Technology Consulting Data Science Senior Manager - Life Sciences

Key Skills

Java Programming, Python Programming, SQL, Flume, Keras software library, PyTorch, TensorFlow, MapReduce, Apache Impala, Caffe, SAS, SPSS Statistics, Torch library

Job Description

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.

?Technology Consulting Data Science Senior Manager - Life Sciences

Our clients operate in a world where achieving and sustaining performance is more difficult than ever. EY's Life Sciences Consulting Services team assists clients in finding the right balance between protecting the business and driving measurable value.

The opportunity 

The Life Sciences group is a part of the Global Life Sciences Center, which focuses on biotechnology, pharmaceutical, medical device manufacturers, and medical technology industries. You will be an integral member of our life sciences consulting team, and spend most of your time focused on providing client services in the following areas: business performance management, analytics enablement, growth/strategy, process improvement, cost reduction, technology implementation and enterprise transformation.

Your key responsibilities

Most of your time will be spent supporting client engagement teams and working with a wide variety of clients to deliver professional services in the life sciences domain.

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 colleagues.

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 environment.

Skills and attributes for success

• Fostering an innovative and inclusive team-oriented work environment
• Leading and coaching diverse teams of professionals with different backgrounds
• Providing subject matter expertise in defining technical and business approaches
• Building strong relationships with the clients and cultivating business opportunities
• 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 path 

To qualify for the role you must have

• A bachelor's degree and approximately 8 years of related work experience; or a master's degree and approximately 7 years of related work experience
• 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 architecture experience
• Ability to understand what adds value in the Life Sciences sector and to 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 Learning
• 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 in the Life Sciences sector:

• 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
• Valid passport 

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!

#LSCONSULTING

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 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.

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