Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 2nd June 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds. Show more Show less

Overview Overview Does the challenge of scaling a fast-growing company with the latest in data science and AI methodologies and tooling excite you? Using your business instincts and creativity, you will leverage your business, data science and AI acumen to support a highly strategic, mission-critical customer friction identification initiative. Atlassian is accelerating its journey to the cloud, and investments in AI to power our future growth. This role aims to leverage both NLP/LLM and other data science methods to identify areas of customer friction from large amounts of text data and build tools and solutions that will help us identify friction faster and improve our products faster. If you love blazing new innovative trails, making the complex simple and driving decision-making speed across business units with data insights, then read on! Atlassian is looking for a Senior Data Scientist to be the wizard who will uncover valuable insights from large amounts of text data which will help the business improve our products. We're looking for someone with superb business instincts, comfort with executive stakeholders, proficiency in statistical analyses, expertise in ML development, ML deployment, and experience partnering with cross-functional teams . We are looking for someone with curiosity, and creativity in problem-solving and someone who is willing to jump in the deep end and learn new methods and skills as needed. Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Responsibilities Influence strategy & important decisions around customer friction by blending end-to-end business acumen with advanced data science methodologies Define, set and report on department level KRs to the CSS Executive team LLM and NLP ecosystem is rapidly evolving and a keen interest and ability to take new research techniques in this domain and applying them to Atlassian use cases is critical. Build and implement machine learning models and NLP/LLM tooling to accelerate Atlassian’s growth and improve product quality. Envision, scope, and lead high impact projects by collaborating with Operations, Engineering, Program Management and Product Management Foster a world-class Data Science culture by leading training on technical concepts, and driving continuous learning. Qualifications Experience applying your Data Science skills to identify and lead projects which have had impact on business strategy and performance 5+ years of experience in Data Science or related fields. (Preferred - 7+ years experience with a post-graduate degree in a quantitative discipline like Statistics, Mathematics, Econometrics, Computer science) Expertise in applying a broad variety of ML methods including NLP and LLM to solve business problems and a strong sense of when to apply them to the problem at hand Experience in managing ML projects end-to-end including deployment and monitoring. Expertise in SQL and a high level of proficiency in another data science programming language (e.g Python, R) with expertise in libraries like Pandas, Numpy, Scikit-learn etc. A very high bar for output quality, while balancing "having something now" vs. "perfection in the future" Comfort explaining complex concepts to diverse audiences and creating compelling stories for non-data experts Proficiency in visualization tools (e.g. Streamlit, Tableau, R-shiny) and libraries (e.g. - matplotlib, bokeh) Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits . About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh . Show more Show less

osition: Data Scientist Location: Chennai, India (Work from Office) Experience: 2–5 years About the Opportunity: Omnihire is seeking a Data Scientist to join a leading AI-driven data‐solutions company. As part of the Data Consulting team, you’ll collaborate with scientists, IT, and engineering to solve high-impact problems and deliver actionable insights. Key Responsibilities: Analyze large, structured and unstructured datasets (SQL, Hadoop/Spark) to extract business-critical insights Build and validate statistical models (regression, classification, time-series, segmentation) and machine-learning algorithms (Random Forest, Boosting, SVM, KNN) Develop deep-learning solutions (CNN, RNN, LSTM, transfer learning) and apply NLP techniques (tokenization, stemming/lemmatization, NER, LSA) Write production-quality code in Python and/or R using libraries (scikit-learn, TensorFlow/PyTorch, pandas, NumPy, NLTK/spaCy) Collaborate with cross-functional teams to scope requirements, propose analytics solutions, and present findings via clear visualizations (Power BI, Matplotlib) Own end-to-end ML pipelines: data ingestion → preprocessing → feature engineering → model training → evaluation → deployment Contribute to solution proposals and maintain documentation for data schemas, model architectures, and experiment tracking (Git, MLflow) Required Qualifications: Bachelor’s or Master’s in Computer Science, Statistics, Mathematics, Data Science, or a related field 2–5 years of hands-on experience as a Data Scientist (or similar) in a data-driven environment Proficiency in Python and/or R for statistical modeling and ML Strong SQL skills and familiarity with Big Data platforms (e.g., Hadoop, Apache Spark) Demonstrated experience building, validating, and deploying ML/DL models in production or staging Excellent problem-solving skills, attention to detail, and ability to communicate technical concepts clearly Self-starter who thrives in a collaborative, Agile environment Nice-to-Have: Active GitHub/Kaggle portfolio showcasing personal projects or contributions Exposure to cloud-based ML services (Azure ML Studio, AWS SageMaker) and containerization (Docker) Familiarity with advanced NLP frameworks (e.g., Hugging Face Transformers) or production monitoring tools (Azure Monitor, Prometheus) Why Join? Work on high-impact AI/ML projects that drive real business value Rapid skill development with exposure to cutting-edge technologies Collaborative, Agile culture with mentorship from senior data scientists Competitive compensation package and comprehensive benefits Show more Show less

Job Title: Data Scientist Intern Job ID: 9740 Work Mode: Remote Experience Level: Entry Level (Fresher) Stipend: ₹8,500 per month About The Role We’re looking for a motivated and curious Data Scientist Intern to join our remote team. This internship offers hands-on experience in real-world data projects, from data preprocessing to machine learning and visualization. It’s a great opportunity for freshers who want to build a strong foundation in data science and analytics. Key Responsibilities Data Collection & Preprocessing: Gather and clean data from various sources such as databases, APIs, and spreadsheets Exploratory Data Analysis: Analyze data using statistics and visualizations to uncover patterns and insights Machine Learning: Assist in building and evaluating machine learning models for predictive tasks Data Visualization & Reporting: Create reports and dashboards using tools like Tableau, Power BI, Matplotlib, or Seaborn Cross-Functional Collaboration: Work with teams including engineering and product to support data-driven initiatives Documentation: Maintain detailed documentation of data workflows, tools used, and insights generated Continuous Learning: Stay updated with industry best practices and emerging tools in data science What We’re Looking For Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics, or related fields Proficiency in Python or R for data analysis and machine learning Familiarity with Pandas, NumPy, SciPy, and SQL Basic knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch Ability to visualize and interpret data effectively Strong analytical and communication skills Eagerness to learn and grow in a fast-paced environment Eligibility Open to freshers and recent graduates Candidates from all technical and analytical backgrounds are encouraged to apply Note: This is a paid internship.Skills: tableau,machine learning,matplotlib,seaborn,power bi,data analysis,pandas,sql,python,r,scipy,numpy,data visualization,data science Show more Show less

