Position: Data Analyst Intern (Full-Time) Company: Lead India Location: Remote Stipend: ₹25,000/month Duration: 1–3 months (Full-Time Internship) About Lead India: Lead India is a forward-thinking technology company that helps businesses make smarter decisions through data. We provide meaningful internship opportunities for emerging professionals to gain real-world experience in data analysis, reporting, and decision-making. Role Overview: We are seeking a Data Analyst Intern to support our data and product teams in gathering, analyzing, and visualizing business data. This internship is ideal for individuals who enjoy working with numbers, identifying trends, and turning data into actionable insights. Key Responsibilities: Analyze large datasets to uncover patterns, trends, and insights Create dashboards and reports using tools like Excel, Power BI, or Tableau Write and optimize SQL queries for data extraction and analysis Assist in data cleaning, preprocessing, and validation Collaborate with cross-functional teams to support data-driven decisions Document findings and present insights to stakeholders Skills We're Looking For: Strong analytical and problem-solving skills Basic knowledge of SQL and data visualization tools (Power BI, Tableau, or Excel) Familiarity with Python for data analysis (pandas, matplotlib) is a plus Good communication and presentation skills Detail-oriented with a willingness to learn and grow What You’ll Gain: ₹25,000/month stipend Real-world experience in data analysis and reporting Mentorship from experienced analysts and developers Remote-first, collaborative work environment Potential for a Pre-Placement Offer (PPO) based on performance Show more Show less

Company Profile Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries . As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture . Department Profile From global institutions to hedge funds, investors come to Morgan Stanley for sales, trading, and market-making services in almost every type of financial instrument in all the world’s financial markets. Morgan Stanley professionals use our network and technology to provide liquidity and sophisticated analysis, to manage risk and execute reliably in the fast-changing markets. Morgan Stanley’s Institutional Equity Division (IED) is a world leader in the origination, distribution and trading of equity, equity-linked and equity-derivative securities. Our broad and deep client relationships, market-leading platform and intellectual insights enable us to be a world-class service provider to our clients for their financing, market access and portfolio management needs. Global Markets Group is the offshoring arm of Morgan Stanley’s Sales & Trading businesses in India. It covers functions across IED and Fixed Income Division (FID) ranging from those associated with sales, trading, analytics, strats to risk management. Primary Responsibilities The Futures Content team is responsible for creating differentiated and value-added content and analyses around cross-asset futures markets, and engaging with institutional clients to drive Listed Derivatives revenues. We develop frameworks, rooted in a fundamental understanding of futures markets, to identify trading opportunities based on positioning, liquidity, and costs. Responsibilities For This Role Would Involve Working on Exploratory Data Analysis on historical time series data using Python (primary libraries: Pandas, Numpy, matplotlib, datetime). Pulling various stats on several market metrics like returns, liquidity, open interest changes, volumes, etc. Scheduling and running Jupyter notebooks, VBA macros that pull in the latest data inputs, refresh calculations, apply the methodology and generates positioning & liquidity reports. Automate processes through Python that can save time updating the futures model outputs. Troubleshoot errors on Python/ VBA macros that may occur while working on different frameworks. Working knowledge of Bloomberg. Skills Required (essential) 2-4 years of relevant working experience on Python, VBA and Excel Engineering Degree What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. Show more Show less

This role includes the following responsibilities and requirements: Architecture, design, development, debugging, documentation, and operation of large-scale systems designed for machine learning This includes distributed systems for data management and computation as well as web-oriented APIs and user interfaces Take pride and ownership in delivering delightful user experiences Lead other engineers and demonstrate best practices for software engineering Support and mentor junior engineers

About Us We are committed to empowering aspiring data scientists through industry-relevant training and hands-on guidance. Our training programs are designed to bridge the gap between academic learning and professional expertise. Job Overview We are looking for a skilled and enthusiastic Data Science Trainer to join our team. The trainer will be responsible for delivering high-quality training sessions, mentoring students, and equipping them with practical knowledge and skills to excel in the field of data science. Key Responsibilities Conduct engaging training sessions on key data science topics such as Python/R programming, data manipulation, data visualization, machine learning, deep learning, and statistics. Develop comprehensive lesson plans, course materials, and practical projects tailored to the curriculum. Provide hands-on guidance on real-world datasets and tools such as Jupyter Notebook, TensorFlow, PyTorch, and scikit-learn. Mentor students, resolve doubts, and provide constructive feedback to improve their skills. Stay updated with the latest industry trends, tools, and techniques and incorporate them into the training modules. Evaluate students' performance through tests, assignments, and practical projects and provide regular progress reports. Collaborate with the academic team to refine and update the curriculum to ensure relevance to the industry. Required Skills and Qualifications Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, or a related field. Proven experience as a Data Science Trainer or in a similar role. Proficiency in data science tools and libraries (e.g., Python, R, pandas, NumPy, Matplotlib, SQL). Hands-on experience with machine learning frameworks and tools such as TensorFlow, PyTorch, scikit-learn, etc. Strong understanding of statistics, probability, and linear algebra concepts. Excellent communication and presentation skills. Ability to simplify complex concepts for students of varying skill levels. Passion for teaching and mentoring aspiring data scientists. Preferred Skills Experience working on real-world data science projects. Knowledge of big data tools like Hadoop, Spark, or Tableau. Experience in cloud platforms like AWS, Google Cloud, or Azure. Industry certifications in data science or related fields. Why Join Us? Opportunity to shape the next generation of data scientists. Flexible work environment with competitive pay. Access to advanced tools and resources for training and professional growth. Collaborative and innovative culture. Job Types: Full-time, Permanent, Fresher Pay: ₹200,000.00 - ₹260,000.00 per year Benefits: Paid time off Schedule: Day shift Supplemental Pay: Performance bonus Shift allowance Yearly bonus Ability to commute/relocate: Peelamedu, Coimbatore, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Experience: total work: 1 year (Preferred) Work Location: In person

