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SalaryData Scientist - 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.
We live in a data rich world and more & more of our personal and business interactions are being guided by the application of advanced analytics and artificial intelligence (AI). At EY, we are helping organisations transform, to continually improve the way they do business to enable them to be at the forefront of their market. We are doing this by defying the norm and giving them the tools and knowledge to become insight focussed and data enabled.
As an experienced Data Scientist & AI Engineer you know that Analytics is not just a technical discussion, rather it is a combination of the technical and domain knowledge, aimed at the right business audience. At EY we have the right market access and business relationships, so when we combine it with your passion & talent for AI, we really can make a better working world.
We have a fast-growing Data & Analytics practice within Advisory, where Data Science & AI Engineers are at the tip of the spear for driving growth. Whether you are an expert in computer vision, have a passion for NLP, love playing with Graph we would really like to hear from you. We also believe all sector experience has something to offer, so whether you are Telco or FS, Consumer Products or Utilities, it will all add to the richness of services we can offer our clients.
Your Responsibilities
The nature of this role means no two projects will be the same. That means you’ll need to think on your feet and challenge existing practices to develop answers to complex issues. You’ll also be collaborating with colleagues across multiple service lines, so we’ll look to you to build relationships and identify opportunities for our clients to benefit from our knowledge in other areas. Occasional travel may be necessary as you will be meeting with key clients, some of whom are the most respected in their fields.
- Working with diverse teams with varying skillsets, who use different Data and Analytics technologies.
- Statistical analysis and modelling languages such as Python, R or similar tools would be preferrable.
- Data manipulation languages such as SQL.
- Data visualization software such as tableau, PowerBI, Qlikview or Tableau.
- Applying ML / data science techniques to key business issues faced by our clients.
- Drawing on your knowledge and experience, you’ll create innovative commercial insights for clients, adapt methods and practices to fit operational, team and cultural needs, and contribute to thought leadership.
- Adapting your leadership style to fit team, client, and cultural needs, they will look to you to anticipate and identify risks and escalate issues as appropriate.
- As an influential member of the team, you’ll create a positive learning culture and will coach and counsel junior members of the team and help them develop.
- Actively establish, maintain, and strengthen internal and external relationships.
Skills & Attributes for Success
If you have some or all of the below, then get in touch:
- Strong communication, collaborative & team player skills
- Professional experience in delivery of advanced analytics/DS/AI projects
- Excellent knowledge of mathematical, probability & statistics principles, and of algorithm theory
- Detailed knowledge of a range of AI techniques including, graph data analytics, time series, NLP, deep learning, supervised and unsupervised machine learning etc
- Programming skills in Python or R, Spark and SQL
- Excellent communication skills, with the ability to analyse and clearly articulate complexities in a simple, clear and compelling way
- Worked with open source data science libraries and confidently apply them to various problem types
- Experience of using the latest Data science platforms (e.g. Databricks, AzureML) and frameworks (e.g. Tensorflow, MXNet, scikit-learn)
- Data wrangling and manipulation techniques
- Experience of development & deployment tooling, such as Jenkins, Ansible, Docker etc
- Strong academic record including a degree /MSc/PhD in: Mathematics / Statistics / Computer Science / Engineering.
Whilst we are looking for machine learning experts, we aren’t looking for machines; what we need is your human IQ and EQ to be part of our high performing team. Success isn’t achieved from a cookie cutter template, nor from re-inventing the wheel every time, rather it’s a combination of balancing the innovation and industrialisation experience you can bring.
What we offer
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.
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:
- 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.
Our commitment to diversity & inclusion
At EY we are genuinely passionate about inclusion and we support of individuals of all groups; we do not discriminate on the basis of race, religion, gender, sexual orientation, or disability status.
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. We ask because it matters!
EY | Building a better working world
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.
