Data Scientist Manager
Location: New York
Posted on: May 16, 2022
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.
EY is the only professional services firm with a separate business
unit ("FSO") that is dedicated to the financial services
marketplace. Our FSO teams have been at the forefront of every
event that has reshaped and redefined the financial services
industry. - If you have a passion for rallying together to solve
the most complex challenges in the financial services industry,
come join our dynamic FSO team!
The business problems our clients are facing today are not the same
problems they have faced in the past. The rapid pace of development
in AI and the technology that enables it has created an urgent need
to innovate and adapt to the new global business paradigm.
Financial institutions are looking to build smarter and more
efficient ways to operate their business, create new revenue
streams, and better manage risk, through new opportunities
uncovered by their data. We believe that to fully unlock the
potential of AI and advanced analytics we need to look not only at
the application of AI, but also at the strategy level for how best
to transform the enterprise into one that is technology and data
focused and ready for the new age. Our clients' problems are
becoming increasingly complex while at the same time the need to
automate and streamline is rising.
As a member of the Advanced Analytics team, we'll look to you to
provide our clients with a unique business perspective on how data
science and analytics can transform and improve their entire
organization - starting with key business issues they face. This is
a high growth, high visibility area with plenty of opportunities to
enhance your skillset and build your career. We provide constant
room for growth through client engagements and personal
development. Our practitioners develop and lead innovative
techniques and methods, supporting both business and technology
leaders. This role provides the unique opportunity to build a
professional network, tackle complex issues, and drive cutting edge
approaches across industry leading clients and domains. You will
help our clients navigate the complex world of modern data science
What to expect
You'll be working with a newly created team in truly uncharted
territory. You will apply your knowledge and experience to support
the delivery of key projects, build valuable relationships both
within EY and with clients, and develop strong capabilities through
both formal training and working with senior mentors and talented
You'll spend most of your time working with a wide variety of
clients to help with designing advanced analytics solutions,
undertaking proof-of-concepts, and implementing these solutions to
help clients to compete effectively in this dynamic
Skills and attributes for success
Fostering an innovative and inclusive team-oriented work
Leading and coaching diverse teams of professionals with different
Providing subject matter expertise in defining technical and
Building strong relationships with the clients and cultivating
Initiating and building thought leadership through white papers,
point of views, and proof of concepts
Working in an entrepreneurial environment to pave your own career
To qualify for the role you must have
A bachelor's or master's degree
Around 6 or more years of related work experience in banking,
capital markets, insurance or asset management space
Practical experience in leading and managing multi-disciplinary
teams through a product life cycle - requirements, design,
development and testing
Demonstrated experience of technically leading and guiding a team
of machine learning experts
Strong machine learning and data structure design, development and
Ability to understand what adds value and proactively explore and
identify new data sources and/or new machine learning techniques
that could be helpful.
Strong deep learning experience, particularly in applications of
Neural Network architectures to Natural Language Processing,
Computer Vision, Machine Intelligence and/or Reinforcement
Strong understanding of data management and model evaluation and
training techniques for Neural Networks.
Strong understanding of classical ML techniques like KNN, Kmeans,
PCA, GBM, SVM and regression
Experience in one or more deep learning frameworks such as Pytorch,
Torch, Caffe, Keras, or Tensorflow.
Practical experience using the following tools and technologies:
SAS, R, Python, SPSS, MapR, Flume, Hue, Impala, predictive
analytics, machine learning, artificial intelligence
Exceptional communication skills, both verbal and written, and
desire to educate others about our ML models.
Demonstrated ability to work across and influence different
stakeholders within an organization.
Passion for machine learning & data analysis. Demonstrated
exploration of new techniques outside of day-to-day job duties.
Strong analytical and problem-solving skills
Prior experience in project management and client serving roles
Ability to understand business challenges and translate them into
value add analytics solutions
Excellent leadership and teaming skills
A willingness and ability to travel to meet client needs; travel is
estimated at 80%-90%
---Ideally, you'll also have
A degree in computer science, engineering, accounting, finance or a
related field; MBA or MS degree preferred
Prior consulting experience
What we look for
We're interested in self-motivated and passionate leaders with a
strong vision and desire to stay on the cutting edge of data
technology and science. We are looking for individuals who aspire
to build collaborative team environments and possess effective
management skills while demonstrating in-depth technical
capabilities and industry knowledge.
If you have a genuine drive for helping consumers achieve the full
potential of their data while working towards your own development,
this role is for you!
What we offer
We offer a competitive compensation package where you'll be
rewarded based on your performance and recognized for the value you
bring to our business. In addition, our Total Rewards package
includes medical and dental coverage, pension and 401(k) plans, and
a wide range of paid time off options. Under our flexible vacation
policy, you'll decide how much vacation time you need based on your
own personal circumstances. You'll also be granted time off for
designated EY Paid Holidays, Winter/Summer breaks, Personal/Family
Care, and other leaves of absence when needed to support your
physical, financial, and emotional well-being.
--- - - -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
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.
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.
EY is an equal opportunity, affirmative action employer providing
equal employment opportunities to applicants and employees without
regard to race, color, religion, age, sex, sexual orientation,
gender identity/expression, national origin, protected veteran
status, disability status, or any other legally protected basis, in
accordance with applicable law.
Keywords: EY, New York , Data Scientist Manager, Accounting, Auditing , New York, New York
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