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: 28th May 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

Position: Data Scientist – Academic instruction and project supervision Objective: To appoint a qualified and research-oriented Data Scientist to contribute to academic instruction and project-based execution, supporting students in the domains of Data Science, Artificial Intelligence, and Analytics, with a focus on both conceptual rigor and applied innovation. 1. Essential Qualifications 1.1 Academic Background - Master's degree (M.Tech / M.E. / MCA / M.Sc.) in Data Science, Computer Science, Information Technology, or a closely related discipline from a recognized institution. - Ph.D. in a relevant area (awarded or ongoing) is desirable, particularly for senior academic ranks. 1.2 Experience - Minimum 2 years of teaching experience at the undergraduate/postgraduate level in an academic institution of repute. - Demonstrable expertise in project mentoring, with experience in facilitating interdisciplinary or industry-linked student projects. 1.3 Technical Competencies - Proficient in core data science tools and languages: Python, R, SQL, and statistical software. - Experience with machine learning libraries (Scikit-learn, TensorFlow, Keras) and data visualization platforms (Tableau, Power BI, Matplotlib, Seaborn). - Competence in cloud computing environments (AWS, Azure, Google Cloud Platform) is advantageous. 2. Desired Qualifications - Professional certification in Artificial Intelligence, Machine Learning, or Big Data Analytics (IBM, Google, Microsoft). - Practical experience in real-time project deployment or industry collaboration in a data science role. - Publication record in peer-reviewed journals and/or conference proceedings (Scopus or SCI-indexed preferred). - Exposure to version control (Git/GitHub), containerization (Docker), or DevOps tools used in data pipeline management. - Proven guidance in academic project outcomes leading to intellectual property, publications, or competition accolades. 3. Responsibilities - Deliver structured coursework and laboratory modules across data science topics: statistical modeling, data wrangling, machine learning, AI ethics, and applied analytics. - Design and mentor student capstone projects and live academic-industry collaborations. - Develop course content, project rubrics, and training sessions aligned with industry best practices. - Collaborate with departments and research centers to initiate funded projects and interdisciplinary work. 4. Behavioral Attributes - Excellent communication and academic writing skills. - Strong mentoring orientation, fostering inquiry-driven learning and research aptitude. - Ability to work independently and within multidisciplinary teams to enhance institutional academic stature. 5. Salary Designation Monthly Gross Salary (INR) Remarks Assistant Professor (Entry Level) ₹45,000 – ₹60,000 Based on academic qualifications and teaching experience Assistant Professor (Senior Scale) ₹60,000 – ₹75,000 Ph.D. preferred; active research contributors Note: Final will be commensurate with qualifications, teaching experience, research output, and performance during the interview process. Opportunities for performance-based increments and research incentives are available. 6. Interview and selection process The selection process for the Data Scientist – Academic Instruction and Project Supervision role will involve the following stages: Application Review: Screening of submitted CVs/resumes and academic credentials. Technical Evaluation: Shortlisted candidates will be invited for a technical assessment covering topics in data science, analytics, and teaching pedagogy. Teaching Demonstration: Candidates may be required to deliver a 15–20 minute lecture on a given topic to evaluate teaching ability and communication skills. Personal Interview: Final round with the academic committee to assess subject knowledge, research orientation, and fitment to the institutional goals. Document Verification: Submission and verification of academic and professional credentials. Interview mode: Online/Offline (to be communicated via email to shortlisted candidates). Interview dates: 10th to 15th June 2025. (Final selection list will be published on the institutional website by 30th June 2025). Note: Candidates are advised to ensure the accuracy of their contact information and regularly check their registered email ID for updates. Contact details: Mr. S. Rupas Kumar, Director - HR & Finance, Public Administration, 4-7-40/2/A/NR, 3rd & 4th Floor, SMS Plaza, Bapuji Nagar, Main Road Nacharam, Hyderabad, Telangana, India. Pin – 500076. Email: rupas@mannabiotech.com website : www.mannabiotech.com Show more Show less

