... Python, Keras, PyTorch, Pandas, Scikit-learn, Docker, Kubernetes, etc.) • 6+ years of experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and ...
... Python, Keras, PyTorch, Pandas, Scikit-learn, Docker, Kubernetes, etc.) • 6+ years of experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and ...
Architect scalable data science workflows using Python, SQL, and distributed data processing frameworks in cloud or enterprise environments * Apply and advance classical ML, deep learning, time ...
Architect scalable data science workflows using Python, SQL, and distributed data processing frameworks in cloud or enterprise environments * Apply and advance classical ML, deep learning, time ...
... science languages and frameworks (Python, PyTorch, etc.) and data analysis (NLP, time-series analysis, computer vision) • 3+ years of experience and a proven track record applying traditional ML ...
... science languages and frameworks (Python, PyTorch, etc.) and data analysis (NLP, time-series analysis, computer vision) • 3+ years of experience and a proven track record applying traditional ML ...
This role blends applied data science with practical ML engineering to help design, build, and ... Python, AWS/GCP, APIs). • Proficiency in SQL and working with large datasets. • Familiarity ...
Quick apply
This role blends applied data science with practical ML engineering to help design, build, and ... Python, AWS/GCP, APIs). • Proficiency in SQL and working with large datasets. • Familiarity ...
Data Scientist Specialist
Maplewood, MN · On-site
$164.61K - $201.19K/yr
Data Science Specialist Collaborate with Innovative 3Mers Around the World Choosing where to start ... Python fluency with the relevant modeling and statistical libraries * Strong foundation in ...
Data Scientist Specialist
Maplewood, MN · On-site
$164.61K - $201.19K/yr
Data Science Specialist Collaborate with Innovative 3Mers Around the World Choosing where to start ... Python fluency with the relevant modeling and statistical libraries * Strong foundation in ...
Data Scientist - Supply Chain Analytics
Richfield, MN · On-site
$93.15K - $166.85K/yr
A strong candidate will have hands-on experience applying data science and operations research ... Python, R), and machine learning and/or optimization tools (i.e., Python, R, Gurobi, Vertex AI ...
Data Scientist - Supply Chain Analytics
Richfield, MN · On-site
$93.15K - $166.85K/yr
A strong candidate will have hands-on experience applying data science and operations research ... Python, R), and machine learning and/or optimization tools (i.e., Python, R, Gurobi, Vertex AI ...
A strong candidate will have hands-on experience applying data science and operations research ... e.g., SQL, Python, R), and machine learning and/or optimization tools (i.e., Python, R ...
A strong candidate will have hands-on experience applying data science and operations research ... e.g., SQL, Python, R), and machine learning and/or optimization tools (i.e., Python, R ...
Data Scientist Specialist
Maplewood, MN · On-site
$164.61K - $201.19K/yr
Data Science Specialist Collaborate with Innovative 3Mers Around the World Choosing where to start ... Python fluency with the relevant modeling and statistical libraries * Strong foundation in ...
Data Scientist Specialist
Maplewood, MN · On-site
$164.61K - $201.19K/yr
Data Science Specialist Collaborate with Innovative 3Mers Around the World Choosing where to start ... Python fluency with the relevant modeling and statistical libraries * Strong foundation in ...
... science/analytics programming language (e.g., Python, R, SQL) * 1+ years of experience using cloud data platforms such as GCP, AWS, Snowflake etc. for model development, analysis, and ...
... science/analytics programming language (e.g., Python, R, SQL) * 1+ years of experience using cloud data platforms such as GCP, AWS, Snowflake etc. for model development, analysis, and ...
Data Scientist - Supply Chain Analytics
Richfield, MN · On-site +1
A strong candidate will have hands-on experience applying data science and operations research ... Python, R,Gurobi, Vertex AI). * 1+ yearshands-on experience working on large structured and ...
Data Scientist - Supply Chain Analytics
Richfield, MN · On-site +1
A strong candidate will have hands-on experience applying data science and operations research ... Python, R,Gurobi, Vertex AI). * 1+ yearshands-on experience working on large structured and ...