Job Title: Data Scientist Location-Mumbai Exp-6-7 yrs Education-Full time B.E. / B. Tech / M. Tech Required Technical Skill Set: Programming Skills knowledge of statistical programming languages like R, Python with MS Excel and database query languages like SQL is desirable. • Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies. • Machine Learning – good knowledge of machine learning methods like Supervised, Unsupervised, k-Nearest Neighbours, Naive Bayes, SVM, Decision Tree, Random Forest, KMeans, Advanced Regression Methods (Lasso Regression, Ridge Regression), etc. • Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques. • Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description. • Experience with Data Visualization Tools like matplotlib, ggplot, tableau that helps to visually encode data. • Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience. • Hands-on experience with data science tools • Problem-solving aptitude • Analytical mind and great business sense Show more Show less

Job Description Join our Wealth Management team and be part of a global leader in financial services! As an Associate within the Advisor and Investor Engagement Analytics team, you will leverage technical skills, interpersonal abilities, and financial market knowledge to autonomously drive projects forward. You will collaborate with sales, investments, and controls partners to create business insights and develop tools for Advisors and Investors. Your role involves managing complex business challenges, tight deadlines, and engaging with senior management. Job Responsibilities Collaborate effectively as a team player with an entrepreneurial mindset and strong interpersonal skills to engage with colleagues across the firm. Navigate complex tasks and manage priorities in a dynamic professional environment. Demonstrate initiative, energy, and confidence in completing assignments with minimal supervision. Maintain attention to detail in data and project tasks. Exhibit excellent communication and relationship management skills. Utilize business and market knowledge, along with data expertise, to provide valuable insights to business leaders. Partner with key stakeholders to identify optimal solutions, define roadmaps, and execute them using SQL, Alteryx, Python, and/or Tableau. Conduct in-depth data analysis using Alteryx/Python. Develop dynamic dashboards for senior management using Tableau. Required Qualifications, Capabilities, And Skills Understanding of all relevant investment products (managed accounts, equities, fixed income, mutual funds, ETFs). BE/BTech in Comp Science, Information Technology, Data Science, Electronics, Electronics and Telecommunication OR Masters in Data Science, Business Intelligence, Data Analytics. 4+ years of relevant experience in data & analytics. Demonstrated experience in Alteryx /SQL/Python (Numpy, Pandas, Matplotlib, Seaborn). Demonstrated experience in Tableau/PowerBI/Qliksense. Automation skills with demonstrated experience in LLM based automation, AI frameworks like PyTorch etc. Possess hard programming and data modeling skills combined with the softer communication, analytical thinking and problem-solving skills needed to scope, develop, and deliver elegant solutions to complex problems. Preferred Qualifications, Capabilities, And Skills MBA or CFA designation is a plus. Experience in equity, fixed income, foreign exchange trading, or analytics roles is advantageous. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. Show more Show less

Are you looking for a career move that will put you at the heart of a global financial institution? Then bring your skills in data-driven modelling and data engineering to Citi’s Global FX Team. By Joining Citi, you will become part of a global organization whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Team/Role Overview The FX Data Analytics & AI Technology team, within Citi's FX Technology organization, seeks a highly motivated Full Stack Data Scientist / Data Engineer. The FX Data Analytics & Gen AI Technology team provides data, analytics, and tools to Citi FX sales and trading globally and is responsible for defining and executing the overall data strategy for FX. The successful candidate will be responsible for developing and implementing data-driven models, and engineering robust data and analytics pipelines, to unlock actionable insights from our vast amount of global FX data. The role will be instrumental in executing the overall data strategy for FX and will benefit from close interaction with a wide range of stakeholders across sales, trading, and technology. We are looking for a proactive individual with a practical and pragmatic attitude, ability to build consensus, and work both collaboratively and independently in a dynamic environment. What You’ll Do Design, develop and implement quantitative models to derive insights from large and complex FX datasets, with a focus on understanding market trends and client behavior, identifying revenue opportunities, and optimizing the FX business. Engineer data and analytics pipelines using modern, cloud-native technologies and CI/CD workflows, focusing on consolidation, automation, and scalability. Collaborate with stakeholders across sales and trading to understand data needs, translate them into impactful data-driven solutions, and deliver these in partnership with technology. Develop and integrate functionality to ensure adherence with best-practices in terms of data management, need-to-know (NTK), and data governance. Contribute to shaping and executing the overall data strategy for FX in collaboration with the existing team and senior stakeholders. What We’ll Need From You 12 to 18 years experience Master’s degree or above (or equivalent education) in a STEM discipline. Proven experience in software engineering and development, and a strong understanding of computer systems and how they operate. Excellent Python programming skills, including experience with relevant analytical and machine learning libraries (e.g., pandas, polars, numpy, sklearn, TensorFlow/Keras, PyTorch, etc.), in addition to visualization and API libraries (matplotlib, plotly, streamlit, Flask, etc). Understanding of Gen AI models , Vector databases , Agents and follow the market trends. Its desirable to have a hands-on experience on these. Experience developing and implementing quantitative models from data in a financial context. Proficiency working with version control systems such as Git, and familiarity with Linux computing environments. Experience working with different database and messaging technologies such as SQL, KDB, MongoDB, Kafka, etc. Familiarity with data visualization and ideally development of analytical dashboards using Python and BI tools. Excellent communication skills, both written and verbal, with the ability to convey complex information clearly and concisely to technical and non-technical audiences. Ideally, some experience working with CI/CD pipelines and containerization technologies like Docker and Kubernetes. Ideally, some familiarity with data workflow management tools such as Airflow as well as big data technologies such as Apache Spark/Ignite or other caching and analytics technologies. A working knowledge of FX markets and financial instruments would be beneficial. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