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 28th May 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

ob Title: Data Science & Data Analysis Trainer Location: Coimbatore (On-site) Employment Type: Full-time About Code Purple Academy: Code Purple Academy is a division of Vimix Technologies LLP, a Tamil Nadu-based tech company focused on bridging the gap between education and industry. Since 2022, Code Purple has been providing hands-on, project-based training in Full-Stack Development, Data Science, Data Analysis, and Video Editing to help students build real-world skills and launch their tech careers. Role Overview: We are hiring a Data Science & Data Analysis Trainer for our Coimbatore center. This role is open only to candidates who are native to Coimbatore or nearby areas. The trainer will teach Python, data analysis tools, and basic machine learning while guiding students through real-time projects and hands-on assignments. Key Responsibilities: ● Conduct in-person training sessions on Python, data analysis, visualization, and machine learning ● Use tools like Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, and SQL in practical sessions ● Guide students through project-based learning and evaluations ● Help maintain and update industry-relevant course content ● Support students with feedback, Q&A sessions, and job-readiness mentoring Required Skills: ● Strong knowledge of Python and core data science libraries ● Familiarity with data visualization, data cleaning, and EDA techniques ● Basic machine learning understanding (classification, regression, etc.) ● SQL knowledge for data handling and analysis ● Effective communication and a genuine passion for teaching ● Bonus: Familiarity with tools like Power BI, Tableau, or Jupyter Notebooks Eligibility: ● Only candidates from Coimbatore or nearby areas will be considered (native preferred) ● Freshers with good technical knowledge and interest in teaching are welcome ● Bachelor's degree in a relevant field preferred but not mandatory What We Offer: ● A supportive teaching environment within Vimix Technologies LLP ● Opportunity to build a long-term career in tech education ● Competitive salary and performance-based growth ● A chance to mentor and shape future tech professionals Unoda linkedin la post ah podu da. Job Types: Full-time, Fresher Pay: ₹12,000.00 - ₹15,000.00 per month Schedule: Day shift Application Question(s): Are you from Coimbatore or currently staying nearby? Are you genuinely interested in a training-based role in Data Science? Would you be able to join immediately? Work Location: In person Expected Start Date: 31/05/2025

Chicmic Studios Job Role: Data Scientist Experience Required: 3+ Years Skills Required: Data Science, Python, Pandas, Matplotlibs Job Description: We are seeking a Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus. Roles & Duties: Analyze and process large datasets using Python and Pandas. Develop and optimize machine learning models for predictive analytics. Create data visualizations using Matplotlib and Seaborn to support decision-making. Perform data cleaning, feature engineering, and statistical analysis. Work with structured and unstructured data to extract meaningful insights. Implement and fine-tune NER models for specific use cases (if required). Collaborate with cross-functional teams to drive data-driven solutions Required Skills & Qualifications: Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.). Experience in data analysis, statistical modeling, and machine learning. Hands-on expertise in data visualization using Matplotlib and Seaborn. Understanding of SQL and database querying. Familiarity with NLP techniques and NER models is a plus. Strong problem-solving and analytical skills. Contact: 9875952836 Office Address: F273, Phase 8B industrial Area, Mohali, Punjab. Job Type: Full-time Schedule: Day shift Monday to Friday Work Location: In person

About the job Job Title: Data Analyst Trainer Company: EdEdge Groups Location: Remote Experience Required: 0-2 years Company Description EdEdge Groups is a pioneering data intelligence company founded in 2023, specializing in developing advanced solutions that transform complex data into actionable insights for businesses. Our platforms empower organizations to uncover hidden patterns, optimize operations, and make informed decisions while prioritizing privacy and security. Role Description This is a full-time remote role for a Data Analyst Trainer at EdEdge Groups. The Data Analyst Trainer will be responsible for bellow points: Provide project management, documentation, content creation, training, and overall monitoring support to batch members. Train users via online webinars on big data tools and database maintenance. Ensure direct communication and implementation of corporate policies and procedures across corporate locations, including Australia, the United States, and the United Kingdom. Manage projects according to the standards and processes defined in the quality management system. Collaborate with sales, marketing, and customer success teams to drive product adoption, gather feedback, and iterate on product enhancements. Monitor product performance metrics and user feedback to ensure continuous improvement and optimize user satisfaction. Key Responsibilities Data Analysis: Analyze and interpret complex data sets to derive actionable insights. Market Research: Perform market research to understand trends and inform business strategies. Data Analytics: Apply data analytics techniques to generate insights and support decision-making. Data Visualization: Develop and maintain data visualizations using tools like Looker, Tableau, Power BI, matplotlib, and seaborn. Data Manipulation: Extract, manipulate, and analyze data using SQL and Python. Collaboration: Work with various teams to understand their data needs and deliver insights. Data Research: Conduct in-depth data research to gather relevant information. Qualifications Education: Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. Experience: 0-2 years in data research, data analytics, or a related field. Skills: Data Research and Data Analytics skills Analytical skills and market research experience Strong communication skills Ability to extract and manipulate data Experience with data visualization tools (Looker, Tableau, Power BI, matplotlib, seaborn) Attention to detail and problem-solving abilities Extract, manipulate, and analyze data using advanced SQL. Utilize advanced Excel techniques for data manipulation and analysis. Show more Show less

