Deloitte Consulting – Applied AI Summer Scholar

Posted 4 days ago by Deloitte
http://dejobs.org/083CBD4F875B4FBB9756C2060BD25F9D23
Application ends: December 29, 2022
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Job Description

Why work at one company when you could work with almost every company to solve the world’s biggest problems? At Deloitte, you can work across industries, technologies, and sectors, with people from every corner of the world. So don’t just work in tech, healthcare, finance, or retail. Work everywhere – right here at Deloitte.

Passionate about artificial intelligence? Energized by business transformation? Ready to take your academic education to the next level? Join our Analytics and Cognitive (A&C) practice and bridge the theoretical with the practical in our immersive, fast-paced work environment. Applied AI Summer Scholars can leverage their data analytics, technology, and AI skills to advise clients, cut through complexity, and inspire data-driven decisions in a collaborative team setting.

Work you’ll do

As an Applied AI Summer Scholar, you will have opportunities to make an impact on a broad range of transformative projects for our clients. Applied AI Summer Scholars will:

+ A designer will learn and apply human-centered design thinking techniques to help with the creation of processes, strategies and design artifacts throughout client engagements

+ Collaborate with cross-functional teams of product managers, software engineers, data scientists, designers, and subject matter experts to help document requirements.

You can capitalize on our cross-industry presence to find your niche and begin building your individual brand. This person should have strong analytical and critical thinking skills with the ability to solve complex problems and communicate findings.

The Team

The Analytics & Cognitive team leverages the power of data science, analytics, robotics, and AI technologies combined with the design thinking methodologies with a deep understanding of the user to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio leads our clients through strategic choices and transformations ahead of disruption by driving competitive advantage through humans with machines.

The Roles

ML Engineer

Data Scientist

Developer

Designer

The Analytics & Cognitive team works with our clients to:

+ Design and implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based as well as client-owned platforms

+ Deploy automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions

+ Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements

Required Qualifications for all roles:

+ Ability to work independently, collaborate with others and manage multiple task assignments

+ Strong oral and written communication skills, including presentation skills (for example, MS PowerPoint)

+ Strong problem solving and critical thinking skills

+ Ability to travel up to 50%

+ Availability to participate full-time for a 10-week internship June to August 2023

+ Strong academic track record (preferred GPA of 3.2 or higher)

+ Limited immigration sponsorship may be available

Required Qualifications

Designer Skills

+ Junior standing in a full-time academic program with a target graduation date between December 2023 and August 2024, pursuing a Bachelor’s degree in one of the following disciplines:

+ Graphic/ Communication Design

+ Industrial Design

+ Architecture

+ Human-Computer Interaction

+ Human Factors

+ Cognitive Science / Psychology / Linguistics

+ Proficiency in design tools such as Adobe Creative Cloud, Sketch, Invision and Figma

+ Knowledge of UX design methodologies

+ Strong UI and visual design skillset

+ Ability to identify problems and present solutions

+ Motivation to maintain and improve design standards and processes

+ Portfolio Required

Data Scientist Skills

+ Junior standing in a full-time academic program with a target graduation date between December 2023 and August 2024, pursuing a Bachelor’s degree in one of the following disciplines:

+ Data Science

+ Applied AI

+ Computer Science

+ Statistics

+ Mathematics

+ Physics, or a closely related field

+ Experience with R or Python, database design, and SQL

Developer Skills

+ Junior standing in a full-time academic program with a target graduation date between December 2023 and August 2024, pursuing a Bachelor’s degree in one of the following disciplines:

+ Computer Science,

+ Computer Engineering,

+ Information Management or a related field

+ Familiarity with the agile methodologies & software development lifecycle (SDLC)

+ Experience developing web applications with SOA, RESTful APIs, and/or MVC architectures

+ Familiarity with scripting languages (JavaScript (Node.js) / Python)

+ Development experience with a high-level language (Java or C#)

+ Hands-on experience in HTML, JavaScript, and CSS

+ Cloud development experience (AWS, GCP, Azure etc.)

+ Hands-on experience in SQL or NoSQL database environments

ML Engineer

+ Junior standing in a full-time academic program with a target graduation date between December 2023 and August 2024, pursuing a Bachelor’s degree in one of the following disciplines:

+ Data Science

+ Applied AI/Artificial Intelligence

+ Electrical Engineering

+ Computer Science

+ Computer Engineering

+ Statistics

+ Mathematics

+ Physics, or a closely related field

+ Experience with R or Python, database design, and SQL

+ Knowledge of the data science and analytics lifecycle

+ Knowledge of C++, Java, or other object-oriented programming language

+ Experience with application or software development

+ Familiarity with the agile methodologies & software development lifecycle (SDLC)

+ Experience with cloud development (AWS, GCP, Azure etc.)

Preferred Qualifications

Data Science and ML Engineers:

+ Implementing Apache Open Source (Kafka, Storm, Spark) Frameworks to process end to end data management life cycle for NLP, Machine Log Algorithms, Text Mining algorithms

+ Experience in Natural Language Processing (NLP), Linguistics, Advanced Semantic Design

+ At least 6 months experience working with SparkCognition, Expert System, Microsoft Cognitive Services, IBM Watson, Numenta, Deepmind, CognitiveScale, CustomerMatrix, IPSoft, Salesforce Einstein, Google Cloud Platform/Tensor Flow, or Amazon Web Services/Sagemaker, Microsoft Azure/Machine Learning and common open source scripting languages

Developers:

+ Java Script Programming at User Interface (UI) level: ReactJS, AngularJS, NodeJS

+ SQL/No- SQL database knowledge

+ Cloud development and deployment knowledge (AWS, GCP, Azure)

+ DevOps and MLOps

Designers:

+ Preferred experience in Data Visualization Design, AI Experience Design, Conversational AI design, Product design or software design

How You’ll Grow

During this challenging and inspiring learning experience, you’ll gain first-hand insights into technical skills, critical professional behaviors, standards, and mindsets needed to be effective as a strategy consultant. You’ll work with a wide variety of talented strategic leaders and learn how to develop, implement, and measure innovative strategies, tackle real-world business issues head-on, and experience first-hand the day-to-day challenges and opportunities of this exciting career. Summer Scholars will also be invited to participate in the Consulting Summer Scholar Internship Conference hosted during the summer at Deloitte University. Explore Deloitte University, The Leadership Center.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.