Data Analytics & AI - Data Science - Senior Manager General Information Location: Belfast Business Area: EY Data, Analytics & AI Ireland Contract Type: Full-Time - Permanent EY exists to build a better working world, we empower our people by offering the culture, tech, teams, scale, challenges, learning, and the relationships for you to personalise and build your career, helping to create long-term value for clients, people and society and build trust in the capital markets. This role can be located in our offices across the Republic of Ireland, working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. The Team and the opportunity As part of our Data Analytics and AI team, the Data Scientist role is pivotal in enabling our clients to derive significant value from their information assets. Through collaboration and domain expertise, our team embeds innovative data analytics solutions into existing business areas, transforming data into strategic assets. We are looking for a Data Scientist who is passionate about leveraging data to solve complex problems and drive business outcomes. You will play a key role in driving growth by developing new and existing client relationships and delivering first-class customer experience on high-profile engagements. The Data Analytics and AI team serve as trusted advisors, both practical and innovative, to embed innovative data analytics solutions into existing business areas and transforming data into strategic assets. Working across all industries, you'll develop your career by communicating creative, strategic goals both internally and externally. As a manager, the opportunity to assess and improve our clients' reporting policies and corporate governance processes will impact these ever-challenging areas during transformational and regulatory changes. Your key responsibilities Collaboration: The ability to work closely with cross-functional teams to develop, test, and deploy advanced machine learning models, ensuring alignment with business objectives and seamless integration into client operations. Data Analysis: The capability to analyse large and complex datasets to extract actionable insights. Your analytical skills will be key in identifying trends, patterns, and anomalies that can inform business strategies. Data Pipeline Management: Be able to design, implement, and maintain data pipelines that are critical for model training and deployment. Your expertise will ensure the reliability and efficiency of our data infrastructure. Communication: The skill to effectively communicate complex analytical findings and model results to stakeholders, translating data-driven insights into business language that informs decision-making. Continuous Learning: The ability to stay informed of the latest advancements in data science, including techniques and tools, to ensure our team remains at the cutting edge of the field. Understand key business drivers within an organization and help to articulate and quantify the value that data and AI can deliver. To qualify for the role, you must have. 7 years of hands-on experience in building and deploying machine learning or deep learning models in real-world applications. A completed degree (bachelors, masters, or PhD). Excellent leadership and organisational skills, with a track record of developing and leading high-performing teams. Proficiency in Python, SQL, and deep learning frameworks such as TensorFlow and PyTorch. Experience with R is a nice-to-have. A strong foundation in statistics, mathematics, and programming is essential for success in this role. Ideally, you will also have Problem-Solving: Ability to translate business assumptions and rules into feature engineering and model explainability, addressing business problems with data-driven solutions. Collaborative Development: Work under the guidance of senior data scientists and solution architects to build models that align with strategic visions and client needs. What working at EY offers We offer a competitive remuneration package. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings, and a wide range of discounts, offers and promotions. Plus, we offer: Support and coaching from some of the most engaging colleagues around Opportunities to develop new skills and progress your career. The freedom and flexibility to handle your role in a way that's right for you. All our employees are given a benefits package which they can tailor to suit their individual preferences. Our range of benefits include: Pension Maternity & Paternity leave Discounted health insurance Bike to work Scheme Web Doctor - Free unlimited online GP consultations for you and your family Recognition Awards The purchase of additional annual leave Cash incentives for referrals Hybrid Working Work Mobile Free Gym membership TECH MBA paid by EY Travel Pass Wellness rooms Available in some offices EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance. Career Progression When you join EY, you will be supported to ensure that you are enhancing your skills from day one. Continuous learning, where you can develop the mindset and skills to navigate whatever comes next. As you grow and develop here, you'll discover opportunities to help customise your career journey, so that it's as unique as you are - success is defined by you, we will provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership, we will give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture, you will be embraced for who you are and empowered to use your voice to help others find theirs. We have embraced Hybrid working at EY adding greater flexibility and autonomy to the roles of our employees. About EY As a global leader in assurance, tax, transaction, and advisory services, we're using the finance products, expertise and systems we've developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. Inclusion & Diversity hold a collective commitment to foster an environment where all differences are valued and respected, practices are equitable and everyone experiences a sense of belonging: Inclusion, diversity, and equity are part of who we are at EY. We believe that the highest-performing teams maximize the power of different perspectives and backgrounds. These teams are both diverse and inclusive and are willing to invite and learn from other perspectives. Our ability to include various viewpoints into our mindsets, behaviours and operations is fundamental to driving innovation, building strong relationships, and delivering the best solutions for our clients. We recognise the strength that comes from having a diverse workforce and building a culture where we support all our people to achieve their potential. You'll be embraced for who you are and empowered to use your voice to help others find theirs. As an equal opportunities' employer, we welcome applications from people of all backgrounds. Reasonable accommodations are offered at every stage of our recruitment process. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. That's Why, EY. To be considered for this role you will be redirected to and must complete the application process on our careers page. To start the process click the Apply button below to Login/Register.