Delhi , India Designation: Partner Position: Data Science Instructor Mentor (Part-Time) Job Type: Consultant Benefits: Revenue distribution or a fixed hourly rate, with potential for performance-based bonuses tied to training outcomes. Reports to: Founder/CEO Job Overview The Data Science Mentor will provide strategic training and mentorship to Eduroids' students on a part-time basis, focusing on equipping them with industry-relevant data science skills. This role involves delivering interactive sessions, developing comprehensive course materials, and offering personalised guidance to prepare students for real-world challenges in data science. Key Responsibilities Training Delivery: Conduct weekend sessions focusing on core data science concepts, tools, and techniques, including machine learning, data modelling, and statistical analysis. Curriculum Development: Develop and regularly update course content to reflect the latest advancements in data science and align with industry requirements. Hands-On Learning: Lead participants through practical exercises, real-world projects, and case studies to build their expertise in data science workflows. Mentorship: Provide one-on-one guidance, address queries, and support students in mastering complex concepts and techniques. Industry Alignment: Ensure that training sessions are tailored to match industry trends and emphasize practical applications of data science methodologies. Assessment and Feedback: Evaluate student performance through assessments, offer constructive feedback, and recommend areas for growth and improvement. Knowledge Transfer: Share industry insights and examples to bridge the gap between academic learning and real-world applications. Key Measures Student Progress: Track and evaluate participant growth, ensuring they demonstrate competency in data science concepts and techniques. Industry Relevance: Maintain a curriculum that aligns with industry demands, emerging technologies, and data science best practices. Feedback Scores: Achieve high satisfaction and engagement ratings from participants for the quality of instruction and mentorship. Project Completion: Ensure students complete hands-on projects showcasing their ability to solve complex data problems. Qualifications Education: Bachelor’s or Master’s degree in Data Science, Machine Learning, Statistics, Computer Science, or a related field. Experience: Minimum of 15 years of professional experience in Data Science or related fields. Hands-on experience with Fortune 500 companies is preferred. Proven expertise in machine learning, data modelling, and statistical analysis. Technical Skills: Proficiency in Python , R , and SQL. Experience with machine learning frameworks such as TensorFlow , PyTorch , or Scikit-learn . Advanced knowledge of data visualization platforms like Tableau , Power BI , or Matplotlib/Seaborn . Familiarity with cloud platforms (AWS, Azure, Google Cloud) and big data tools like Spark and Hadoop. Soft Skills: Excellent communication and teaching skills. Ability to simplify and explain complex concepts to learners of varying expertise. A passion for mentoring and helping students achieve their career goals. Personal Attributes Enthusiastic about empowering the next generation of data scientists. Resilient and adaptable, with a focus on continuous learning and improvement. Collaborative and supportive mentor who fosters a positive and inclusive learning environment. Benefits Competitive compensation based on hourly or project-based engagement. Flexible remote working opportunities. Opportunity to shape future data scientists and impact their career success. Collaborative and forward-thinking work culture.

Senior Data Scientist GEA is one of the largest suppliers for the food and beverage processing industry and a wide range of other process industries. Approximately 18,000 employees in more than 60 countries contribute significantly to GEA’s success – come and join them! We offer interesting and challenging tasks, a positive working environment in international teams and opportunities for personal development and growth in a global company. Why join GEA Job information Reference Number JR-0033454 Job function Engineering Position type Full time Site 6&6P, Bommasandra, Industrial Area, Hebbagodi, Hosur Road, Bengaluru- 560099 Karnataka highly skilled and experienced Design and Development Engineer with a minimum of 5 years of relevant expertise in the design and development of industrial processing equipment and solutions for the cakes, pies, cookies, biscuits, crackers, and snacks industry. Your responsibilities and tasks: We are seeking a highly skilled and motivated Data Scientist to join our dynamic team. The ideal candidate will have a strong foundation in data analysis, statistical methods, and machine learning techniques. They will be responsible for transforming data into actionable insights to drive decision-making processes and improve business performance. Responsibilities Analyze large datasets to identify trends, patterns, and insights. Develop and implement machine learning models and algorithms. Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions. Present findings and recommendations to stakeholders through reports and visualizations. Ensure data integrity and accuracy by performing regular data validation and cleansing. Stay updated with the latest industry trends and advancements in data science and machine learning. Your profile and qualifications: Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, or related field. >5 years proven experience as a Data Scientist or in a similar role. Strong proficiency in programming languages such as Python, SQL. Experience with data visualization tools like Tableau, Power BI, or Matplotlib. Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Excellent problem-solving skills and attention to detail. Strong communication skills and ability to convey complex information to non-technical stakeholders. Experience with big data technologies such as Hadoop, Spark, or cloud platform.

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: 28th May 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

Job Purpose As a key member of the DTS team, you will primarily collaborate closely with a leading global hedge fund on data engagements. Partner with data strategy and sourcing team on data requirements to design data pipelines and delivery structures. Essential Skills Desired Skills and Experience 3-5 years of Python experience, including advanced concepts like async and OOP. Proficiency in data manipulation and dashboard creation using NumPy, Matplotlib, and Streamlit/Panel. Experience with SQL (PostgreSQL) and NoSQL (MongoDB) databases; familiarity with Pinecone is a plus. Knowledge of ETL pipelines and tools like Snowflake, DBT, Azure Data Factory, Azure Functions, and Azure Blob Storage. Experience with financial and/or alternative data products. Familiarity with version control systems such as Git. Experience in PDF parsing and test cases using Python. Education: B.E./B.Tech in Computer Science or related field Key Responsibilities Partner with data team to cater to development and automation needs of internal and external stakeholders Generate dashboards using python Fixing existing process deployed on Azure so basic experience or ready to learn things on the go Collaborate with core engineering team to create central capabilities to process, manage, monitor, and distribute datasets at scale Apply robust data quality rules to systemically qualify data deliveries and guarantee the integrity of datasets Engage with technical and non-technical clients as SME on data asset offerings Key Metrics Python (async and OOP), SQL (PostgreSQL, MongoDB), Streamlit/Panel. Data Engineering and pipelines, Azure Behavioral Competencies Good communication (verbal and written) Experience in managing client stakeholders Show more Show less