AI/ML Internship Opportunity (Remote, 1 Month – Unpaid) ✅ No THOUSANDS OF registration fees, no THOUSANDS OF joining fees, no course purchases — this is a 100% skill-focused internship designed to give you hands-on experience in Artificial Intelligence and Machine Learning using real-world tools, datasets, and techniques. 📍 Location: Remote ⏳ Duration: 1 Month 💸 Compensation: Unpaid 🎓 Eligibility: Open to all 1st, 2nd, 3rd, and 4th Year Students, as well as Recent Graduates 🔍 About the Internship: Elevate Labs offers a practical internship aimed at providing real-world exposure in the fast-evolving field of AI and Machine Learning. This program helps you work on live datasets, apply ML models, and understand core concepts under the guidance of industry professionals. 🎯 No fluff — just structured learning, model building, evaluation, and real implementation that prepares you for job roles in AI/ML. ✨ What You’ll Gain: ✔️ MSME Registered Internship Certificate ✔️ Letter of Recommendation (LOR) for top performers ✔️ Top Performer Badge to boost your resume and LinkedIn profile ✔️ Opportunity for a Full-Time Role — Top 10 performers will be considered 🌟 Who Should Apply? Students from any year (1st–4th) Recent Graduates Anyone interested in AI, Machine Learning, or Data Science 🧠 Skills You’ll Practice: Python for Data Science and ML Supervised and Unsupervised Learning Algorithms Model Training, Testing, and Evaluation Data Cleaning and Feature Engineering Regression, Classification, Clustering Techniques Introduction to Deep Learning Concepts ML Model Deployment (Basic) 🔧 Tools & Technologies: Python (NumPy, Pandas, Scikit-learn) Matplotlib / Seaborn for Visualization Jupyter Notebooks Google Colab TensorFlow / Keras (Intro level) Git, GitHub for Version Control 🚀 Ready to train models, solve problems with data, and explore the power of AI? This internship is your opportunity to gain hands-on AI/ML experience and build a strong foundation for a future in intelligent systems and data-driven solutions. Show more Show less

Company: Haris & Co Academy Location: Calicut, Kerala Job Summary: Haris & Co Academy is seeking a passionate and knowledgeable Data Analyst Mentor to train and support aspiring data professionals. In this role, you will lead sessions on data tools and techniques including Excel, SQL, Python, Python Libraries, Power BI, and Tableau, while guiding students through real-world projects and preparing them for careers in the data analytics field. You’ll also assist in maintaining academic quality, fostering practical skills, and supporting operational needs. Key Responsibilities: Mentorship: Provide one-on-one and group mentorship to students, helping them understand core data concepts. Curriculum Delivery: Deliver sessions on Excel, SQL, Python for Data Analysis, Tableau, and Power BI. Facilitate hands-on exercises and real-time case studies to reinforce learning. Industry Insights: Share practical use cases, industry trends, and tools used in modern data analytics roles. Skills Development: Train students in data collection, cleaning, analysis, visualization, and dashboard creation. Strengthen skills in storytelling with data and data-driven decision-making. Project Review: Evaluate student projects and dashboards for clarity, accuracy, and presentation standards. Career Support: Guide students in portfolio creation, LinkedIn optimization, and interview preparation. Provide insights into hiring trends and job roles in data analytics. Operational Support: Support academic and office-related tasks as needed to ensure smooth operations. Qualifications: Technical Skills: Proficient in Microsoft Excel, SQL, Python (Pandas, NumPy, Matplotlib, Seaborn), Power BI, and Tableau. Prefer Knowledge in Machine Learning Libraries. Solid understanding of data analytics workflows, statistics, and data storytelling. Communication & Mentorship: Strong communication and interpersonal skills. Passion for mentoring and teaching aspiring data professionals. Preferred: Familiarity with Jupyter Notebooks, Git/GitHub. Exposure to basic machine learning concepts is a plus. Prior teaching, training, or mentoring experience in an academic or bootcamp environment. Job Types: Full-time, Permanent Schedule: Day shift Work Location: In person

Job Description: We are urgently seeking an experienced and passionate Freelance Trainer who can independently deliver high-impact, hands-on training sessions in Data Science, Artificial Intelligence/Machine Learning, and Python . The assignment involves onsite training delivery at college campuses or corporate venues across Delhi NCR and Haryana . Key Responsibilities: Deliver engaging, practical sessions on: Python Programming Data Science Fundamentals and Tools Machine Learning & AI Techniques Design and deliver training modules based on real-world scenarios Prepare assessments, assignments, and interactive exercises Monitor and evaluate learner performance Provide post-training support if needed (doubt-clearing, guidance) Required Skills & Experience: Minimum 3+ years of experience in delivering college or corporate training Strong knowledge and hands-on experience in: Python (Core + Libraries: Pandas, NumPy, Matplotlib, etc.) Data Science (EDA, data wrangling, visualization tools) AI/ML (Regression, Classification, Clustering, and Deep Learning basics) Excellent communication and presentation skills Ability to manage classroom dynamics and engage learners Other Details: Type of Assignment: Freelance / Project-Based Mode: Onsite Only Locations: Multiple assignments across Delhi NCR & Haryana Lodging & Boarding: Provided by the company Duration: Depends on project (can range from a few days to a few weeks) Show more Show less

Job Title: Data Analyst Intern Company: NovaNectar Services Pvt. Ltd. Location: GMS Road Near By Kamla Palace Chowk Dehradun Job Type: Internship (3–6 Months) About NovaNectar Services Pvt. Ltd.: NovaNectar Services Pvt. Ltd. is a forward-thinking technology company delivering data-driven solutions and innovative digital services. We help businesses unlock insights from data to drive smarter decisions and optimize operations across industries. Internship Overview: We are looking for a detail-oriented and analytical Data Analyst Intern to join our data team. This internship provides an excellent opportunity to develop your skills in data collection, analysis, visualization, and reporting using real business data. Key Responsibilities: Collect, clean, and organize raw data from various sources. Assist in analyzing datasets to identify trends, patterns, and insights. Create visualizations, dashboards, and reports to communicate findings effectively. Support data validation and quality assurance processes. Collaborate with cross-functional teams to understand data needs and deliver actionable insights. Use statistical techniques and tools to interpret data and support decision-making. Stay updated on the latest data analysis tools and methodologies. Requirements: Currently pursuing or recently completed a degree/diploma in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related field. Basic knowledge of data analysis tools such as Excel, SQL, Python, or R. Familiarity with data visualization tools like Tableau, Power BI, or matplotlib is a plus. Strong analytical, problem-solving, and critical thinking skills. Attention to detail and ability to work with large datasets. Good communication skills to explain technical information clearly. Eagerness to learn and work collaboratively in a team environment. What You'll Gain: Hands-on experience analyzing real business data and solving practical problems. Mentorship from experienced data analysts and data scientists. Exposure to industry-standard tools and best practices. Certificate of completion and letter of recommendation based on performance. Potential opportunity for full-time employment after internship. Job Type: Internship Contract length: 3 months Pay: ₹2,000.00 - ₹4,000.00 per month Benefits: Paid sick time Paid time off Work from home Work Location: In person

