Deloitte Risk & Financial Advisory Associate - Data Scientist

Are you interested in working in a dynamic environment that offers opportunities for professional growth and new responsibilities? If so, Deloitte & Touche LLP could be the place for you. At Deloitte, we are creating a world-class Artificial Intelligence and Machine Learning (AI/ML) Center of Excellence to enhance Deloitte’s existing services and empower our clients to gain exponential value from their data. Our focus is on bringing data, analytics, and technology together with our deep expertise in multiple industries to drive new product development and significant automation/efficiencies. We are seeking to grow our team with brilliant and diverse contributors with technical ability. We are looking for Machine Learning experts with strong experience in Deep Learning that want to be part of a team that has an opportunity to make a significant impact.

You will be focused on developing cutting-edge quantitative solutions to our client’s most challenging problems. You will develop and apply technical skills, apply quantitative methods to challenging AI, and explore Machine Learning problems across multiple industries. Opportunities to assist clients will span from Life sciences (genetics, new medicines development) to Cyber Security to Fraud/Waste/Abuse detection to capital markets modeling. This is an exciting role that will stretch your knowledge and curiosity, offering the opportunity to deepen your skills, learn new industries, and work within a global community with strong support from experienced experts in the field. Data Scientists will:

 

·      Apply rigorous data science practices on specific projects

·      Create algorithms to extract information from large, multiparametric data sets

·      Be a key contributor to the planning and direction of a project and effectively prioritize goals

·      Lead peer review discussions and use quantitative skills to positively influence decision making

·      Effectively explain technical concepts

·      Identify opportunities to apply the latest advancements in Machine Learning and Artificial Intelligence to build, test, and validate predictive models

·      Deploy algorithms to production to identify actionable insights from large databases

·      Compare results from various methodologies and recommend best techniques to stakeholders

·      Develop and embed automated processes for predictive model validation, deployment, and implementation

·      Connect and collaborate with subject matter experts across multiple industries

·      Make impactful contributions to internal discussions on emerging Machine Learning methodologies

 

Data Scientists must also:

 

·      Possess strong written and verbal communication skills

·      Be able to work collaboratively as part of a team

·      Continuously look for opportunities to learn, build skills, and share learning

 

·      Undergraduate or Masters degree in one of the following majors:

o   Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Computational Biology, Computational Chemistry or related quantitative field

·      Completed courses in Deep Learning, Machine Learning, Statistics, and Programming

·      Experience with a programming language such as Python

·      Experience with at least one Deep Learning framework such as PyTorch or TensorFlow/Keras

·      Demonstrated ability to write high-quality code (readable, well-tested)

·      Demonstrated ability to develop machine learning models

·      Ability to travel up to 50% (While up to 50% travel is a requirement of the role, due to COVID-19, non-essential travel has been suspended until further notice)

·      Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

 

·      Strong academic track record (minimum GPA of 3.2)

·      Relevant work experience or work experience in a professional environment (e.g. internships, summer positions, school jobs)

·      AI/ML publication in a peer-reviewed journal

·      Top 10% entry on a Kaggle Leaderboard

·      Proficiency in Linux environment (including shell scripting)

·      Experience with database languages (e.g., SQL, No-SQL)

·      Experience with version control practices and tools (Git, Perforce, etc.)

·      Familiarity with cloud computing services (AWS, GCP, or Azure)

At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their careers. Explore Deloitte University, The Leadership Center.

At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.

Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte.

Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world.

We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do your research: know some background about the organization and the business area you’re applying to. Check out recruiting tips from Deloitte professionals.

Deloitte Website Application: You are required to apply through the Deloitte website for legal purposes. Please go to https://jobsus.deloitte.com/new-york-ny/deloitte-risk-financial-advisory-associate-data-scientist-summer-2022/F2DA85FEE5134E6EA5BB5BE99BFB30D4/job/ and complete a profile. This position has a start season timing of Summer/Fall 2022. Openings for this position are flexible in the office locations listed.