Overview Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor’s “Best Places to Work” Seeking an astute individual that has a strong technical foundation with the additional ability to be hands-on with the broader engineering team as part of the development/deployment cycle, and deep knowledge of industry best practices, Data Science and Machine Learning experience with the ability to implement them working with both the platform, and the product teams. Scope Our machine learning platform ingests data in real time, processes information from millions of retail items to serve deep learning models and produces billions of predictions on a daily basis. Blue Yonder Data Science and Machine Learning team works closely with sales, product and engineering teams to design and implement the next generation of retail solutions. Data Science team members are tasked with turning both small, sparse and massive data into actionable insights with measurable improvements to the customer bottom line. Our Current Technical Environment Software: Python 3.* Frameworks/Others: TensorFlow, PyTorch, BigQuery/Snowflake, Apache Beam, Kubeflow, Apache Flink/Dataflow, Kubernetes, Kafka, Pub/Sub, TFX, Apache Spark, and Flask. Application Architecture: Scalable, Resilient, Reactive, event driven, secure multi-tenant Microservices architecture. Cloud: Azure What We Are Looking For Bachelor’s Degree in Computer Science or related fields; graduate degree preferred. Solid understanding of data science and deep learning foundations. Proficient in Python programming with a solid understanding of data structures. Experience working with most of the following frameworks and libraries: Pandas, NumPy, Keras, TensorFlow, Jupyter, Matplotlib etc. Expertise in any database query language, SQL preferred. Familiarity with Big Data tech such as Snowflake , Apache Beam/Spark/Flink, and Databricks. etc. Solid experience with any of the major cloud platforms, preferably Azure and/or GCP (Google Cloud Platform). Reasonable knowledge of modern software development tools, and respective best practices, such as Git, Jenkins, Docker, Jira, etc. Familiarity with deep learning, NLP, reinforcement learning, combinatorial optimization etc. Provable experience guiding junior data scientists in official or unofficial setting. Desired knowledge of Kafka, Redis, Cassandra, etc. What You Will Do As a Senior Data Scientist, you serve as a specialist in the team that supports the team with following responsibilities. Independently, or alongside junior scientists, implement machine learning models by Procuring data from platform, client, and public data sources. Implementing data enrichment and cleansing routines Implementing features, preparing modelling data sets, feature selection, etc. Evaluating candidate models, selecting, and reporting on test performance of final one Ensuring proper runtime deployment of models, and Implementing runtime monitoring of model inputs and performance in order to ensure continued model stability. Work with product, sales and engineering teams helping shape up the final solution. Use data to understand patterns, come up with and test hypothesis; iterate. Help prepare sales materials, estimate hardware requirements, etc. Attend client meetings, online and onsite, to discuss new and current functionality Our Values If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. Show more Show less

Job Summary: We are looking for a skilled and innovative Machine Learning Engineer to develop, implement, and optimize intelligent systems that leverage data to drive business decisions and enhance product functionality. The ideal candidate will have strong programming skills, a solid understanding of machine learning algorithms, and experience in deploying models into production environments. Key Responsibilities: Design and develop scalable ML models and algorithms to solve real-world problems Analyze large and complex datasets to extract actionable insights Train, test, and validate models to ensure performance and accuracy Work closely with data engineers, product teams, and stakeholders to integrate ML models into applications Research and stay updated on state-of-the-art techniques in machine learning and AI Optimize models for speed, scalability, and interpretability Document processes, experiments, and results clearly Deploy models into production using MLOps tools and practices Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related field Strong proficiency in Python and ML libraries like scikit-learn, TensorFlow, PyTorch, Keras Solid understanding of statistical modeling, classification, regression, clustering, and deep learning Experience with data handling tools (e.g., Pandas , NumPy ) and data visualization (e.g., Matplotlib , Seaborn ) Proficiency with SQL and working knowledge of big data technologies (e.g., Spark, Hadoop) Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tools (e.g., MLflow, SageMaker) Preferred Qualifications: Experience with NLP, computer vision, or recommendation systems Knowledge of Docker, Kubernetes, and CI/CD for model deployment Published research or contributions to open-source ML projects Exposure to agile environments and collaborative workflows Show more Show less