About the Program: We are launching an intensive 6-month, placement-oriented training program designed to prepare students for successful careers in Data Science, Machine Learning, and AI. The program includes hands-on projects, real-world case studies, and practical industry exposure. We’re looking for an enthusiastic and experienced Faculty Member to deliver high-quality classroom training and mentorship in Python and its applications in Data Science. Key Responsibilities: - Teach and mentor students in core subjects including: - Python Programming - Data Science Libraries (NumPy, Pandas, Matplotlib, Seaborn) - Mathematics & Statistics for Data Science - Machine Learning & Deep Learning - Natural Language Processing (NLP) - Big Data & Cloud Basics - Power BI and Business Intelligence Tools - Conduct live classroom sessions, hands-on labs, and assessments. - Guide students in developing Data Science Projects and portfolios. - Provide career mentorship and interview preparation support. - Stay updated with the latest trends and tools in the Data Science ecosystem. - Collaborate with the curriculum team to improve course content and delivery. Requirements: - Bachelor's/Master’s degree in Computer Science, Data Science, Engineering, or a related field. - 2+ years of experience teaching or working in Data Science/Machine Learning. - Proficiency in Python, its Data Science stack, and tools like Power BI. - Strong understanding of ML algorithms, statistics, and data visualization. - Excellent communication and presentation skills. - Passion for teaching and mentoring students. Preferred Qualifications - Prior experience in offline classroom training. - Exposure to real-world Data Science or Analytics projects. - Certifications in Python, Data Science, or ML are a plus. Job Type: Full-time Pay: ₹25,000.00 - ₹30,000.00 per month Schedule: Day shift Work Location: In person

Chennai, India Bangalore, India Job ID: R-1074652 Apply prior to the end date: June 14th, 2025 When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What you'll be doing… Lead development of advanced machine learning and statistical models Design scalable data pipelines using PySpark Perform data transformation and exploratory analysis using Pandas, Numpy and SQL Build, train and fine tune machine learning and deep learning models using TensorFlow and PyTorch Mentor junior engineers and lead code reviews, best practices and documentation. Designing and implementing big data, streaming AI/ML training and prediction pipelines. Translate complex business problems into data driven solutions. Promote best practices in data science, and model governance . Stay ahead with evolving technologies and guide strategic data initiatives. What we're looking for… You'll need to have: Bachelor's degree or four or more years of work experience. Experience in Python, PySpark and SQL. Strong proficiency in Pandas, Numpy, Excel, Plotly, Matplotlib, Seaborn, ETL, AWS and Sagemaker Experience in Supervised learning models: Regression, Classification and Unsupervised learning models: Anomaly detection, clustering. Extensive experience with AWS analytics services, including Redshift, Glue, Athena, Lambda, and Kinesis. Knowledge in Deep Learning Autoencoders, CNN. RNN, LSTM, hybrid models Experience in Model evaluation, cross validation, hyper parameters tuning Familiarity with data visualization tools and techniques. Even better if you have one or more of the following: Experience with machine learning and statistical analysis. Experience in Hypothesis testing. Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders. If our company and this role sound like a fit for you, we encourage you to apply even if you don't meet every "even better" qualification listed above. #TPDRNONCDIO Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Apply Now Save Saved Open sharing options Share Related Jobs Senior Engineer Consultant-AI Science Save Chennai, India, +1 other location Technology Senior Engineer Consultant-Data Science Save Chennai, India, +1 other location Technology Senior Machine Learning Engineer Save Basking Ridge, New Jersey, +4 other locations Technology Shaping the future. Connect with the best and brightest to help innovate and operate some of the world’s largest platforms and networks.

Position : Python Developer (AI/ML Specialist) About the Role Are you passionate about Python and eager to apply it in cutting-edge AI/ML projects? We are looking for a Python Developer with a focus on AI and ML to join our dynamic team. You will be responsible for developing Python-based AI/ML models, building scalable pipelines, and deploying intelligent systems that solve complex real-world problems. Key Responsibilities Python-Centric Model Development : Design and implement AI/ML models in Python using libraries like TensorFlow, PyTorch, Scikit-learn, or Keras. Fine-tune Python-based pre-trained models for specific tasks. Write clean, modular, and well-documented Python code for AI/ML workflows. Data Handling with Python : Use Python tools like Pandas, NumPy, and PySpark to preprocess, clean, and manipulate large datasets. Develop data pipelines for efficient model training and evaluation. Integration & Deployment : Create Python-based APIs to integrate AI/ML models into web or enterprise applications using Flask, FastAPI, or Django. Deploy models with Python tools like Docker and monitor them using Python scripts and libraries. Performance Optimization : Leverage Python optimization techniques to improve model efficiency. Use Python profiling tools to debug and optimize code performance. Research & Collaboration : Stay updated on Python advancements and AI/ML frameworks. Collaborate with data scientists, engineers, and stakeholders to build Python-driven solutions. Qualifications & Skills Education : Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. Python Expertise : Proficiency in Python programming with a deep understanding of its ecosystem. Experience with Python AI/ML frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn. Strong familiarity with Python libraries for data analysis (Pandas, NumPy) and visualization (Matplotlib, Seaborn, Plotly). AI/ML Knowledge : Solid understanding of supervised, unsupervised, and deep learning techniques. Hands-on experience with Python implementations of ML algorithms. Tools & Platforms : Experience with version control tools like Git. Knowledge of deploying Python-based ML models using Docker, Kubernetes, or cloud platforms (AWS, GCP, Azure). Soft Skills : Strong problem-solving abilities and a proactive mindset. Excellent communication skills to convey technical ideas effectively. Preferred Experience Proficiency in Python-based Big Data tools like PySpark. Familiarity with Python frameworks for Natural Language Processing (NLP), such as spaCy or NLTK. Knowledge of MLOps tools for managing Python-based pipelines. Why Join Us? Work on exciting Python-driven AI/ML projects that make an impact. Grow in a collaborative environment where Python enthusiasts thrive. Competitive salary, benefits, and a culture of learning. Opportunity to lead with Python in cutting-edge AI technologies. How to Apply Submit your resume and examples of Python-based AI/ML projects to hr@whitemastery.com We’re excited to have you join our team and shape the future of AI with Python! Job Type: Contractual / Temporary Contract length: 6 months Work Location: In person

