data science

Microsoft

<div>Overview<div> 
Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world. 
 
Microsoft&rsquo;s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging &amp; real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.</div><div> 
Within Azure Data, the business intelligence team builds and maintains Power BI which is the undisputed leader in BI tool in the industry today and serves as the bridge between data professionals &amp; Office users. Power BI&rsquo;s core value proposition is to enable end users to get answers &amp; insights from their data through data visualization.
</div><div>The Power BI team is on the forefront of leveraging AI to get insights into data.</div><div> 
</div><div>We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.</div> 
Responsibilities<div> 
You will acquire the data necessary for your project plan and develop usable data sets for modeling. You&rsquo;ll also update internal best practices for data collection and preparation, and contribute to data integrity conversations with customers. 
 
You will evaluate your team&rsquo;s models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale. You&rsquo;ll also conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods. 
 
You will research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices. You&rsquo;ll also write extensible code that spans multiple features, and develop expertise in proper debugging techniques. 
 
You will define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities. You&rsquo;ll also apply a customer-oriented focus to understand their needs, and help drive realistic customer expectations.
</div><div>Embody our culture and values</div> 
Qualifications<div> 
Required/Minimum Qualifications</div><div>
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field 
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 
1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) 
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) 
OR equivalent experience. 
1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience. 
Experience with SQL and/or DAX query languages 
Hands on experience in design &amp; problem-solving skills with one or more programming languages, such as Python, Java, C# or C++ 
Ability to work independently, influence others, and solid communication and collaboration skills.
<div>ob Requirements: Other &amp; Additional</div><div>
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:</div><div><ul><li>
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.<div>
Preferred/Additional Qualifications</div><div>
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, 
OR related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) 
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, 
OR related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) 
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, 
OR related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) 
OR equivalent experience. 
Familiarity with Business Intelligence and Data Modeling 
Experience with large datasets and interest analyzing large amounts of data. 
Experience with building machine learning models on large scale data
<div>Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form (Accessibility | Microsoft Careers).</div><div>
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.<div>
#azdat</div><div>
#azuredata</div><div>
#powerbi 
</div></div></div></li></ul></div></div> 
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. 
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.</div>

Data Science II

Adobe

Our Company
 
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
 
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
 
What Makes This Opportunity Unique
 Join Adobe as a Data Science Engineer 3 and be a pivotal member of our Express Data Science team. You will have the opportunity to work on outstanding projects, collaborating with Product Management, Business, and Marketing teams to provide analytics support for our Creative Cloud business. Your work will directly impact our ability to deliver high-quality products and services, making a real difference in the digital experiences we offer our customers!
 Responsibilities
 Collect information from multiple platforms such as Databricks, Adobe Analytics, Power BI, and Amplitude.
 Evaluate, interpret, and analyze the express performance within the Creative Cloud business.
 Provide in-depth analytical support to help drive business decisions and strategies.
 Apply strong web and marketing analytics knowledge to offer actionable insights.
 Continuously seek, report, evaluate, and recommend improvements to improve Express traffic and conversion processes. Requirements
 5+ years of related work experience in online e-commerce environments. An MBA or equivalent experience is desirable.
 Proficiency in SQL and BI tools (Adobe Analytics, Power BI, Amplitude) for conducting analysis and producing insights.
 Demonstrated ability to perform in-depth data analysis and present insights effectively.
 Strong analytical and quantitative orientation, with advanced SQL knowledge in large, complex data environments.
 Experience with Azure Databricks data environment (SQL/Python) to synthesize and analyze data.
 Proficiency in Microsoft Excel, including the creation and use of pivot tables for analytics.
 Strong understanding of online product performance metrics.
 Excellent verbal and written communication skills, with the ability to convey complex information clearly. Why Adobe
 At Adobe, we value collaboration, innovation, and excellence. Working with us means being part of a team that is dedicated to pushing the boundaries of what's possible. We offer a dynamic and inclusive work environment where your ideas are valued, and your growth is supported. Our dedication to a diverse and inclusive environment ensures that everyone can thrive and contribute to our collective success.
 Join us and help build the future of digital experiences!
 