Company Description CloudMoyo is an award-winning and data-driven engineering firm with deep expertise in analytics, application development, digital strategies and generative AI solutions. Our goal is to envision and develop solutions that reinvigorate businesses and build their best futures by propelling digital transformation with resilience. We work alongside various partners, like Microsoft and Icertis, to bring forward robust, inventive, and scalable solutions tailored to your business needs. Our expertise is founded on the efforts of our talented employees, as well as our FIRST with FORTE values we champion. FORTE means Fairness, Openness, Respect, Teamwork, and Execution. Our values here lead to open and honest conversations that allow for greater collaboration, leading to best-in-class execution that delights our customers. In 2025, we introduced FIRST with FORTE, with the goal to be a Fearless, Innovative, and Resilient organization with Substantial impacts while being a Trustworthy partner. We pride ourselves on being one of Seattle’s Best Places to Work for the past 6 years, earning the #1 rank in both 2021 and 2024! In 2021, we earned the Icertis Partner of the Year Award – FORTE Values, and in 2024 earned the Icertis Highest Delivery NPS Award. Interested in joining our team? Keep reading! Life at CloudMoyo Here at CloudMoyo, we are driven by our values of FORTE, which stands for Fairness, Openness, Respect, Teamwork, and Execution. We strongly believe that our expertise is founded on the efforts of our employees, who reflect our FORTE values in their work. In 2025, we introduced FIRST with FORTE. This addition to our values aligns with our goal to be a Fearless, Innovative, and Resilient organization with Substantial impacts while being a Trustworthy partner. It’s an extension of FORTE that focuses on our values as a larger organization, built on great employees. Our workplace culture is driven by unshakable commitment to building a world-class workplace for all employees, one characterized by meaningful interactions, flat hierarchy, challenging assignments, opportunities to grow with the best in the field, and exciting rewards and benefits. If you’re a talented, hard-working, and fun-loving person looking to grow, then CloudMoyo may be a great fit for your next professional adventure. Curious about what it’s like working at CloudMoyo? Hear from CloudMoyo employees on Glassdoor: check out the reviews. Working during COVID-19 We Responded To The Covid-19 And Its Impact On Our Lives And Businesses Alike, With a “4 Rings Of Responsibility” Approach. CloudMoyo Employees Worked 100% Remotely During Covid-19. However, We Have Now Adopted a Hybrid Work Environment Post-Covid. Our Four Rings Of Responsibility Include Take Care of Self Take Care of Family Take Care of Community Take Care of Business The Covid-19 pandemic also changed the way we view health and wellness, and from our Four Rings of Responsibility came our WellNest initiative. WellNest emphasizes employees to #TakeCareofSelf, ensuring wellbeing at a physical, emotional, and psychological level. WellNest provides avenues to indulge, collaborate as teams, and help those around you maintain their wellbeing, whether that’s pursuing a new hobby, attending a solo experience, or exploring the world with your family. Job Description We are looking for a candidate with 5+ years in Machine learning & good exposure to python/R/cognitive services that will help us to find insights from big data and build Machine learning algorithms for our machine learning systems. Your primary focus will be in applying data mining techniques, doing statistical analysis, and writing python/R codes for developing Machine learning algorithms. Responsibilities Requirement gathering, solutioning & client interaction Translate requirement into AI/ML solution Leading & mentoring a team of Data Scientists Data mining over varied data sources Identify key evaluation metrics Processing, cleansing, verifying integrity of data used for analysis Writing Python/R codes to use state of the art techniques for building and optimizing classifiers using machine learning techniques Ad-hoc analysis and results presentation in cleaner manner Qualifications Experience with common data science libraries such as Numpy, Pandas etc. Experience in Text data used NLP is mandatory. Experience scripting and programming skills with Python/R/Cognitive services. Frameworks: Keras, Scikit-learn, Tensorflow, Pandas, Numpy, MatplotLib, Seaborn (these are mandatory) Knowledge of MLOPs and deployment pipelines products like AWS sagemaker, Azure ML. Understanding of Machine learning techniques and algorithms and Natural Language Processing techniques Knowledge of data wrangling skills using SQL or NOSQL queries Understanding of large language models (LLM’s) & prompt engineering that cater to multiple tasks such a text generation, Q&A, summarization, translation etc. Experience with big data, data visualization libraries will be appreciated. Should have experience on at least 5 ML algorithms Experience on tuning ML models for accuracy & F1 score Certifications in advance analytics skills is good to have Good communication and inter-personal skills with a bachelor/masters degree in computer science. Must have actual project/product development experience using the above listed skills Additional Information Why Join Us? Opportunity to lead and shape the growth of a critical business practice. Collaborative and supportive work environment focused on innovation and excellence. Competitive compensation package with performance-based incentives. Comprehensive benefits, and professional development opportunities. If you are a motivated sales leader passionate about delivering top-notch staffing solutions, we invite you to join our team and make a lasting impact! Show more Show less

TCS is hiring Data Analyst/Data Engineer Location: Bangalore, Chennai, Pune, Gurgaon Years of Experience: 6 to 8yrs Notice Period: 0-30days Responsibilities Experience in design and implementation of production code Experience with distributed computational frameworks (Impala, Hive, Scala, Spark, Hadoop) Expertise using Python or SAS Expertise using SQL Experience building unit-tests and integration tests Experience cleaning and transforming datasets Experience using APIs Experience building data quality reports Experience developing visual analytics (matplotlib, MicroStrategy, Tableau, etc.) Experience with GitLab or other version control systems Experience delivering software to tight deadlines Experience working in an agile environment Kindly share your updated resumes with proper years of experience as above mentioned. Thanks & Regards Shilpa Silonee Show more Show less

