1515 Matplotlib Jobs - Page 17

About Us Fireblaze AI School is a part of Fireblaze Technologies which was started in April 2018 with a Vision to Up-Skill and Train in emerging technologies. Mission Statement “To Provide Measurable & Transformational Value To Learners Career” Vision Statement ““To Be The Most Successful & Respected Job-Oriented Training Provider Globally.” We Focus widely on creating a huge digital impact. Hence Our Strong Presence over Digital Platforms are a must have thing for use. Below Are the links to all the social media channels. Website - http://fireblazeaischool.in LinkedIN - https://www.linkedin.com/company/fireblazeaischool/ Youtube - https://www.youtube.com/c/FireblazeAISchool Facebook - https://www.facebook.com/fireblazeaischool/ Instagram - https://www.instagram.com/fireblazeaischool/ Twitter - https://twitter.com/FireblazeAi Google Nagpur - https://g.page/fireblazeaischoolnagpur?share Google Pune - https://g.page/fireblazeaischoolpune?share Spotify Podcast - https://open.spotify.com/show/0VXm4ikfRG29UcwlMnaDNJ Job Description Deliver engaging classroom and/or online training sessions on topics including: Python for Data Science Data Analytics using Excel and SQL Statistics and Probability Machine Learning and Deep Learning Data Visualization using Power BI / Tableau Create and update course materials, projects, assignments, and quizzes. Provide hands-on training and real-world project guidance. Evaluate student performance, provide constructive feedback, and track progress. Stay updated with the latest trends, tools, and technologies in Data Science. Mentor students during capstone projects and industry case studies. Coordinate with the academic and operations team for batch planning and feedback. Assist with the development of new courses and curriculum as needed. Requirements Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. Proficiency in Python, SQL, and data handling libraries (Pandas, NumPy, etc.). Hands-on knowledge of machine learning algorithms and frameworks like Scikit-learn, TensorFlow, or Keras. Experience with visualization tools like Power BI, Tableau, or Matplotlib/Seaborn. Strong communication, presentation, and mentoring skills. Prior teaching/training experience is a strong advantage. Certification in Data Science or Machine Learning (preferred but not mandatory). 'Interested students can reach out at vkmanthena.fireblaze@gmail.com' check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#FF6A0E;border-color:#FF6A0E;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

3+ years of experience in a data analyst, business intelligence, or analytics engineering role. Expert-level proficiency in SQL is absolutely essential. You should be comfortable with complex joins, window functions, and query optimization. Proven experience with a modern BI platform like Power BI, Tableau, Looker, or Metabase, from data source connection to final dashboard design. Hands-on experience with dbt for data modeling and transformation. You should understand dbt's core concepts and workflows. Proficiency in Python for data analysis and automation, specifically with libraries like Pandas, NumPy, and Matplotlib. Strong analytical and problem-solving skills, with a demonstrated ability to translate business questions into analytical work and analytical work into business insights. Excellent communication skills, with the ability to present complex data stories to a non-technical audience. Preferred Skills & Experience (Nice-to-Haves) Experience querying data in a cloud data warehouse or serverless query engine (e.g., AWS Athena, Google BigQuery, Azure Synapse, Snowflake). Familiarity with version control using Git. Experience working directly with data from NoSQL databases like MongoDB. A solid understanding of data engineering concepts (e.g., data lakes, ETL vs. ELT, data ingestion). Experience conducting statistical analysis (e.g., A/B testing, regression analysis). Skills: mongodb,looker,snowflake,tableau,a/b testing,data analyst,bi dev,analytics,matplotlib,git,azure synapse,athena,aws athena,aws,python,power bi,azure,data,pandas,sql,concepts,google bigquery,numpy,automation,skills,dbt,metabase

