Data Scientist Do you want to build your brand by working for a leading consulting firm that drives eminence in the marketplace? Are you interested in leveraging your analytical skills and strategic ideas to improve mission execution? If so, Deloitte could be the place for you! Our Government Public Services (GPS) Strategy and Analytics team brings deep industry expertise, rigorous analytical capabilities and a pragmatic mindset to help solve our client's most complex business problems. Join our team and play a key role in helping to design our clients' roadmap to the future and help transform the GPS marketplace. Work you'll do The Data Science Consultant will, as part of several client delivery teams, be responsible for developing, designing, and maintaining cutting-edge AI-based systems, ensuring smooth and engaging user experiences. Additionally, they will participate in a wide variety of Natural Language Processing activities, building Machine Learning Models, AI Algorithms, code and design review. The team Deloitte's Government and Public Services (GPS) practice - our people, ideas, technology and outcomes-is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of over 15,000+ professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. The GPS AI & Data Engineering offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients. Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights to decision-makers. Our practitioners give special attention to the interplay between data and the business processes that produce it and the decision-makers that consume insights. Thank you for your interest in Deloitte. We are committed to providing equal opportunity and reasonable accommodation for people with disabilities. To request a reasonable accommodation, contact your recruiter or Core Talent Services Customer Interaction Center (CTS CIC) at 1-800-Deloitte or USTalentCICInbox@deloitte.com . Note: + This option is available only to those needing an accommodation related to a disability. + In order to express interest, you must have the information related to the specific position you are interested in (requisition number, job title, location, etc.). + Information related to existing profiles or applications will not be provided via this phone number. Qualifications Required: + Bachelor's degree required + Must have Active Secret clearance or above + Travel up to 10% + 3+ years of experience with programming languages such as SQL, R, Python + 2+ years of experience with Machine Learning (ML) and/or Artificial Intelligence (AI) Modeling + 3+ years of experience with data visualization tools, such as Tableau, Qlik, PowerBI, d3.js, or equivalent Preferred: + 3+ years of relevant consulting or industry experience + Prior professional services or federal consulting experience + Knowledge of data mining, machine learning, data visualization and statistical modeling Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html 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.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.

Are you an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our US Delivery Center - we are breaking the mold of a typical Delivery Center. Our US Delivery Centers have been growing since 2014 with significant, continued growth on the horizon. Interested? Read more about our opportunity below ... Work you'll do/Responsibilities + Work with data science techniques and libraries to show data's applicability to business problems + Perform exploratory data analysis to define analytical models + Develop advanced quantitative models using a variety of programs/software to support predictive assessments + Provide expertise for analytical, programmatic, strategic, and operational analysis. + Explain analytics model behavior/results in the vernacular of business. + Perform technical risk analysis and reliability assessments. + Perform multiple forms of advanced analyses, sustainment, optimization, text analytics, machine learning, parametric and non-parametric statistical models and techniques + Build, test, validate and demonstrate analytical models through various relevant error metrics and calibration techniques + Provide recommendations for plans, programs, strategies, policies and budgets. + Design algorithms that require a number of different models/methods to be used in an ensemble + Deploy models into production The TeamArtificial Intelligence & Data Engineering In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. Artificial Intelligence & Data Engineering will work with our clients to: + Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms + Leverage 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 Qualifications Required: + 5+ years of experience and knowledge of the ML lifecycle and concepts + 5+ years of experience with the design and implementation (building, containerizing, and deploying end to end automated data and ML pipelines) of automated cloud solutions + 5+ years of experience in developing algorithms using data science technologies to build analytical models + 5+ years of data extraction/manipulation experience using scripts specific to AI/ML + 5+ years of IT experience. Minimum 2 years of relevant experience delivering AI/ML projects + 5+ years of modeling experience using a variety of regression and supervised and unsupervised learning techniques. + 5+ years of experience in data wrangling/cleansing, statistical modeling, and programming + 5+ years of extensive experience working in an Agile development environment + 5+ years of experience for fluency in both structured and unstructured data (SQL, NOSQL) + 3+ years of production experience with Apache Spark + 3+ years of hands-on experience with web APIs, CI/CD for ML, and Serverless Deployment + 2+ years of experience with presentation and data analysis software such as: SAS, R, SPSS, MATLAB, QlikView, Excel and Access + 1+ years of experience to have familiarity with Linux OS and Windows servers + 1+ years of experience to have knowledge of Docker, Jenkins, Kubernetes, and other DevOps tools + Must live in a commutable distance (approximately 100-mile radius) to one of the following Delivery locations: Atlanta, GA; Charlotte, NC; Dallas, TX; Gilbert, AZ; Houston, TX; Lake Mary, FL; Mechanicsburg, PA; Philadelphia, PA; with the ability to commute to assigned location for the day, without the need for overnight accommodations + Expectation to co-locate in your designated Delivery location up to 30% of the time based on business needs. This may include a maximum of 10% overnight client/project travel + Bachelor's degree, preferably in Computer Sciences, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience + Limited sponsorship may be available + Must be available to start a new position by May 13th, 2024 Preferred: + Previous Government Consulting and/or professional services experience + In depth understanding of AI protocols and standards + Understanding of technology risks and the ability to assess and mitigate them + Deep knowledge of a specific domain or industry, with a focus on applying NLP/LLM solutions in that context + Experience with debugging and troubleshooting software or solutions design issues + Proven ability to stay current with best practices and new technology solutions in the field + Ability to display both breadth and depth of knowledge regarding functional and technical issues + Experience presenting to clients or other decision makers to present and sell ideas to various audiences (technical and non-technical) + Certification from any of the three major cloud platforms (AWS / Azure / GCP) in Cloud Architecture / Engineering / DevOps / ML. + Familiarity with Kubeflow or MLflow + Experience with machine learning pipelines (Azure ML) + Familiarity with the latest Natural Language Processing or Computer Vision related algorithms Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html ) 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.

