Data Scientist working at HP analyzing complex data sets using statistical techniques. Developing data - driven models and insights to improve organizational performance while mentoring project teams.
About the role
- Junior Data Scientist at Vidoori leveraging data to support decision-making and innovation. Collaborating within a diverse team in a supportive environment for continuous growth.
Responsibilities
- Work closely with senior data scientists, business stakeholders, and technology teams to understand project objectives and translate them into analytical solutions.
- Collect, clean, and process structured and unstructured datasets from various sources to ensure data quality and usability.
- Develop, test, and implement predictive models, statistical analyses, and machine learning algorithms under the guidance of senior team members.
- Visualise data and insights through dashboards and reporting tools to communicate findings effectively to both technical and non-technical audiences.
- Document data pipelines, methodologies, and analytical processes to ensure transparency and reproducibility of results.
- Support the deployment and monitoring of models in production environments, assisting with performance tracking and iterative improvement.
- Stay abreast of new data science tools, technologies, and trends, contributing new ideas to evolve team capabilities.
- Actively participate in data science knowledge sharing initiatives and team learning sessions.
Requirements
- Degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or relevant practical experience.
- Proficiency in Python and familiarity with data science libraries such as Pandas, NumPy, and scikit-learn.
- Understanding of statistical concepts, machine learning algorithms, and data visualisation best practices.
- Basic experience with data analysis, manipulation, and exploratory data analysis techniques.
- Ability to communicate analytical results clearly to non-technical colleagues and stakeholders.
- Attention to detail, strong organisational skills, and a problem-solving mindset.
- Desire to learn, adapt to new challenges, and receive mentorship from experienced data practitioners.
Benefits
- Competitive salary and benefits designed to give you security and flexibility.
- Flexible, hybrid, and supportive working arrangements to promote work–life balance.
- Inclusion in a diverse, encouraging team where curiosity and learning are valued.
- Structured mentoring from senior data scientists and technology leaders.
- Opportunities for advancement and professional development within data science, data engineering, or analytics specialisms.
- Involvement in varied client projects, enabling you to deepen technical expertise and industry knowledge.
Job title
Job type
Experience level
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Not specified
Degree requirement
Tech skills
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