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
 
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

Data Science Engineer 3

American Express

<div>You Lead the Way. We&rsquo;ve Got Your Back.
At American Express, our culture is built on a 175-year history of innovation, shared Values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
 Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. Join Team Amex and let's lead the way together.
Overview of Business:
The Centre of Excellence (CoE) dedicated to Financial Crimes Decision Science and Analytics is responsible for the Enterprise-Wide financial crime risk management related programs across all our products and services globally. The team develops, implements, monitors and optimizes the automated transaction monitoring rules, reports, and other processes crafted to identify activity potentially indicative of financial crime behavior that is important from regulator view.
 By leveraging AI and ML Models, the Data Science team of the CoE has been a pioneer of the innovation. These models are intended to support and automate decision making for investigators, reducing time and effort spent in the Anti-Money Laundering Efforts of the firm. These innovative enhancements are critical input into making risk adjusted AML mitigation strategies across product and portfolios
How will you make an impact in this role?<ul><li>
Responsible for development, deployment, and validation of predictive model(s) and supporting use of models in AML use cases</li><li>
Understand the AML Program of AXP and the levers behind various decisions</li><li>
Analyse large amounts of data to derive business insights and create innovative solutions</li><li>
Leverage various traditional Unsupervised and supervised techniques, including isolation forest and gradient boosting methods</li><li>
Setup and develop use cases leveraging emerging technologies like GenAI</li><li>
Setup and monitor model performance using internal trackers and smart monitoring</li><li>
Working closely with GFCC, FIU, CFR capabilities teams to understand their requirements and provide solutions.</li><li>
Develop end-to-end data science solutions and work with internal governance team to get them approved</li><li>
Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant</li><li>
Innovate with a focus on developing newer and better approaches using big data &amp; machine learning solution</li><li>
Clear articulation and structuring of project findings across to the leadership and key partners</li><li>
Maintain external lens and be aware of developments in the field of Finance/Payments/Analytics etc</li></ul>
Minimum Qualifications<ul><li>
A strong balance of technical knowledge and discernment with a proven track record of driving innovation and business metrics. Decision Science related work experience is highly desired</li><li>
0-30 months of work experience in data science or statistics related field</li><li>
Excellent proficiency in Python (Data Science Related Libraries) and SQL</li><li>
Evidence of strong mathematical &amp; statistics knowledge</li><li>
Ability to drive project deliverables to achieve business results</li><li>
Ability to work effectively in a team environment</li><li>
Strong communication and interpersonal skills</li><li>
Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives</li><li>
Bachelor&rsquo;s degree in economics, Statistics, Computer Science Or related fields</li></ul>
Preferred Qualifications<ul><li>
Expertise in Coding, Algorithm, High Performance Computing</li><li>
Experience in version control (git), model deployment, developer environments</li><li>
A good understanding of AML Investigations, payments industry and decision science frameworks</li></ul> 


We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
<ul><li> Competitive base salaries.</li></ul><ul><li> Bonus incentives.</li></ul><ul><li> Support for financial-well-being and retirement.</li></ul><ul><li> Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location).</li></ul><ul><li> Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need.</li></ul><ul><li> Generous paid parental leave policies (depending on your location).</li></ul><ul><li> Free access to global on-site wellness centres staffed with nurses and doctors (depending on location).</li></ul><ul><li> Free and confidential counselling support through our Healthy Minds program.</li></ul><ul><li> Career development and training opportunities.</li></ul>
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.</div>

Analyst-Data Science

<div>
 
 
 
 
 You Lead the Way. We&rsquo;ve Got Your Back.
 
 
 
 
 
 
 
 
 At American Express, our culture is built on a 175-year history of innovation, shared
 
 
 
 
 Values
 
 
 
 
 and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.&nbsp;
 
 
 
 
 
 
 
 &nbsp;
 
 
 Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. Join Team Amex and let's lead the way together.&nbsp;
 
 
 
 
 
 
 
 
 Overview of Business:
 
 
 
 
 
 
 
 
 The Centre of Excellence (CoE) dedicated to Financial Crimes Decision Science and Analytics is responsible for the Enterprise-Wide financial crime risk management related programs across all our products and services globally. The team develops, implements, monitors and optimizes the automated transaction monitoring rules, reports, and other processes crafted to identify activity potentially indicative of financial crime behavior that is important from regulator view.
 
 
 
 
 
 
 
 &nbsp;By leveraging AI and ML Models, the Data Science team of the CoE has been a pioneer of the innovation. These models are intended to support and automate decision making for investigators, reducing time and effort spent in the Anti-Money Laundering Efforts of the firm. These innovative enhancements are critical input into making risk adjusted AML mitigation strategies across product and portfolios
 
 
 
 
 
 
 
 
 How will you make an impact in this role?
 
