Data Scientist implementing data science applications for various clients. Join a consultancy focused on digital transformation and tech4good projects in a hybrid environment.
Responsibilities
Senior Data Scientists enable the design, development, integration and testing of complex, high-quality data science solutions and services to meet user needs, continually improving the application of best practice patterns, methods and tools.
Build effective working relationships with client counterparts in your practitioner domain, and those of a partner / 3rd party organisation.
Own the end-to-end implementation and design of data science models/components, seeking guidance and input from Lead and Principal Data Scientists where necessary.
Help structure and provide technical assurance for the work of less experienced practitioners, enabling them to maximise quality and velocity. Monitor the application of the methods and requirements, pro-actively managing technical risks and issues.
Collaborating with practitioners from other disciplines (e.g. UCD, Engineering) to ensure the solution meets user and business needs.
Take technical responsibility for the delivery of high-quality data science services on smaller engagements, across all stages (design, build, test, deploy, operate and continually improve), in line with best practice.
Work with Delivery Managers to inform estimates for research and development activities, enabling them to plan technical activities, including how teams and work should be structured.
Proactively identify and help mitigate technical risks, issues, assumptions and dependencies.
Maintain relevant, up-to-date practitioner skills through training and accreditation, including a domain-relevant accreditation/certification at professional level.
Being an active member of the Data Science discipline, identifying area for growth across the business, and providing coaching for less experienced practitioners.
Requirements
Background in Agile delivery environments, delivering software solutions in controlled increments (e.g., following Scrum, Agile Delivery phases, etc.).
Experience working with cloud-based solutions and technologies (Google Cloud Platform, AWS, Azure).
Hands-on knowledge of designing and implementing solutions capable of handling sensitive data (e.g., Personally Identifiable Information).
Strong knowledge of a programming languages for data science (Python, R, etc.) including best practices using this language to write robust software.
An understanding of data governance and best practices to ensure data protection.
Experience planning technical activities and structuring work for a team.
Being able to provide commercially robust estimates of development activities.
Experience providing practitioner guidance to junior colleagues and peers.
Understanding of how to operationalise and deploy a Data Science solution in a live environment.
Industry leading health and wellbeing plan – We partner with several wellbeing support functions to cater to each individual’s need, including 24/7 GP services, mental health support and physical health support.
Hybrid working*
Private Health Care Cover*
Generous life assurance cover*
Gym Membership*
Monthly office lunch
Onsite massage sessions
25 paid working days holiday per year plus bank holidays*
Sabbatical Leave Scheme*
Enhanced Maternity Leave and Pay*
Enhanced Paternity Leave and Pay*
Company Pension Contribution
Profit Share Scheme
Payment of professional subscriptions
Generous referral scheme with no limits on the number of referrals
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