Job Title: Data Scientist Intern Job ID: 0479 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: pandas,python,numpy,data visualization,r,machine learning,data analysis,tensorflow,data preprocessing,exploratory data analysis,sql,pytorch,scikit-learn,data science,scipy,data collection Show more Show less

: As a Banking Data Analyst, you will play a critical role in our clients' data-driven decision-making processes. You will work closely with marketing teams, product managers, and other stakeholders to understand their data needs and provide relevant analyses. Your expertise in SQL, marketing analytics, and banking domain knowledge will be essential to your success. Responsibilities : - Perform in-depth data analysis using SQL to extract and analyze banking data. - Develop and maintain reports and dashboards to track key performance indicators (KPIs). - Identify trends and patterns in banking data to provide actionable insights. - Analyze marketing campaign performance and provide recommendations for optimization. - Segment customer data to identify target audiences for marketing initiatives. - Develop and implement customer lifetime value (CLTV) models. -

Job Summary: We are seeking a highly skilled Python Developer with expertise in Machine Learning and Data Analytics to join our team. The ideal candidate should have 5-6 years of experience in developing end-to-end ML-driven applications and handling data-driven projects independently. You will be responsible for designing, developing, and deploying Python-based applications that leverage data analytics, statistical modeling, and machine learning techniques. Key Responsibilities: Design, develop, and deploy Python applications for data analytics and machine learning. Work independently on machine learning model development, evaluation, and optimization. Develop ETL pipelines and process large-scale datasets for analysis. Implement scalable and efficient algorithms for predictive analytics and automation. Optimize code for performance, scalability, and maintainability. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Integrate APIs and third-party tools to enhance functionality. Document processes, code, and best practices for maintainability. Required Skills & Qualifications: 5-6 years of professional experience in Python application development. Strong expertise in Machine Learning, Data Analytics, and AI frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Proficiency in Python libraries such as Pandas, NumPy, SciPy, and Matplotlib. Experience with SQL and NoSQL databases (PostgreSQL, MongoDB, etc.). Hands-on experience with big data technologies (Apache Spark, Delta Lake, Hadoop, etc.). Strong experience in developing APIs and microservices using FastAPI, Flask, or Django. Good understanding of data structures, algorithms, and software development best practices. Strong problem-solving and debugging skills. Ability to work independently and handle multiple projects simultaneously. Good to have - Working knowledge of cloud platforms (Azure/AWS/GCP) for deploying ML models and data applications. Send your resume to hr@epsumlabs.com Show more Show less

Must have knowledge in Azure Datalake, Azure function, Azure Databricks, Azure data factory, PostgreSQL Working knowledge in Azure devops, Git flow would be an added advantage. (OR) SET 2 Must have working knowledge in AWS Kinesis, AWS EMR, AWS Glue, AWS RDS, AWS Athena, AWS RedShift. Should have demonstrable knowledge and expertise in working with timeseries data. Working knowledge in delivering data engineering / data science projects in Industry 4.0 is an added advantage. Should have knowledge on Palantir. Strong problem-solving skills with an emphasis on sustainable and reusable development. Experience using statistical computer languages to manipulate data and draw insights from large data sets Python/PySpark, Pandas, Numpy seaborn / matplotlib, Knowledge in Streamlit.io is a plus Familiarity with Scala, GoLang, Java would be added advantage. Experience with big data toolsHadoop, Spark, Kafka, etc. Experience with relational databases such as Microsoft SQL Server, MySQL, PostGreSQL, Oracle and NoSQL databases such as Hadoop, Cassandra, Mongo dB Experience with data pipeline and workflow management toolsAzkaban, Luigi, Airflow, etc Experience building and optimizing big data data pipelines, architectures and data sets. Strong analytic skills related to working with unstructured datasets. Primary Skills Provide innovative solutions to the data engineering problems that are faced in the project and solve them with technically superior code & skills. Where possible, should document the process of choosing technology or usage of integration patterns and help in creating a knowledge management artefact that can be used for other similar areas. Create & apply best practices in delivering the project with clean code. Should work innovatively and have a sense of proactiveness in fulfilling the project needs. Additional Information: Reporting to Director- Intelligent Insights and Data Strategy Travel Must be willing to be deployed at client locations anywhere in the world for long and short term as well as should be flexible to travel on shorter duration within India and abroad