GenAI Senior Developer - Senior Solution Specialist - USDC Are you an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our US Delivery Center - we are breaking the mold of a typical Delivery Center. Our US Delivery Centers have been growing since 2014 with significant, continued growth on the horizon. Interested? Read more about our opportunity below ... Work you'll do The Generative AI Engineer will, as part of several client delivery teams, be responsible for developing, designing, and maintaining cutting-edge AI-based systems, ensuring smooth and engaging user experiences. Additionally, the Generative AI Engineer will participate in a wide variety of Natural Language Processing activities, including refining and optimizing prompts to improve the outcome of Large Language Models (LLMs), and code and design review. The kinds of activities performed by the Prompt Engineer will also include, but not be limited to:<ul><li>Working across client teams to develop and architect Generative AI solutions using ML and GenAI</li><li>Developing and promoting standards across the community</li><li>Evaluating and selecting appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using Python and other open-source technologies</li><li>Working with leadership and stakeholders to identify AI opportunities and promote strategy.</li><li>Developing and conducting trainings for users across the Government & Public Services landscape on principles used to develop models and how to interact with models to facilitate their business processes.</li><li>Building and prioritizing backlog for future machine-learning enabled features to support client business processes.</li><li>You'll design and build generative models, selecting the most suitable architecture (e.g., GANs, VAEs) based on the desired output (text, images, code). This involves writing code using Python libraries like TensorFlow or PyTorch.</li><li>Once your model is built, you'll train it on the prepared data, fine-tuning hyperparameters to achieve optimal performance. You'll then evaluate the model's outputs to assess its effectiveness and identify areas for improvement.</li><li>You'll collaborate with other engineers to integrate your generative AI solution into existing systems or develop new applications. This might involve deploying the model on cloud platforms for scalability.</li><li>The field of generative AI is rapidly evolving. Staying abreast of the latest research, advancements, and ethical considerations in AI development is an ongoing process.</li></ul>The TeamArtificial Intelligence & Data Engineering In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. Artificial Intelligence & Data Engineering will work with our clients to:<ul><li>Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms</li><li>Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions</li><li>Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements</li></ul>Qualifications Required:<ul><li>6+ years of experience programming in Python or R.</li><li>Knowledge of Python libraries like Pandas, Scikit-Learn, Numpy, NLTK is required</li><li>5+ years of experience with Natural Language Processing (NLP) and Large Language Models (LLM) 5+ years of experience building and maintaining scalable API solutions</li><li>Experience working with RAG technologies and LLM frameworks (Langchain, Claude and LLamaIndex), LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases (FAISS , Milvus , OpenSearch, Pinecone etc.)</li><li>Experience working with Retrieval Augmented Thoughts (RAT) and chain of thoughts.</li><li>Experience building scalable data models and performing complex relational databases queries using SQL (Oracle, MySQL, PostGres), etc.</li><li>Experience working with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).</li><li>Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines</li><li>Experience driving DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI</li><li>Experience with machine learning libraries and services like TensorFlow, PyTorch, or Amazon SageMaker.</li><li>Experience integrating GenAI solution on cloud platform (e.g., AWS, Azure, Google Cloud) </li><li>5+ years of experience designing solutions to address client requirements</li><li>3+ years of experience with the design and implementation (building, containerizing, and deploying end to end automated data and ML pipelines) of automated cloud solutions</li><li>5+ years of experience in developing algorithms using data science technologies to build analytical models</li><li>5+ years of data extraction/manipulation experience using scripts specific to AI/ML</li><li>5+ years of modeling experience using a variety of regression and supervised and unsupervised learning techniques.</li><li>5+ years of experience in data wrangling/cleansing, statistical modeling, and programming</li><li>5+ years of extensive experience working in an Agile development environment</li><li>5+ years of experience for fluency in both structured and unstructured data (SQL, NOSQL)</li><li>5+ years of production experience with Apache Spark</li><li>5+ years of hands-on experience with web APIs, CI/CD for ML, and Serverless Deployment</li><li>3+ years of experience with presentation and data analysis software such as: SAS, R, SPSS, MATLAB, QlikView, Excel and Access</li><li>1+ years of experience to have familiarity with Linux OS and Windows servers</li><li>1+ years of experience to have knowledge of Docker, Jenkins, Kubernetes, and other DevOps tools</li><li>Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future</li><li>Must live in a commutable distance (approximately 100-mile radius) to one of the following Delivery locations: Atlanta, GA; Charlotte, NC; Dallas, TX; Gilbert, AZ; Houston, TX; Lake Mary, FL; Mechanicsburg, PA; Philadelphia, PA; with the ability to commute to assigned location for the day, without the need for overnight accommodations</li><li>Expectation to co-locate in your designated Delivery location up to 30% of the time based on business needs. This may include a maximum of 10% overnight client/project travel</li><li>Bachelor's degree, preferably in Computer Sciences, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience</li></ul>Preferred:<ul><li>Previous Government Consulting and/or professional services experience</li><li>In depth understanding of AI protocols and standards</li><li>Understanding of technology risks and the ability to assess and mitigate them</li><li>Deep knowledge of a specific domain or industry, with a focus on applying NLP/LLM solutions in that context</li><li>Experience with debugging and troubleshooting software or solutions design issues</li><li>Proven ability to stay current with best practices and new technology solutions in the field</li><li>Ability to display both breadth and depth of knowledge regarding functional and technical issues</li><li>Experience presenting to clients or other decision makers to present and sell ideas to various audiences (technical and non-technical)</li><li>Certification from any of the three major cloud platforms (AWS / Azure / GCP) in Cloud Architecture / Engineering / DevOps / ML.</li><li>Familiarity with Kubeflow or MLflow</li><li>Experience with machine learning pipelines (Azure ML)</li><li>Familiarity with the latest Natural Language Processing or Computer Vision related algorithms</li></ul>Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits 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 people and culture Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. Learn more about our inclusive culture. Our purpose Deloitte's purpose is to make an impact that matters for our clients, our people, and in our communities. We are creating trust and confidence in a more equitable society. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. We are focusing our collective efforts to advance sustainability, equity, and trust that come to life through our core commitments. Learn more about Deloitte's purpose, commitments, and impact. Professional development From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