... data science solutions. * Present and defend results to leadership audiences, both technical and ... Python * Jupyter Notebook * (Optional) R script Experience & Qualifications * Passion in modern ...
... data science solutions. * Present and defend results to leadership audiences, both technical and ... Python * Jupyter Notebook * (Optional) R script Experience & Qualifications * Passion in modern ...
Lead technical data science contributorina high-performance multi-disciplinary teamcomprisingdata ... Demonstratedexpertisein object-oriented programming in Python and statistical programming in R ...
Lead technical data science contributorina high-performance multi-disciplinary teamcomprisingdata ... Demonstratedexpertisein object-oriented programming in Python and statistical programming in R ...
Sr. Data Scientist - Agentic AI (Minneapolis preferred, remote eligible)
Minneapolis, MN · On-site +1
$108.90K - $181.70K/yr
Identify and develop long-term data science processes, frameworks, tools, and standards. * Be a ... Experience with Python, including some exposure to package development and foundational programming ...
Sr. Data Scientist - Agentic AI (Minneapolis preferred, remote eligible)
Minneapolis, MN · On-site +1
$108.90K - $181.70K/yr
Identify and develop long-term data science processes, frameworks, tools, and standards. * Be a ... Experience with Python, including some exposure to package development and foundational programming ...
Sr. Data Scientist - Agentic AI (Minneapolis preferred, remote eligible)
Minneapolis, MN · On-site +1
$108.90K - $181.70K/yr
Identify and develop long-term data science processes, frameworks, tools, and standards. * Be a ... Experience with Python, including some exposure to package development and foundational programming ...
Sr. Data Scientist - Agentic AI (Minneapolis preferred, remote eligible)
Minneapolis, MN · On-site +1
$108.90K - $181.70K/yr
Identify and develop long-term data science processes, frameworks, tools, and standards. * Be a ... Experience with Python, including some exposure to package development and foundational programming ...
... Science, Business, or equivalent work experience. * Experience: Internship, academic, or project ... Strong skills in coding languages such as SQL, Python, or Py-Spark for data querying and extraction ...
... Science, Business, or equivalent work experience. * Experience: Internship, academic, or project ... Strong skills in coding languages such as SQL, Python, or Py-Spark for data querying and extraction ...
Data Scientist 2
Eden Prairie, MN · Remote
$72.80K - $130K/yr
Support architecting scalable data science workflows using Python, SQL, and distributed data processing frameworks in cloud or enterprise environments * Apply and advance classical ML, deep learning ...
Data Scientist 2
Eden Prairie, MN · Remote
$72.80K - $130K/yr
Support architecting scalable data science workflows using Python, SQL, and distributed data processing frameworks in cloud or enterprise environments * Apply and advance classical ML, deep learning ...
Data Scientist II - Asset Analytics and Transportation Modeling
Minneapolis, MN · On-site
$74.42K - $139.53K/yr
Bachelor's degree in data science, statistics, computer science, computer engineering, or ... ProficiencywithGIS,Python, R, SQL,or ETL pipelinesand experience communicating results ...
Data Scientist II - Asset Analytics and Transportation Modeling
Minneapolis, MN · On-site
$74.42K - $139.53K/yr
Bachelor's degree in data science, statistics, computer science, computer engineering, or ... ProficiencywithGIS,Python, R, SQL,or ETL pipelinesand experience communicating results ...
Data Scientist
Minneapolis, MN · On-site +1
Data Science, Geospatial Data, Geospatial Modeling, Python (Programming Language) Bachelor's Degree or equivalent experience| Required Work Arrangement Shipt considers candidates located near a Shipt ...
Data Scientist
Minneapolis, MN · On-site +1
Data Science, Geospatial Data, Geospatial Modeling, Python (Programming Language) Bachelor's Degree or equivalent experience| Required Work Arrangement Shipt considers candidates located near a Shipt ...
... Grade Python / Model Deployment Algorithm Design & Variable Optimization Quantum Annealing ... Bridge the gap between data science and DevOps by writing production-grade code. Ensure models are ...
... Grade Python / Model Deployment Algorithm Design & Variable Optimization Quantum Annealing ... Bridge the gap between data science and DevOps by writing production-grade code. Ensure models are ...