We are looking for a Data Scientist with a strong foundation in Python and a basic understanding of technologies such as Power BI, Pandas, SQL, Machine Learning, and related frameworks. Roles & Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Develop, test, and deploy machine learning models. Use tools and libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib for data analysis and visualization. Create dashboards and reports using tools like Power BI or Tableau. Collaborate with cross-functional teams to understand business problems and deliver data-driven solutions. Participate in code reviews and maintain clear, well-documented code. Continuously learn and stay updated with new technologies and techniques in data science. Requirements: Bachelor’s degree in Computer Science, Information Technology, or a related field. 1 to 2 years of experience as a Data Analyst or Data Scientist. Basic knowledge of front-end technologies such as HTML, CSS, JavaScript, or any other front-end framework. Understanding of RESTful APIs and database concepts (POSTGRESQL & MYSQL). Familiarity with data analysis tools and libraries (e.g., Pandas, NumPy) and basic knowledge of Machine Learning frameworks. Strong problem-solving skills and a willingness to learn. Good communication and teamwork abilities. Send your Resume: rajeshkumar.t@astralbusinessconsulting.com Job Type: Full-time Benefits: Health insurance Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Ability to commute/relocate: Goldwins, Coimbatore, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Work Location: In person Application Deadline: 06/06/2025 Expected Start Date: 09/06/2025

Company: Haris & Co Academy Location: Calicut, Kerala Key Responsibilities: 1. Mentorship & Guidance: Provide 1:1 and group mentorship to learners across all levels. Support students in debugging code, understanding concepts, and building real world projects. Monitor student progress and offer tailored learning strategies. 2. Curriculum Delivery: Deliver structured, project-based sessions across five modules: Python, Frontend (React.js), MySQL, Django, and API/Cloud deployment. Ensure understanding of both theoretical and practical aspects, including: Python basics to OOP and AI modules  React fundamentals and advanced state management Django ORM, views, templates, authentication REST APIs with Django REST Framework  Cloud deployment with PythonAnywhere 3. Real-World Projects: Guide students through 6+ end-to-end projects, including an AI-Integrated Full-Stack Web Application. Review student code and provide actionable feedback on performance, structure, and best practices. 4. AI & Industry Integration: Integrate Python libraries like NumPy, Pandas, and Matplotlib in web development contexts. Share real-world insights and use cases related to AI-powered web applications. 5. Career Support: Assist in GitHub portfolio building, project documenta on, and deploying apps. Guide students in resume writing, LinkedIn opmization, and interview preparation for developer roles. 6. Operational Support: Support daily academic operations, contribute to curriculum updates, and assist in organizing workshops, hackathons, or bootcamps. Qualifications: Technical Skills: Strong expertise in Python, Django, Django REST Framework, React.js, MySQL, HTML/CSS/JS. Proficient in Python libraries for data analysis and visualization (NumPy, Pandas, Matplotlib). Understanding of RESTful API design, version control (Git/GitHub), and basic cloud deployment (e.g., PythonAnywhere, Heroku). Bonus: Knowledge of asynchronous programming, image processing, and AI model integra on. Preferred: Prior experience as a trainer, mentor, or instructor in an academic/bootcamp setting. Familiarity with agile workflows and edtech platforms. Experience deploying web applications and integra ng third-party APIs. Job Type: Full-time Schedule: Day shift Work Location: In person

🧠 Data Science Intern (Remote) 🌐 🔍 Are you curious about machine learning, predictive models, and using data to solve real-world problems? Ready to gain hands-on experience in Data Science from anywhere in the world? This is your chance! 📍 Location: Virtual / Remote 💼 Type: Internship (Unpaid) 🕒 Duration & Working Hours: Flexible – Work on your own schedule! 🌟 About the Role: We’re looking for a passionate and driven Data Science Intern to join our remote team! This internship is an exciting opportunity for students, recent graduates, or self-learners who want to apply their data science skills in real projects and make a measurable impact. You'll work on datasets, build models, and generate actionable insights using tools and techniques from the world of data science — all within a flexible, remote environment. 🚀 What You’ll Gain: ✅ 100% Remote – Work from anywhere 🌍 ✅ Flexible Hours – You decide when to work ⏰ ✅ Hands-On Projects – Apply your data science skills to real challenges 📊 ✅ Portfolio Development – Boost your resume with real experience 📈 ✅ Mentorship – Learn from a supportive and collaborative team 👥 👀 Who We’re Looking For: 🎓 Students or recent graduates in Computer Science, Data Science, Engineering, or related fields 📈 Eager to explore machine learning, data modeling, and analysis 🛠️ Experience with Python, pandas, NumPy, scikit-learn, or similar tools 📊 Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, or Tableau) 🧠 Problem-solving mindset with attention to detail 💬 Independent, proactive, and good at remote collaboration 📅 Apply By: June 10th If you're ready to dive into data and gain practical experience in data science, we’d love to hear from you! Let’s turn data into discoveries together 💡📊 Show more Show less