What impact will you make?Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services, Deloitte is where you’ll find unrivalled opportunities to succeed and realize your full potential Deloitte is where you’ll find unrivalled opportunities to succeed and realize your full potential.Location - Bangalore/Delhi NCR (Work Location) Mode: HybridRelevant Experience in data science: 6-8 years (**Kindly refrain from applying if you lack relevant experience of 6-8 years or if you are not comfortable with the Delhi/Bangalore location) Summary:As a Sr. Data Science consultant, you will be expected to be hands-on & outcome focused to deliver end to end Data Science projects. You should also possess a proven track record of delivering Data Science projects through its complete lifecycle starting from defining the business problem to recommending action driven insights. You are expected to demonstrate analytical qualities to not only execute projects independently but drive multiple projects to completion through collaboration, mentoring & consulting in a demanding environment. Your role will involve:<ul><li>Liaison with on site and client teams to understand various business problem statements analytical requirements</li><li>Provide suggestions on various machine learning algorithms to solve business analytics problems</li><li>Drive for value proposition with best-in-class industry practices & latest algorithms</li><li>Actively participate in client pursuits, proposals & bids</li><li>Oversee & improve machine learning models developed by the team & identify scope for model improvements & best practices.</li></ul> Qualifications:<ul><li>Bachelor's degree or higher in Computer Science, Data Science, or a related field.</li><li>Minimum of 6+ years of relevant professional experience in Python, R, Machine Learning, Deep Learning and Neural Networks, Data Science, and Statistics.</li><li>Expertise in Sentiment Analysis, Entity extraction, document classification, Natural Language Processing (NLP) & Natural Language Generation (NLG)</li><li>· Experience of developing commonly used predictive models like - Linear Regression, Decision Trees, SVM. KNN, Gradient Boost, Random Forest etc.</li><li>Proficiency in cloud platforms like GCP/AWS / Azure, including experience with deploying AI applications.</li><li>Solid programming skills in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).</li><li>Proven track record of delivering successful AI projects and driving business impact.</li><li>Strong understanding of text pre-processing & normalization techniques such as tokenization</li><li>Excellent communication, presentation, and documentation skills.</li><li>Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies.</li></ul> Primary mandatory skills:<ul><li>Proficiency in programming languages commonly used in data science, such as Python or R. Python is especially popular in the NLP/NLG domain due to its rich ecosystem of libraries and frameworks.</li><li>Database Systems - SQL and NoSQL databases: Depending on the project's requirements, knowledge of databases like MySQL, PostgreSQL, MongoDB, etc.</li><li>Experience of developing commonly used predictive models like - Linear Regression, Decision Trees, SVM. KNN, Gradient Boost, Random Forest etc.</li></ul>Secondary Skills:<ul><li>Probability and Statistics, JavaScript, Optimization Techniques, Research and Problem-Solving</li><li>Domain Expertise in BFSI, Fintech, Life science, Manufacturing, Telecom, Media & Entertainment</li></ul> Your role as a leaderAt Deloitte India, we believe in the importance of leadership at all levels. We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society and make an impact that matters. How you’ll growAt 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 build world-class 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 career. Explore Deloitte University, The Leadership Centre.