Data Scientist, Applied Research
$132.80K - $219.10K/yr
Imagine loving what you do and where you do it. Job Category Data Science Compensation Overview The ... Become a mentor or resource for less experienced analytic talent, onboard new employees and interns ...
Data Scientist, Applied Research
$132.80K - $219.10K/yr
Imagine loving what you do and where you do it. Job Category Data Science Compensation Overview The ... Become a mentor or resource for less experienced analytic talent, onboard new employees and interns ...
Internship Python Data Science information
What are the key skills and qualifications needed to thrive as an Internship Python Data Science, and why are they important?
To thrive as an Internship Python Data Science, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by coursework or academic projects in data science or related fields. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, and Jupyter Notebooks is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication are valuable soft skills for standing out in this role. These skills ensure interns can analyze data, contribute to team projects, and grow quickly in a fast-evolving technical environment.
What types of projects can I expect to work on during a Python Data Science internship?
As a Python Data Science intern, you will often work on projects involving data cleaning, exploratory data analysis, model building, and visualization using Python libraries like pandas, NumPy, and scikit-learn. You may assist in preparing datasets, automating data pipelines, or supporting senior data scientists with real-world business problems such as customer analytics or predictive modeling. Collaboration with both technical and non-technical teams is common, providing valuable exposure to the end-to-end data science workflow and opportunities to present your findings.
What is an Internship Python Data Science position?
An Internship Python Data Science position is an entry-level role designed for students or recent graduates to gain practical experience in data science using Python. Interns typically work under the supervision of experienced data scientists, assisting with data analysis, cleaning, visualization, and sometimes building machine learning models. They may also collaborate on real-world projects, learning to use tools and libraries like pandas, NumPy, scikit-learn, and Jupyter Notebook. This internship helps individuals develop technical and analytical skills while building a foundation for a career in data science.
What is the difference between Internship Python Data Science vs Data Analyst Intern?
| Aspect | Internship Python Data Science | Data Analyst Intern |
|---|---|---|
| Required Skills | Python, SQL, statistics, machine learning basics | Excel, SQL, data visualization tools |
| Work Environment | Tech companies, startups, research labs | Business, finance, marketing sectors |
| Typical Tasks | Data cleaning, modeling, predictive analysis | Data reporting, dashboard creation, trend analysis |
Internship Python Data Science and Data Analyst Intern roles share common skills like SQL and data handling but differ mainly in focus. Data Science internships emphasize programming, modeling, and machine learning, while Data Analyst internships focus on data visualization and reporting. Both are valuable entry points in data careers, often found in similar industries and work environments.
What are popular job titles related to Internship Python Data Science jobs in Minnesota? For Internship Python Data Science jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Internship Python Data Science jobs in Minnesota look for? The top searched job categories for Internship Python Data Science jobs in Minnesota are:
Full-time
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Deloitte rating
8.1
Based on 86 frontline employees who took The Breakroom Quiz
59th of 138 rated financial services
Job description
Job Summary:
Deloitte is a leading professional services firm that helps clients navigate their most critical moments and transformational initiatives. The Data Science Manager at SFL Scientific will lead a team to design, develop, and deploy AI solutions across various industries, ensuring the technical direction and successful delivery of client engagements.
Responsibilities:
• Develop and manage a team of developers to deliver novel solutions in the AI and GenAI domains.
• Be responsible for the technical direction of client engagements while defining the project strategy, communicating complex concepts to both technical and non-technical audiences, and leading solution development to solve our clients' use cases.
• Provide leadership for our comprehensive data science and AI initiatives, developing and executing strategies that deliver measurable business and scientific outcomes.
• Support identification of high-value AI opportunities that drive industry advantage, representing an organization's AI vision through strategic delivery and industry.
• Serve as the technical lead on projects to drive the technical strategy, roadmap, and prototyping of AI/ML solutions to meet each clients' unique requirements.
• Engage and guide a diverse set of clients with high autonomy in AI strategy and adoption, including understanding organizational needs, performing exploratory data analysis (EDA), building and validating models, and deploying models into production.