 
 
 
 
 <ul>
 <li>
 
 
 Responsible for development, deployment, and validation of predictive model(s) and supporting use of models in AML use cases
 
 
 
 </li>
 <li>
 
 
 Understand the AML Program of AXP and the levers behind various decisions
 
 
 
 </li>
 <li>
 
 
 Analyse large amounts of data to derive business insights and create innovative solutions
 
 
 
 </li>
 <li>
 
 
 Leverage various traditional Unsupervised and supervised techniques, including isolation forest and gradient boosting methods
 
 
 
 </li>
 <li>
 
 
 Setup and develop use cases leveraging emerging technologies like GenAI
 
 
 
 </li>
 <li>
 
 
 Setup and monitor model performance using internal trackers and smart monitoring
 
 
 
 </li>
 <li>
 
 
 Working closely with GFCC, FIU, CFR capabilities teams to understand their requirements and provide solutions.
 
 
 
 </li>
 <li>
 
 
 Develop end-to-end data science solutions and work with internal governance team to get them approved
 
 
 
 </li>
 <li>
 
 
 Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
 
 
 
 </li>
 <li>
 
 
 Innovate with a focus on developing newer and better approaches using big data &amp; machine learning solution
 
 
 
 </li>
 <li>
 
 
 Clear articulation and structuring of project findings across to the leadership and key partners
 
 
 
 </li>
 <li>
 
 
 Maintain external lens and be aware of developments in the field of Finance/Payments/Analytics etc
 
 
 
 </li>
 </ul>
 
 
 
 
 Minimum Qualifications
 
 
 
 
 
 <ul>
 <li>
 
 
 A strong balance of technical knowledge and discernment with a proven track record of driving innovation and business metrics. Decision Science related work experience is highly desired
 
 
 
 </li>
 <li>
 
 
 0-30 months of work experience in data science or statistics related field
 
 
 
 </li>
 <li>
 
 
 Excellent proficiency in Python (Data Science Related Libraries) and SQL
 
 
 
 </li>
 <li>
 
 
 Evidence of strong mathematical &amp; statistics knowledge
 
 
 
 </li>
 <li>
 
 
 Ability to drive project deliverables to achieve business results
 
 
 
 </li>
 <li>
 
 
 Ability to work effectively in a team environment
 
 
 
 </li>
 <li>
 
 
 Strong communication and interpersonal skills
 
 
 
 </li>
 <li>
 
 
 Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives
 
 
 
 </li>
 <li>
 
 
 Bachelor&rsquo;s degree in economics, Statistics, Computer Science Or related fields
 
 
 
 </li>
 </ul>
 
 
 
 
 Preferred Qualifications
 
 
 
 
 
 <ul>
 <li>
 
 
 Expertise in Coding, Algorithm, High Performance Computing&nbsp;
 
 
 
 </li>
 <li>
 
 
 Experience in version control (git), model deployment, developer environments
 
 
 
 </li>
 <li>
 
 
 A good understanding of AML Investigations, payments industry and decision science frameworks
 
 
 
 </li>
 </ul>
 
 
 
 
 &nbsp;
 
 
 
 
 
 
 We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 &middot;
 
 
 &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 
 
 
 Competitive base salaries.
 
 
 
 
 
 
 
 &middot;
 
 
 &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 
 
 
 Bonus incentives.
 
 
 
 
 
 
 
 &middot;
 
 
 &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 
 
 
 Support for financial-well-being and retirement.
 
 
 
 
 
 
 
 &middot;
 
 
 &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 
 
 
 Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location).
 
 
 
 
 
 
 
 &middot;
 
 
 &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 
 
 
 Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need.
 
 
 
 
 
 
 
 &middot;
 
 
 &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 
 
 
 Generous paid parental leave policies (depending on your location).
 
 
 
 
 
 
 
 &middot;
 
 
 &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 
 
 
 Free access to global on-site wellness centres staffed with nurses and doctors (depending on location).
 
 
 
 
 
 
 
 &middot;
 
 
 &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 
 
 
 Free and confidential counselling support through our Healthy Minds program.
 
 
 
 
 
 
 
 &middot;
 
 
 &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 
 
 
 Career development and training opportunities.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
 
 
 &nbsp;
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
 
 
 
 
</div>

Accenture

Project Role : Data Science Practitioner 
Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values.
 