What impact will you make?Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services, Deloitte is where you’ll find unrivalled opportunities to succeed and realize your full potential Deloitte is where you’ll find unrivalled opportunities to succeed and realize your full potential.Location - Mumbai/Bangalore/Delhi NCR Summary:As a Data Science consultant, you will be expected to be hands-on & outcome focused to deliver end to end Data Science projects. You should also possess a proven track record of delivering Data Science projects through its complete lifecycle starting from defining the business problem to recommending action driven insights. You are expected to demonstrate analytical qualities to not only execute projects independently but drive multiple projects to completion through collaboration, mentoring & consulting in a demanding environment. Your role will involve:<ul><li>Liaison with on site and client teams to understand various business problem statements analytical requirements</li><li>Provide suggestions on various machine learning algorithms to solve business analytics problems</li><li>Drive for value proposition with best-in-class industry practices & latest algorithms</li><li>Actively participate in client pursuits, proposals & bids</li><li>Oversee & improve machine learning models developed by the team & identify scope for model improvements & best practices.</li></ul> Qualifications:<ul><li>Bachelor's degree or higher in Computer Science, Data Science, or a related field.</li><li>Minimum of 7+ years of relevant professional experience in Python, R, Machine Learning, Deep Learning and Neural Networks, Data Science, and Statistics.</li><li>Expertise in Sentiment Analysis, Entity extraction, document classification, Natural Language Processing (NLP) & Natural Language Generation (NLG)</li><li>· Experience of developing commonly used predictive models like - Linear Regression, Decision Trees, SVM. KNN, Gradient Boost, Random Forest etc.</li><li>Proficiency in cloud platforms like GCP/AWS / Azure, including experience with deploying AI applications.</li><li>Solid programming skills in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).</li><li>Proven track record of delivering successful AI projects and driving business impact.</li><li>Strong understanding of text pre-processing & normalization techniques such as tokenization</li><li>Excellent communication, presentation, and documentation skills.</li><li>Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies.</li></ul> Primary mandatory skills:<ul><li>Proficiency in programming languages commonly used in data science, such as Python or R. Python is especially popular in the NLP/NLG domain due to its rich ecosystem of libraries and frameworks.</li><li>Database Systems - SQL and NoSQL databases: Depending on the project's requirements, knowledge of databases like MySQL, PostgreSQL, MongoDB, etc.</li><li>Experience of developing commonly used predictive models like - Linear Regression, Decision Trees, SVM. KNN, Gradient Boost, Random Forest etc.</li></ul>Secondary Skills:<ul><li>Probability and Statistics, JavaScript, Optimization Techniques, Research and Problem-Solving</li><li>Domain Expertise in BFSI, Fintech, Life science, Manufacturing, Telecom, Media & Entertainment</li></ul> Your role as a leaderAt Deloitte India, we believe in the importance of leadership at all levels. We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society and make an impact that matters. How you’ll growAt 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 build world-class 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 career. Explore Deloitte University, The Leadership Centre.

Data Scientist Deloitte Jobs

Data Scientist
April 24, 2024

Data Scientist Senior Solution Specialist
April 24, 2024

Data Scientist Genai Solution Specialist Hybrid
April 19, 2024

Senior Data Scientist
April 17, 2024

Data Scientist
April 7, 2024

Quick filters

Top companies

Data Scientist Deloitte Jobs

Data ScientistApril 24, 2024

Data Scientist Senior Solution SpecialistApril 24, 2024

Data Scientist Genai Solution Specialist HybridApril 19, 2024

Senior Data ScientistApril 17, 2024

Data ScientistApril 7, 2024