• Lead comprehensive AI initiatives spanning predictive and generative AI, overseeing development of advanced models and ensuring systems are scalable, efficient, and adhere to requirements and AI guidelines.
• Support an interdisciplinary team of data scientists, engineers, and solution architects to achieve technical delivery objectives and real-world performance for production and research applications.
• Lead in the research and adoption of industry best practices for validation and deployment of models; support best delivery practices, code review, UAT, unit, and integration tests.
• Present to key stakeholders, including solution findings and options for potential deployment infrastructure, hardware, software, cloud, etc.
• Mentor, motivate, and coach junior data scientists on technical best practices and inspire professional development.
• Develop key skillsets and delivery experience to grow into leadership or non-technical management and business roles.
Qualifications:
Required:
• Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
• 6+ years of experience working in data science, data engineering, software engineering, or MLOps
• 6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision to graph models
• 6+ years of experience in core programming languages and data science packages (Python, Keras, PyTorch, Pandas, Scikit-learn, Docker, Kubernetes, etc.)
• 6+ years of experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of developed algorithms
• 4+ years of experience managing teams and delivering complex and critical projects
• Live within commuting distance to one of Deloitte's consulting offices
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available
Preferred:
• Experience with cloud deployment (AWS, Azure, GCP), such as building and scaling in AWS SageMaker or Azure ML Studio
• Experience with developing and testing GenAI solutions
• Experience in a client-facing role or internal AI product development role
• Highly proficient written and verbal skills to support briefings, proposals, technical sprint plans, solution reports, progress updates, and executive presentations
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.
Deloitte is a leading professional services firm that helps clients navigate their most critical moments and transformational initiatives. The Data Science Manager at SFL Scientific will lead a team to design, develop, and deploy AI solutions across various industries, ensuring the technical direction and successful delivery of client engagements.
Responsibilities:
• Develop and manage a team of developers to deliver novel solutions in the AI and GenAI domains.
• Be responsible for the technical direction of client engagements while defining the project strategy, communicating complex concepts to both technical and non-technical audiences, and leading solution development to solve our clients' use cases.
• Provide leadership for our comprehensive data science and AI initiatives, developing and executing strategies that deliver measurable business and scientific outcomes.
• Support identification of high-value AI opportunities that drive industry advantage, representing an organization's AI vision through strategic delivery and industry.
• Serve as the technical lead on projects to drive the technical strategy, roadmap, and prototyping of AI/ML solutions to meet each clients' unique requirements.
• Engage and guide a diverse set of clients with high autonomy in AI strategy and adoption, including understanding organizational needs, performing exploratory data analysis (EDA), building and validating models, and deploying models into production.
• Lead comprehensive AI initiatives spanning predictive and generative AI, overseeing development of advanced models and ensuring systems are scalable, efficient, and adhere to requirements and AI guidelines.
• Support an interdisciplinary team of data scientists, engineers, and solution architects to achieve technical delivery objectives and real-world performance for production and research applications.
• Lead in the research and adoption of industry best practices for validation and deployment of models; support best delivery practices, code review, UAT, unit, and integration tests.
• Present to key stakeholders, including solution findings and options for potential deployment infrastructure, hardware, software, cloud, etc.
• Mentor, motivate, and coach junior data scientists on technical best practices and inspire professional development.
• Develop key skillsets and delivery experience to grow into leadership or non-technical management and business roles.
Qualifications:
Required:
• Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
• 6+ years of experience working in data science, data engineering, software engineering, or MLOps
• 6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision to graph models
• 6+ years of experience in core programming languages and data science packages (Python, Keras, PyTorch, Pandas, Scikit-learn, Docker, Kubernetes, etc.)
• 6+ years of experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of developed algorithms
• 4+ years of experience managing teams and delivering complex and critical projects
• Live within commuting distance to one of Deloitte's consulting offices
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available
Preferred:
• Experience with cloud deployment (AWS, Azure, GCP), such as building and scaling in AWS SageMaker or Azure ML Studio
• Experience with developing and testing GenAI solutions
• Experience in a client-facing role or internal AI product development role
• Highly proficient written and verbal skills to support briefings, proposals, technical sprint plans, solution reports, progress updates, and executive presentations
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.