Share this job Mission Statement This role is responsible for leveraging data to drive business insights and decisions across various domains. As a Data Scientist, you will analyze large datasets to extract actionable insights, build predictive models, and support data-driven decision-making processes. You will work closely with cross-functional teams including engineering, product manage-ment, and business stakeholders to understand their data needs and deliver solutions that drive business value. You must possess strong analytical and problem-solving skills, and be proficient in working both independently and in teams. Your Responsibilities Analysing large datasets to identify trends, patterns, and insights that can inform business decisions Building and validating predictive models using statistical and machine learning techniques Creating clear and compelling visualizations to communicate findings to stakeholders Working closely with engineering, product management, and business teams to understand their data needs and deliver actionable insights Ensuring data quality and integrity by implementing best practices in data collection, processing, and storage Developing and maintaining dashboards and reports to track key metrics and performance indicators Staying up-to-date with the latest industry trends and technologies to continuously improve data science practices and methodologies Living Hitachi Energy’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business. Your Background Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field 10+ years of experience in data science or a related field Relevant certifications in data science or machine learning will be an added advantage Proficiency in programming languages such as Python or R Experience with data analysis and visualization tools such as SQL, Tableau, or Power BI Strong analytical and problem-solving skills, with the ability to interpret complex data and provide actionable insights Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present findings to stakeholders Ability to manage multiple projects simultaneously and deliver results within deadlines Experience with machine learning frameworks such as TensorFlow, Keras, or Scikit-learn Familiarity with big data technologies such as Hadoop, Spark, or AWS Proficiency in data manipulation libraries such as Pandas and NumPy Experience with data visualization libraries such as Matplotlib, Seaborn, or Plotly Knowledge of natural language processing (NLP) libraries such as NLTK or SpaCy Understanding of deep learning frameworks such as PyTorch or MXNet Experience with cloud platforms such as AWS, Google Cloud, or Azure Knowledge of version control systems such as Git Familiarity with containerization technologies such as Docker and Kubernetes Strong attention to detail and organizational skills Ability to articulate and present ideas to senior management Problem-solving mindset with the ability to work independently and as part of a team Eagerness to learn and enhance knowledge unassisted Strong networking skills and global orientation Ability to coach and mentor team members Effective collaboration with internal and external stakeholders Adaptability to manage and lead transformational projects Proficiency in both spoken & written English language is required Apply now Location Bengaluru, Karnataka, India Job type Full time Experience Experienced Job function Engineering & Science Contract Regular Publication date 2025-05-26 Reference number R0069604 Show more Show less

Python Software Development Sr.specialist Job Description In these roles, you will be responsible for: Design, implement, and test generative AI models using python and various frameworks such as Pandas, TensorFlow, PyTorch, and OpenAI. Research and explore new techniques and applications of generative AI, such as text, image, audio, and video synthesis, style transfer, data augmentation, and anomaly detection. Collaborate with other developers, researchers, and stakeholders to deliver high-quality and innovative solutions. Document and communicate the results and challenges of generative AI projects. Required Skills for this role include: Technical skills 5 to 7 years’ Experience in developing Python frameworks such DL, ML, Flask At least 2 years of experience in developing generative AI models using python and relevant frameworks. Strong knowledge of machine learning, deep learning, and generative AI concepts and algorithms. Proficient in python and common libraries such as numpy, pandas, matplotlib, and scikit-learn. Familiar with version control, testing, debugging, and deployment tools. Excellent communication and problem-solving skills. Curious and eager to learn new technologies and domains. Desired Skills: Knowledge of Django, Web API Proficient exposure on MVC. Preferences: Graduate degree in Computer Science with 4 years of Python based development. Gen AI Framework Professional Certification Show more Show less

Job Requirements Work with a team to develop advanced analytic techniques to interrogate, visualize, interpret, and contextualize data and develop novel solutions to healthcare specific problems Implement a variety of analytics from data processing & QA to exploratory analytics and complex predictive models Understand client / product needs and translate them into tactical initiatives with defined goals and timelines Implement models using high level software packages (SKlearn, TensorFlow, PySpark, Databricks) Collaborate on software projects, providing analytical guidance and contributing to codebase Devises modeling and measuring techniques, and utilizes mathematics, statistical methods, engineering methods, operational mathematics techniques (linear programming, game theory, probability theory, symbolic language, etc.) and other principles and laws of scientific and economic disciplines to investigate complex issues, identify, and solve problems, and aid better decision making Plans, designs, coordinates and controls the progress of project work to meet client objectives; prepares and presents reports to clients Solves highly specialized technical objectives or problems without a pre-defined approach where the use of creative, imaginative solutions is required Synthesize raw data into digestible and actionable information. Identify specific research areas that merit investigation, develop new hypotheses and approaches for studies and evaluate the feasibility of such endeavors. Initiate, formulate, plan, execute and controls studies, which are designed for the purpose of identifying, analyzing, and reporting on healthcare related issues. Advise management on the selection of an appropriate study design, analysis, and in interpretation of study results. Work Experience BS/ MS in mathematics, physics, statistics, engineering, or similar discipline. Ph.D. preferred. Minimum of 5 years analytics/ Datascience experience Solid experience writing SQL queries Strong programming abilities Python (pandas, sklearn, numpy/ scipy, pyspark) Knowledge of statistical methods- regression, ANOVA, EDA, PCA, etc. Basic visualization skills- matplotlib/seaborn/plotly/etc. PowerBI experience highly preferred. Experience manipulating data sets through commercial and open source software (e.g. Redshift, Snowflake, Spark, Python, R, Databricks) Working knowledge of medical claims data (ICD-10 codes, HCPCS, CPT, etc.) Experience utilizing a range of analytics involving standard data in the Pharmaceutical Industry e.g. claims data from Symphony, IQVIA, Truven, Allscripts, etc. Must be comfortable conversing with the end-users Excellent analytical, verbal and communication skills Ability to thrive in a fast-paced, innovative environment Advanced Excel skills including (v-look-up, pivot tables, charts, graphing , and macros) Excellent documentation skills Excellent planning, organizational, and time management skills Ability to lead meetings and give presentation. Show more Show less