Data Architect Qualifications: 12+ years of experience. Location: Kolkata | Pune | Bangalore | Indore Skills : Big data technologies and analytics: Majority of Hadoop, Hive, Cassandra, MDM, Data Lakes, Streaming data management and Analytics, Spark, Kafka, Redis, Databricks etc. Proficiency in programming languages such as Python, Java, Spark and associated libraries and frameworks. Hands-on and proficient in Databases (on-prem and Cloud), Messaging Apps, API Development and libraries. Very good knowledge of cloud-based architecture, APIs, frameworks for Data Engineering and Analytics. Knowledge of Data Governance & Data Quality Management, Metadata & Lineage Management, Exposure to enterprise level Data migration, Data Warehousing and DB modeling. Good understanding of Microservices and Test-Driven development. Familiarity with data visualization tools (e.g., Matplotlib, Seaborn). Python libraries for API development e.g. FastAPI, Flask, Django. Expertise standard ETL and Data Visualization tools like Talend, Tableau, Power BI etc. Expert in performance optimization and query tuning. Working knowledge on AI and ML including concepts in NLP, Computer Vision and breadth of ML algorithms, DL frameworks. Good knowledge of Gen AI based tools and frameworks. Role Description : 1. Play a role of solution architect/consultant for end-to-end Data Engineering and Analytics solutions including data, technology infrastructure and models. 2. Design and development of solutions according to the business objective. 3. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the solutions in the real world 4. Verifying data quality, and/or ensuring it via data cleaning 5. Supervising the data acquisition process if more data is needed 6. Defining data augmentation pipelines 7. Work with the technology team to plan, execute, and deliver Data Engineering Product based projects. Contribute towards the best practices regarding handling the projects. 8. Provide technical design, implementation, and support services around the creation of APIs, Models and Integration Pipelines. 9. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools 10. Environments Understanding of the auxiliary practical concerns in production systems. 11. Strong communication, presentation and consulting skills, including technical writing skills and the ability to listen and understand client issue. Show more Show less

About us: GUVI (Grab Your Vernacular Imprint) Geek Network Private Limited is an Edu-Tech incubated by IIT-Madras, IIM-Ahmedabad and Partnered with Google for Education. What sets us apart is the fact that we offer online learning in a plethora of different vernacular languages along with English. With more than 15+ lakh users currently learning from our platform, GUVI continues to grow at a tremendous rate. For more information about us, visit www.guvi.in Responsibilities: 1. Instant Query handling. 2. Handling LIVE sessions. 3. Providing various weekly assignments, assessments, and tasks to learners and evaluating them on a regular basis. 4. Creating individual real-time mini projects involving learners to do hands-on and helping them update their profiles. 5. Tech support advice and tips for the interview Preparation. 6. Building good Rapport with learners and helping them with the smooth learning process in all possible ways. Skills: Python Programming, Pandas, Probability and Statistics with Numpy, MongoDB, Data Visualisation in Python (Matplotlib, Seaborn), Data Analysis on Image and text data, Machine Learning, NLP. Experience: 3+ years experience as a Data Scientist is mandatory Job Type: Part-time Show more Show less

Job Title: Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 1st June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀 Show more Show less

Company Description IQEQ is a preeminent service provider to the alternative asset industry. IQEQ works with managers in multiple capacities ranging from hedge fund, private equity fund, and mutual fund launches; private equity fund administration; advisory firm set-up, regulatory registration and infrastructure design; ongoing regulatory compliance (SEC, CFTC, and 40 Act); financial controls and operational support services; compliance and operational related projects and reviews; and outsourced CFO/controller and administration services to private equity fund investments – portfolio companies, real estate assets and energy assets. Our client base is growing, and our existing clients are engaging the firm across the spectrum of our services offerings. Job Description About IQ-EQ: IQ-EQ is a leading investor services group that brings together that rare combination of global expertise and a deep understanding of the needs of clients. We have the know-how and the know you that allows us to provide a comprehensive range of compliance, administration, asset and advisory services to investment funds, global companies, family offices and private clients globally. IQ-EQ employs a global workforce of 5,000+ people located in 23 jurisdictions and has assets under administration (AUA) exceeding US$500 billion. IQ-EQ works with eight of the top 10 global private equity firms. This is an exciting time to be part of IQ-EQ, we are growing substantially and currently seeking talented Data individuals to come along for the journey into the Data, Analytics and Reporting Department. You will have the opportunity to utilise IQ-EQ's leading-edge technology stack whilst enjoying our continuous learning and development programme. What does the Analytics Engineer opportunity look like for you? You will play a pivotal role in the development and maintenance of interactive client, investor and operational team facing dashboards using Tableau, Power BI and other visual analytics tools. You will work closely with clients and senior stakeholders to capture their BI requirements, conduct data analysis using SQL, Python (or other open-source languages), and visualise the insights in an impactful manner. In order to be successful in this role we require the following experience Experience of interacting directly with external clients in a verbal manner and through those interactions be able to conceptualise what the overall end-to-end database architecture and data model would look like from the source to destination of the data Intermediate experience of working with structured and unstructured data, data warehouses and data lakes both on-prem and in cloud (Microsoft SQL Server, Azure, AWS or GCP) At least 5 yrs. of demonstrable experience in SQL Server and cloud-based data stores. Intermediate knowledge of SQL Server Data Tool such as SSIS or Azure Data Factory (at least 5 yrs. of demonstrable experience) Intermediate experience of ETL / ELT methods such as incremental and full load as well as various tools to implement these methods such as Azure Data Factory, Azure DataBricks, SSIS, Python, dbt, airflow, Alteryx Intermediate experience of implementing dimensional data models within analytics databases / data warehouses Intermediate knowledge of Python / Spark packages for analytical data modelling and data analysis (panda, NumPy, scikit, etc.) as well as data visualisation (matplotlib, plotly, dash, etc.) Intermediate experience of BI tools – Power BI, Tableau (at least 4 yrs. of demonstrable experience) Experience of various java libraries for front end development and embedding of visuals (i.e. D3, react, node, etc.) Tasks (what does the role do on a day-to-day basis) Engage with external clients, vendors, project reps, internal stakeholders from operations as well as client services teams to understand their analytics and dashboard requirements Maintain and enhance existing database architecture of the BI solution Conduct in-depth exploratory data analysis and define business critical features Work with key teams within Group Technology to get appropriate access and infrastructure setup to develop advanced visualisations (BI dashboards) Optimize SQL server queries, stored procedures, views to efficiently and effectively retrieve data from databases, employing the fundamentals of dimensional data modelling Ensure updates to tickets and work in progress are well communicated and escalations regarding the delivery being provided is kept to a minimum Maintain and enhance existing data solutions. Maintain best-practice data warehouse solutions that support business analytics needs. This is achieved using on-prem or cloud databases and different ETL / ELT programs and software, such as Azure Data Factory, SSIS, Python, PowerShell, Alteryx or other open source technology Create, maintain and document the different analytics solution processes created per project worked on Resolve IT and data issues. When database issues arise or development requests come in through the help desk, BI Developers work to resolve these problems. This requires an understanding of legacy solutions and issues. Key competencies for position and level Analytical Reasoning – Ability to identify patterns within a group of facts or rules and use those patterns to determine outcomes about what could / must be true and come to logical conclusions Critical Thinking – Ability to conceptualise, analyse, synthesise, evaluate and apply information to reach an answer or conclusion Conceptual Thinking and Creative Problem Solving - Original thinker that has the ability to go beyond traditional approaches with the resourcefulness to adapt to new / difficult situations and devise ways to overcome obstacles in a persistent manner that does not give up easily Interpersonal Savvy – Relating comfortably with people across all levels, functions, cultures & geographies, building rapport in an open, friendly & accepting way Effective Communication – Adjusting communication style to fit the audience & message, whilst providing timely information to help others across the organisation. Encourages the open expression of diverse ideas and opinions Results / Action Orientated and Determination – Readily taking action on challenges without unnecessary planning and identifies new opportunities, taking ownership of them with a focus on getting the problem solved Key behaviours we expect to see Role In addition to demonstrating our Group Values (Authentic, Bold, and Collaborative), the role holder will be expected to demonstrate the following: Facilitate open and frank debate to drive forward improvement Willingness to learn, develop, and keep abreast of technological developments An analytical mind, excellent problem-solving & diagnostic skills, attention to detail Qualifications Required Experience Education / Professional Qualifications Degree level education in Data Analytics or Computer Science is preferred but equivalent professional IT certification is acceptable. Background Experience A Minimum of 5 years’ experience in a developer / engineer role or similar DB experience. Good understanding of dimensional data modelling methodologies Experience with visualization and reporting tools namely Tableau and Power BI as well as Qlikview, Looker, ThoughtSpot Experience with Microsoft Fabric Platform Experience with MS Excel including PowerPivot Technical Experience of supporting a variety of SQL based applications. Hands on experience with SQL 2016 and above Experience with T-SQL and the ability to analyse queries for efficiency. Experience with MS SQL Server suite, including SSIS Experience in Fabric Data Factory, Azure Data Factory, Azure Synapse Experience in both batch (incremental and full load) and near-real time data ETL / ELT data processing Experience with version control software e.g. Git, Bitbucket as well as software development platforms such Azure DevOps and Jira Languages English Show more Show less