3+ years of experience in a data analyst, business intelligence, or analytics engineering role. Expert-level proficiency in SQL is absolutely essential. You should be comfortable with complex joins, window functions, and query optimization. Proven experience with a modern BI platform like Power BI, Tableau, Looker, or Metabase, from data source connection to final dashboard design. Hands-on experience with dbt for data modeling and transformation. You should understand dbt's core concepts and workflows. Proficiency in Python for data analysis and automation, specifically with libraries like Pandas, NumPy, and Matplotlib. Strong analytical and problem-solving skills, with a demonstrated ability to translate business questions into analytical work and analytical work into business insights. Excellent communication skills, with the ability to present complex data stories to a non-technical audience. Preferred Skills & Experience (Nice-to-Haves) Experience querying data in a cloud data warehouse or serverless query engine (e.g., AWS Athena, Google BigQuery, Azure Synapse, Snowflake). Familiarity with version control using Git. Experience working directly with data from NoSQL databases like MongoDB. A solid understanding of data engineering concepts (e.g., data lakes, ETL vs. ELT, data ingestion). Experience conducting statistical analysis (e.g., A/B testing, regression analysis). Skills: mongodb,looker,snowflake,tableau,a/b testing,data analyst,bi dev,analytics,matplotlib,git,azure synapse,athena,aws athena,aws,python,power bi,azure,data,pandas,sql,concepts,google bigquery,numpy,automation,skills,dbt,metabase

Who You'll Work With Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else. When you join us, you will have: Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family. Your Impact You will be responsible for developing deep Retail domain understanding in at least one of the following areas –Customer Analytics, Pricing Optimization, Inventory Management, E-commerce, or Digital Transformation. Collaboration with business stakeholders, engineers and internal teams to build and implement extraordinary retail focused data products (reusable asset) and solutions and delivering them right to the client will be of utmost importance. You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact and guide global companies through data science solutions to transform their businesses and enhance performance across industries including E-commerce, Grocery, F&B and CPG. Your Qualifications and Skills Masters's or PhD degree in computer science, engineering or mathematics, or equivalent experience 6+ years of relevant experience with strong foundations of statistics and machine learning techniques Proven experience applying machine learning techniques to solve business problems Proven experience in translating technical methods to non-technical stakeholder Proven experience writing production-grade code (Python / Pyspark) for machine learning in a professional setting Strong understanding of analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, kedro, mlflow) Experience in any cloud platforms (AWS, Azure, or GCP) Familiarity with containerization technologies (Docker, Docker-compose) Experience with Git-based workflows and automation frameworks, specifically GitHub Actions and GitLab CI/CD Familiarity or hands-on experience with data visualization tools (PowerBI, Tableau, etc.)

