Deloitte Job Vacancy Alert for Applied AI Analyst

 

Deloitte Job Vacancy Alert for Applied AI Analyst

Position Summary

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 Analysts 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 Analyst, you will have opportunities to make an impact on a broad range of transformative projects for our clients.  Applied AI Analyst will:

A designer will use a human-centered design approach to develop artifacts that communicate processes, strategies, and solutions throughout client engagements

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

Strategize, architect, position, design, develop and deploy enterprise solutions that include Artificial Intelligence components to produce effective communications throughout client engagements such as Chatbots, Virtual Assistants, Machine Learning, and AI Services (e.g. Vision/Image, Textual/Language processing).

Think critically and develop models for visualization, interaction, sensor, machine, and voice or mash-ups of new and existing data sources.

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 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

Developer

Data Scientist

ML Engineer

Designer

The Analytics & Cognitive team works with our clients to:

Design and implement large-scale complex enterprise systems that involve 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

Minimum 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

Strong problem-solving and troubleshooting skills with the ability to exercise mature judgment

Ability to travel up to 50%

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

Limited immigration sponsorship may be available

Required Qualifications

Designer Skills

Bachelor’s or Master’s degree completed by August 2023 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 to clients and stakeholders

Motivation to maintain and improve design standards and processes

Portfolio Required

Data Scientist Skills

Bachelor’s or Master’s degree completed by August 2023 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

Bachelor’s or Master’s degree completed by August 2023 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

Bachelor’s or Master’s degree completed by August 2023 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 another 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 of 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:

JavaScript 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

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