We're looking for a hands-on Computer Vision Engineer who thrives in fast-moving environments and loves building real-world, production-grade AI systems. If you enjoy working with video, visual data, cutting-edge ML models, and solving high-impact problems, we want to talk to you. This role sits at the intersection of deep learning, computer vision, and edge AI — building scalable models and intelligent systems that power our next-generation sports tech platform. Key Responsibilities Design, train, and optimize deep learning models for real-time object detection, tracking, and video understanding. Implement and deploy AI models using frameworks like PyTorch, TensorFlow/Keras, and Transformers. Work with video and image datasets using OpenCV, YOLO, NumPy, Pandas, and visualization tools like Matplotlib. Collaborate with data engineers and edge teams to deploy models on real-time streaming pipelines. Optimize inference performance for edge devices (Jetson, T4, etc.) and handle video ingestion workflows. Prototype new ideas rapidly, conduct A/B tests, and validate improvements in real-world scenarios. Document processes, communicate findings clearly, and contribute to our growing AI knowledge base. Requirements Strong command of Python and familiarity with C/C++. Experience with one or more deep learning frameworks: PyTorch, TensorFlow, Keras. Solid foundation in YOLO, Transformers, or OpenCV for real-time visual AI. Understanding of data preprocessing, feature engineering, and model evaluation using NumPy, Pandas, etc. Good grasp of computer vision, convolutional neural networks (CNNs), and object detection techniques. Exposure to video streaming workflows (e.g., GStreamer, FFmpeg, RTSP). Ability to write clean, modular, and efficient code. A self-starter and builder at heart — comfortable with ambiguity and fast execution. Passionate about solving real-world problems using AI. Comfortable working in a startup culture: lean teams, rapid iteration, high ownership. A collaborative team player who’s curious, coachable, and open to feedback. Undergraduate degree (Master’s or PhD preferable) in Computer Science, Artificial Intelligence, or a related discipline is preferred. A strong academic background is a plus. Nice To Have Experience deploying models in production, especially on GPU/edge devices. Interest in reinforcement learning, sports analytics, or real-time systems. About Company: We are a young startup developing our own indigenous sports analytical platform called TECH AT PLAY. It is the ultimate analytics ecosystem for athletes, It automatically records, categorizes, and analyzes performance while live-streaming the game to sports fans across the globe, all from a single platform. Show more Show less

