General information
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Job Title |
Data Scientist |
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Location |
Dublin |
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Reporting To |
Data Science Manager |
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Department |
Data Monetisation and Management |
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www.linkedin.com/company/ckdelta |
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Website |
www.ckdelta.ie |
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Employment Status |
Permanent |
Background
CK Hutchison Holdings Limited (CK Hutchison) is a multi-national conglomerate committed to innovation and technology, with operations in over 50 countries and employing approximately 300,000 employees worldwide. CK Hutchison’s operations consist of six core businesses – ports and related services; retail; energy; infrastructure; telecommunications; and finance & investments and others. In Europe, CK Hutchison has investments in 23 European countries, and currently employs more than 125,000 employees.
CKDelta is CK Hutchison’s data innovation company. Our mission is to deliver long-term sustainable value through innovative applications that leverage data assets from across the CKHH Group. To do this we combine wide variety of datasets from the group companies to create new products to be used internally and externally.
Key Purpose of Role
· Be part of the data science team to transform data into actionable insights.
Key Responsibilities / Tasks
· Work with the rest of the data science team collaborating with the data engineering and product team to ideate and define machine learning and AI application across different businesses;[AZ1]
· Supporting and owning activities associated with the creation, implementation, and evaluation of the predictive analytics models/machine learning solutions;
· Support the productionisation of existing and new data science projects
· Sharing ideas with the team and contributing to the strategic goals.
Qualifications
· Bachelor or Master’s degree in a related field, e.g.: computer science, data analytics, statistics, applied mathematics.
Experience & Expertise
Essential:
· Excellent analytical and reporting skills with a very strong background in data science/machine learning/statistics;
· Solid experience in software development to support the productionalisation activities of the models though the full stack.
· Experience in data modelling and SQL development;
· Experience using statistical programming languages (Python preferred) to manipulate data and draw insights from large data sets for deep dive analysis;
· Proven experience dealing with large amounts of data;
· Direct experience with the entire data science project lifecycle, including requirements gathering, design, implementation, evaluation, testing, deployment, and presentation of results;
· Practical experience using machine learning and analysis techniques (clustering, regression, decision trees, optimisation, artificial neural networks, ensemble algorithms, time series, etc.) and assessing their real-world advantages, drawbacks, and ideal usage scenarios;
· Experience in working in cross-functional teams in a fast-paced customer-focused and dynamic environment.
· Experience in productionalisation and dev-ops approaches.
Desirable:
· Experience with Tableau or any other visualisation tool.
· Experience with version control systems (git preferred)
Skills & Approach:
- Self-motivated, highly organised individual able to work well with all levels in the organisation;
- Excellent communication skills and the ability to present solutions to both technical and non-technical stakeholders;
· Strong problem-solving skills;
- Ability to effectively deliver the results of data analysis/solution design to both technical and non-technical stakeholders;
- Ability to work as part of the team and as your own entity on several projects simultaneously;
- Excellent problem solving, data analysis and statistical skills;
- Good ability to clearly document information;
- Presentation skills;
- Data Visualisation skills;
- Flexible and self-sufficient in the working environment.
