments to test hypotheses and validate models
- Present complex findings to both technical and non-technical stakeholders
Technical Skills Required:
- Strong proficiency in Python and R for data analysis and modeling
- Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch
- Solid understanding of statistical analysis and data mining techniques
- Familiarity with big data technologies like Spark or Hadoop
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Plotly)
Nice to Have:
- Experience with cloud platforms (AWS, GCP, or Azure)
- Knowledge of NLP or computer vision techniques
- Familiarity with version control systems (e.g., Git)
Qualifications:
- MSc or PhD in Computer Science, Statistics, or related field
- 3+ years of professional experience in data science
- Strong problem-solving skills and attention to detail
- Excellent communication skills to present complex findings to diverse audiences
Compensation:
- Competitive salary range: £60,000 - £80,000 per annum, depending on experience
- Performance-based bonuses
- Equity options
- Comprehensive benefits including health insurance and pension plan
This is an excellent opportunity to work on challenging problems and make a significant impact through data-driven solutions. If you're passionate about data science and want to be part of an innovative team, please send me adirect messagewith your CV and a brief introduction. Alternatively, you canapply directly through this post. We look forward to hearing from you!
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