Position Overview In Scope of Position based Promotions (INTERNAL only) Job Title: Group Strategic Analytics – Quantitative Strategist Specialist, AVP Location: Mumbai, India Role Description We are seeking a highly motivated and skilled Techno- Functional specialist to join our Market Risk Strats team within GSA. This team comprised of people with technology, front office quant and market risk and methodology experience. This role offers a unique opportunity to bridge the gap between quantitative finance & technology. You will be responsible for leveraging your strong Python programming skills to develop, implement and maintain analytical tools and systems for monitoring and managing market risk. Your deep understanding of market risk metrics will be crucial in translating business requirements into technical solutions and ensuring the accuracy and efficiency of our risk management processes. Our People Our people are outstanding individuals with agile minds, from a diverse range of backgrounds and cultures. They generate fresh ideas and innovative solutions which set us apart from our competitors and add value to our clients. Group Strategic Analytics (GSA) Analytics and technology are seen as central to all the main units of the bank, including Investment Bank, Corporate Bank and to Risk and Control functions. The Strategic Analytics team combines expertise in quantitative analytics, modelling, pricing and risk management with deep understanding of system architecture and programming. The primary output is a scalable and flexible Front Office pricing and risk management system with consistent interface to both the Middle Office and Back Office. The consistency in analytics and the technology platform ensures that no arbitrage can exist between various parts of the Bank as well as rational allocation of constrained resources, including risk budget, balance sheet, funding, and capital. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Reporting Development (Python): Design, develop, and maintain automated market risk reports, dashboards, and analytics tools using Python and relevant libraries (e.g., Pandas, NumPy, Matplotlib). Market Risk Expertise: Apply a strong understanding of market risk concepts, including VaR, stress testing, sensitivity analysis, and regulatory reporting requirements (e.g. Basel accords, CRR). Control Framework Enhancement (Python): Utilize Python to build and implement data quality checks, monitoring tools, and automated controls to strengthen the market risk control environment. Data Management: Work with large datasets, ensuring data integrity, accuracy, and timely availability for risk reporting and analysis. Experience with data warehousing and database technologies (e.g., SQL) is a plus. Stakeholder Collaboration: Partner effectively with market risk managers, front office trading desks, IT teams, and other relevant stakeholders to understand business requirements and translate them into technical solutions. Process Improvement: Identify opportunities to streamline existing market risk processes through automation and the application of technology. Documentation: Create and maintain clear and concise technical documentation for developed reports, tools, and processes. Project Management: Participate in and potentially lead projects related to market risk reporting and technology initiatives. Regulatory Awareness: Stay abreast of relevant market risk regulations and incorporate them into reporting and control frameworks. Troubleshoot and resolve technical issues related to market risk systems and applications. Participate in system testing, user acceptance testing (UAT) and audit reviews. Your Skills And Experience Bachelor's or Master's degree in a quantitative field such as Finance, Economics, Mathematics, Statistics, Computer Science, or a related discipline. Minimum of 8-10 years of experience in a market risk role within a financial institution. Strong proficiency in Python programming with hands-on experience in developing data-driven applications, reports, and analytics. Solid understanding of market risk methodologies, models, and metrics. Experience with financial data vendors and APIs. Excellent analytical, problem-solving, and quantitative skills. Strong communication and presentation skills, with the ability to explain technical concepts to both technical and non-technical audiences. Ability to work independently and as part of a team in a fast-paced environment. Familiarity with database technologies (e.g., SQL) is desirable. How We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment. Show more Show less

Job Description At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Overview As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity. Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing. With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace. Position Overview: Boeing Test and Evaluation team is currently looking for Associate BI Analyst to join their team in Bengaluru, KA. BI Analyst at Boeing make sure that products at the world’s largest aerospace company continue to meet the highest standards. From quality and reliability to safety and performance, their expertise is vital to the concept, design and certifications of a wide variety of commercial and military systems. Position Responsibilities: Develop and maintain high-quality Python code for data analysis and data visualization. Utilize Tableau to create interactive and insightful dashboards and reports for data-driven decision-making. Collaborate closely with data scientists and business analysts to understand requirements and translate them into effective software and visualization solutions. Participate in code reviews, ensuring adherence to best practices and standards. Optimize existing algorithms and systems for improved performance and scalability. Contribute to the integration of machine learning models into production systems. Troubleshoot and resolve issues related to data quality, performance, and visualization. Stay abreast of new technologies and methodologies in software development, data science, and business intelligence. Document software developments and maintain software documentation. Prepare data for analysis, including cleansing, conditioning, transforming, handling missing fields, identifying new feature variables, and handling multivariate data. Monitor production and deployment. Prepare decision support visualizations and reports, algorithms, models, dashboards, and/or tools. Support the development of software applications integrated with insights obtained from data science and business analysis activities. Employer will not sponsor applicants for employment visa status. Basic Qualifications (Required Skills/Experience): Bachelor's degree in Computer Science, Engineering, Business Analytics, or a related field or higher is required. Minimum 5+ years of professional experience in Python development and Tableau. Position requires hands-on experience in working with SQL, Python, R, Data modeling, and Tableau. Solid understanding of software development principles and lifecycle. Familiarity with data structures, algorithms, system design, and business intelligence concepts. Experience with Python libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn. Knowledge of version control systems, preferably Git. Strong problem-solving skills and ability to work in a team environment. Excellent verbal and written communication skills. Preferred Qualifications (Desired Skills/Experience): Candidate must be a self-starter with a positive attitude, high ethics, and a track record of working independently in developing the analytics solutions Must be able to work collaboratively with very strong teaming skills. Must be willing to work flexible hours (early or late as needed) to interface with Boeing personnel around the world. Develop and maintain relationships / partnerships with customers, stakeholders, peers, and partners to develop collaborative plans and execute on projects. Proactively seek information and direction to successfully complete the statement of work. Demonstrate strong written, verbal and interpersonal communication skills. Be fluent in written and spoken English, and have high degree of proficiency with MS Office tools to prepare comprehensive reports, presentations, proposals, and Statements of Work. Preferred experience in handling engineering data sets such as component failure data, engineering production process data, engineering test data, time series data etc. Preferred experience in deploying data science solutions on cloud platforms like PCF, GCP, etc Experience in C# Language or ReactJS is a huge plus. Typical Education & Experience: Bachelor or Master degree in Computer Science/ Engineering (Software / Instrumentation / Electronics / Electrical / Mechanical or equivalent discipline) Relocation: This position offers relocation based on candidate eligibility within India. Applications for this position will be accepted until Jun. 06, 2025 Export Control Requirements: This is not an Export Control position. Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India) Equal Opportunity Employer: We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law. We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews. Show more Show less

Requirement Must Have: • Bachelor’s degree in computer science, Engineering, or a related field. • 3 to 4 years of experience with PySpark for data processing and manipulation on large scale datasets. • Solid understanding of Spark architecture, including RDDs,DataFrames, and Datasets. • Strong programming experience in Python, including libraries such as pandas, numpy, and matplotlib. • Experience with Hadoop, Hive, and NoSQL databases (e.g.,Cassandra, MongoDB). • Working knowledge of cloud computing services (e.g., AWS, Azure, or Google Cloud). • Familiarity with batch and stream processing (using Kafka, Flink, Spark Streaming). • Strong problem-solving skills and attention to detail. • Excellent communication and teamwork skills. Good to have skills: • Experience with Apache Airflow or other orchestration tools for managing workflows. • Familiarity withDocker or Kubernetes for containerized data environments. • Experience in implementing and managing Continuous Integration (CI) and Continuous Delivery (CD) pipelines, with a focus on automating, testing, and deploying code in a fast-paced development environment. Show more Show less