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Data Scientist

Tribal Tech - The Digital, Data & AI Specialists
London
7 months ago
Applications closed

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Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - £80,000 - Hybrid - London

Data Scientist

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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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