Job Title:SeniorData ScientistContract Duration: 12 Month Rolling ContractWork Arrangement: 2 Days Onsite WeeklyLocation: Leopardstown, DublinYears ofExperienceNeeded: Minumum 8 years +Job DescriptionAre you an experienced data scientist with a passion for technological innovation, a can-do attitude, and a strong sense of ownership? Join our team to assist in the design and development of a world-class unified platform, enabling Small and Medium Enterprises globally. This is a unique opportunity to own the development of machine learning models and business intelligence projects, working closely with cross-functional teams to drive data-driven decision making throughout the organisation.ResponsibilitiesAnalyse various data sources to deliver data-driven and actionable insights for small and medium-sized enterprises.Develop sophisticated multivariate models and analytic solutions, utilising complex statistical and data science techniques and methods.Work independently with ambiguous requirements and proactively identify opportunities for insights from the data.Communicate effectively with cross-functional teams and business partners to leverage insights from data.Essential SkillsAbility to combine, interrogate, and manipulate large data sets using big data tools such as Hadoop and Spark.Extensive Experience in using common programming languages, preferably Python, and different statistics and machine learning libraries.Understanding of trade-offs between different machine learning model validation metrics to achieve optimal model performance.Knowledge of version control systems such as Git.Ability to communicate statistical findings to business partners and translate them into business insights.7+ years ExperienceGen AI & Agentic AI ExperienceAdditional Skills & QualificationsExperience with BI visualisation tools like Tableau, Domo, or Power BI.Experience in optimising big data ETL pipelines.Experience in deploying machine learning models to cloud-based production environments.Experience with Databricks and Generative AI applications in commercial settings.Background in the financial industry.Solid foundation in software engineering, focusing on maintaining high code quality, effective version control, and rigorous testing practices.Why Work Here?We offer a dynamic work environment where innovation and collaboration are key. Our team is committed to fostering a culture of continuous learning and professional growth. You will have the opportunity to work on cutting-edge projects that make a real impact on small and medium-sized enterprises worldwide, all while enjoying a supportive and flexible work environment.Work EnvironmentYou will work in a technologically advanced environment utilising tools like Hadoop, Spark, and Python. Our team values flexibility and collaboration, offering a mix of remote and in-office work options. Expect a supportive atmosphere where innovation is encouraged, and professional development is a priority.LocationDublin, IrelandTrading as TEKsystems. Allegis Group Limited. Level 1, The Chase, Carmanhall Road, Sandyford, Dublin 18, Ireland. No TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.