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Data Analytics & AI – Data Science – Manager
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
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.
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.
Skills And Attributes For Success
To qualify for the role;
- 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.
The following will be an advantage;
- 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 We Look For
We’re interested in candidates with a genuine creative vision and the confidence to make it happen. You can expect plenty of autonomy in this role, so you’ll also need the ability to take initiative and seek out opportunities to improve our current relationships and processes. If you’re serious about auditing and ready to take on some of our clients’ most complex issues, this role is for you.
What We Offer
- Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
- Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
- Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
- Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
The Exceptional EY Experience. It’s Yours To Build.
Apply now.
Please note;
Prior to finalizing your application, you will be asked to provide personal information across several dimensions of diversity and inclusiveness. The information you provide is kept entirely confidential and will not be used to evaluate your candidacy. We collect this data to help us analyse our recruitment process holistically and implement actions that promote diversity and inclusiveness. While optional, we encourage you to provide this information to hold us accountable towards our goal of building a better working world. Read more about our commitment to diversity& inclusiveness here . We ask because it matters!
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
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.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
