Data Scientist
5 days ago
Digital Data Scientist In our world things change by the millisecond.
With great resources, you'll get to be part of the leading team at the foundations of the transformation of our business.
Investing in infrastructure, we built a network that now connects 2.2 million customers nationwide, carrying more data than all of our competitors combined.
We encourage our employees to face their weaknesses, to really open themselves up to new challenges and projects in a super-charged and rich learning environment.
Recognising the value of data to our business, we are expanding the Advanced Analytics capability in Three Ireland.
This is an exciting time for the team as we grow and embark on our big data journey.
Join us as a Digital Data Scientist This opportunity will suit an experienced data scientist with a strong academic background, adept at stakeholder management and an appetite for working with many disparate sources and types of data.
You will join as a key member of the team with the opportunity to grow and develop your skills within a fast paced, exciting, data-rich environment.
Within the Analytics & Innovation team, we are passionate about driving insight and value from data.
The team work across a spectrum of exploratory analysis, feature engineering, data engineering, event prediction, data driven segmentation, deep dive analyses and development of bespoke solutions to meet business needs.
What it involves: Create and work with large digital datasets to extract value and insights Use statistical and data science techniques to explore data and identify patterns and trends Process, join and analyse data sources to create features which feed into analytical and machine learning pipelines Build predictive models and data science solutions Collaborate with various teams to understand their data needs and help them make informed decisions based on data insights Conduct deep dive analyses and make recommendations to help with business decision-making Create dashboards to visualise insights for stakeholders Research and implement new techniques in data science/web analytics to make analytical solutions more impactful The skills we're looking for: Degree in a quantitative discipline such as Mathematics, Statistics, Computer Science Solid understanding of statistics, machine learning and data science principles Experience in processing, analysing and extracting value from large datasets containing both structured and unstructured data Proven experience in Python and SQL Experience working with web analytics data (Adobe/Google Analytics) is desirable Familiarity with reporting and visualisation tools (e.g.
Tableau, Power BI, Cognos) Excellent communication and stakeholder & project management skills Ability to explain technical concepts to non-technical audiences Attention to detail and collaborative mindset Degree in a quantitative discipline such as Mathematics, Statistics, Computer Science Digital (Google or Adobe) experience desirable but not essential.
Other Self-motivated individual with desire to be the best Attention to detail and accuracy An interest in data engineering desirable Excellent interpersonal skills Strong communication skills both written and verbal Innovative and results driven Team-oriented, collaborative approach & attitude Well organised, process oriented, with ability to prioritise Strong MSOffice (Excel and PowerPoint in particular) skills Results based approach Benefits of Working at Three Flexible working with our new Hybrid model, our employees will enjoy more flexibility working from home and our office locations (2/3 days per week office based).
Please see job description for the office location of this role.
Competitive salary, annual performance bonus & pension contribution 25 days holidays plus 2.5 company days Annual Leave buy or sell (buy or sell up to 5 days AL each year) Healthcare Insurance through our flexible benefits programme.
Life assurance, phone & laptop, subsidized canteen Access to learning & development tools such as LinkedIn Learning Free on-site parking There's a lot more to us than meets the eye.
We embrace those of any race, gender identity, sexual orientation, age, religion, disability, marital status, family status, civil status or membership of the traveler community, and we want our teams to reflect this
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