Must have skills : MicroStrategy Business Intelligence 
Good to have skills : NA 
Minimum 5 year(s) of experience is required 
Educational Qualification : 15 years full time education 
 
Summary: As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing data, interpreting results, and providing insights that inform strategic decisions, all while fostering a culture of innovation and continuous improvement within the team. Roles &amp; Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing and best practices among team members to enhance overall team performance. - Monitor project progress and ensure alignment with business objectives, making adjustments as necessary. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in MicroStrategy Business Intelligence. - Strong analytical skills with the ability to interpret complex data sets. - Experience in developing and implementing AI and machine learning models. - Familiarity with data visualization techniques and tools. - Ability to communicate technical concepts to non-technical stakeholders. Additional Information: - The candidate should have minimum 5 years of experience in MicroStrategy Business Intelligence. - This position is based at our Hyderabad office. - A 15 years full time education is required.
 
15 years full time education

Data Science Practitioner

British Columbia International

Lead AI &amp; Data Science Trainer (Generative AI Specialist)About the RoleAre you a tech-savvy educator with a passion for the future of intelligence? The London Institute of Data Science and Research Center (LIDSRC) is looking for a dynamic AI Data Science Trainer to bridge the gap between complex theory and industry application.In this role, you won't just teach&mdash;you will inspire the next generation of AI professionals in Dubai and beyond by leading our comprehensive 14-week mastery program.Key Responsibilities* Curriculum Leadership: Design and deliver high-impact training on Machine Learning, Deep Learning, and Generative AI (LLMs, RAG, and Prompt Engineering).* Instructional Excellence: Lead engaging online and in-person sessions that transform beginners into job-ready professionals.* Content Creation: Build a robust library of educational assets, including interactive presentations, real-world coding challenges, and capstone projects.* Mentorship: Provide elite-level support through 1-on-1 project guidance, technical code reviews, and career coaching.* Industry Integration: Stay at the bleeding edge of AI (OpenAI, Mistral, LangChain) to ensure our curriculum remains the most advanced in the region.* Assessment: Monitor student growth through data-driven evaluations and provide actionable feedback to ensure 100% certification success.Required Qualifications &amp; Skills* Education: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a related quantitative field.* Experience: 3+ years of professional hands-on experience in AI/ML development.* Technical Mastery: * Languages: Expert-level Python.* Libraries: Scikit-learn, TensorFlow, PyTorch, Pandas, and NumPy.* Modern AI: Hands-on experience with OpenAI APIs, LangChain, and Vector Databases.* Tooling: Proficiency in Jupyter/Colab, Git, and Cloud Infrastructure (AWS/Azure/GCP).* Communication: Exceptional English verbal and written communication skills with the ability to simplify complex mathematical concepts.* Teaching Edge: Previous experience in corporate training, bootcamps, or university lecturing is highly preferred.Why Join Us?* Work at the forefront of the AI revolution in a high-growth market (UAE).* Collaborate with a global team of researchers and industry experts.* Shape the careers of hundreds of aspiring data scientists.Job Types: Part-time, ContractPay: AED3,000.00 - AED5,000.00 per month

AI & Data Science Trainer

V Patrol AI Pvt ltd

We're Hiring | Data Science Engineer InternshipDepartment: Data ScienceType: internshipApply Now: https://lnkd.in/gqYMhgTrJoin V-Patrol AI&mdash; a fast-paced, innovative cybersecurity company &mdash; as a Data Science Engineer. In this role, you'll help develop and deploy advanced machine learning and deep learning models, build scalable data pipelines, and deliver impactful insights in real-time to combat cyber threats.Key Responsibilities:Design &amp; develop machine learning and deep learning models for cybersecurity use cases.Build and manage data pipelines for structured/unstructured data (e.g., network logs, threat feeds).Develop and integrate APIs for model deployment and real-time data flow.Collaborate with software engineers, analysts, and stakeholders to drive data-driven decisions.Monitor model performance and optimize for production environments.Communicate findings effectively through dashboards, reports, and visualizations.Required Skills &amp; Experience:Education: Bachelor's/master's in data science, CS, Statistics, or a related field.Strong command over Python, pandas, scikit-learn, TensorFlow/PyTorch.Experience with REST APIs, Fast API/Flask, and data preprocessing techniques.Knowledge of ML/DL models like XGBoost, LSTMs, Transformers, etc.Exposure to cloud platforms (AWS/GCP), ETL tools, Docker/Kubernetes, etc.Cybersecurity experience is a plus (e.g., threat detection, incident response).Preferred (Bonus):Experience in adversarial ML and NLP.GitHub or portfolio of real-world projects in data science or cybersecurity.Job Type: InternshipPay: From ₹15,000.00 per monthWork Location: In person

Data Science Engineer Internship

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