About AstraZeneca AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialization of prescription medicines for some of the world’s most serious diseases. But we’re more than one of the world’s leading pharmaceutical companies. Position Title: Insights Manager This position is responsible for using customer-level data, sales data, profiling data, and other information to perform analysis which helps the business in designing an effective customer engagement plan. Spearhead the segmentation and targeting process, driven by strategy definition for the Business. Leverage the analysis to generate insights and recommendations for optimizing sales efforts and effectively communicating those recommendations to key business stakeholders such as the marketing teams and sales leaders. This role will drive the SFE KPI and Business Performance Dashboard and support monthly Business Unit Performance Review Procedures and Quarterly RBM review Processes. This role would also require one to lead and analyse market trends, changes in market dynamics, coordinate analysis reports and proactively identify business opportunities for current and future therapy areas, Build and drive reporting analysis including reports on the market, therapy areas, and brands performance, leveraging on IQVIA, industry reports & in-market sales reports, Act as the subject matter expert to improve the quality, reliability, and availability of the data, provide insightful and actionable analytics. Valued Partner for business Collaborate and support in crafting Pre & Post strategy with Business Unit Identify SFE priorities by BU in consultation with the BU Head, Marketing manager and Sales Managers Highly Collaborative in nature with high interpersonal skill set for the best kind of stakeholder management Clarify and drive strategy execution to RBMs, ABMs and TBMs Demonstrate improvements through analytical insights and intervention in the planning/execution processes Develop/refine the analytics roadmap to address performance and insights needs and meet business priorities Drive data management and data processing of customer profiling and targeting, and field force calls and promotional activities Deep dive analysis of reasons of performing and non-performing territories Customer engagement journey tracking Insight generation, Profiling, Segmentation and Targeting Conceptualize profiling approach to identify key target segments for pre- and Post Launch Strategy Analyse opportunities@ HCP/Territories through profiling and insights Define sharp S&T based on outcome and insights of profiling for Sales force Develop a robust tracking mechanism Provide insights into call planning and messaging to doctors Monitor execution excellence and provide periodic feedback to cross function team with analytics and insights Engage with teams to close gaps in sales execution process Detailed understanding of doctors and alignment with the strategy Clear understanding of Segmentation & targeting and models Participation and understanding of sales force understanding Insight driven Business sales planning and review procedures Participate as a key contributor in the annual commercial planning process, specifically to leverage insights to optimize promotion Set KPI & drive Field force to comply with the KPIs Participate as a key contributor in the annual commercial planning process, specifically to leverage insights to optimize promotion Set KPI & drive Field force to comply with the KPIs Ensure availability of meaningful and accurate field force metrics (e.g. SFE “dashboards”) for management information Design Review templates, ensure timely completion of the templates and actively participate in Review meeting at RBM & ABM level Coordinate with the sales team & MIS/Database team so as to maintain data updating and reports submission from field force Define the Key timelines for activities such as profiling, dashboard publication and other key analyses Adhere to the timelines and highlight key challenges Develop mechanism of availability of Customer/Account sales & Non sales on periodical manner Existence of plans of each TBM Filled review template Essential Education, Qualifications, Skills and Experience MBA from a reputed institute (<30 Years of Age) Expert in Advanced Excel -Proficiency in using complex formulas (e.g., VLOOKUP, HLOOKUP, INDEX-MATCH, SUMIFS, COUNTIFS, etc.), Ability to create and understand nested formulas, Expertise in data cleaning, transformation, and manipulation, Ability to sort, filter, and extract relevant information from large datasets, Pivot Tables and Pivot Reporting, Proficient in creating various types of charts and graphs for data visualization, Ability to approach complex data-related problems with a logical and analytical mindset, keen eye for detail, especially when working with large datasets. Data Visualization Tools: Proficiency in Power BI tool for creating meaningful visualizations to communicate insights effectively. Additional knowledge of tools like Tableau, Matplotlib, Seaborn, or ggplot would be useful. Data Storytelling: The ability to communicate findings effectively through PowerPoint or other Visualization tools like Power BI Market Research Experience: Prior experience in market research or related roles is crucial. This may include positions such as Market Research Analyst, Data Analyst, or similar roles. Experience in pharma or consultancy such as IQVIA would be highly valued. Analytical Skills: The ability to analyze data and draw meaningful insights is fundamental. This includes proficiency in statistical analysis and data interpretation. Strategic Thinking: Able to think strategically and provide actionable recommendations based on data and market trends. Communication Skills: Strong written and verbal communication skills for presenting findings, creating reports, and interacting with cross-functional teams. Desirable Young and result-oriented individual, having a portfolio of personal or professional data science projects. Familiarity with market research tools and software can be useful. This could include tools for survey creation, data analysis, and visualization. Certifications in market research or related areas. For example, certifications from organizations like the Market Research Society (MRS) Statistical Modeling: Understanding of statistical concepts and proficiency in using statistical models for analysis and inference. Hypothesis Testing: Knowledge of hypothesis testing, and experimental design is important for drawing meaningful conclusions from data. Continuous Improvement Culture: Understanding and implementing of Six Sigma principles Why AstraZeneca? At AstraZeneca we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth and development. We’re on an exciting journey to pioneer the future of healthcare. You can find alternative messaging to use in the ‘Global Talent Attraction Story messaging’ section of the Global Playbook on the Employer Brand Portal - try to use other examples in order to make it different for candidates! So, what’s next? Are you already imagining yourself joining our team? Good, because we can’t wait to hear from you. Are you ready to bring new ideas and fresh thinking to the table? Brilliant! We have one seat available and we hope it’s yours. If you’re curious to know more then please reach out to (contact person) We welcome with your application, no later than (Month) (XX) Where can I find out more? Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/ Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/ Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en If you have site, country or departmental social media then feel free to switch any of the above links. Date Posted 16-Jul-2025 Closing Date 15-Aug-2025 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Job Summary Synechron is seeking a detail-oriented Data Analyst to leverage advanced data analysis, visualization, and insights to support our business objectives. The ideal candidate will have a strong background in creating interactive dashboards, performing complex data manipulations using SQL and Python, and automating workflows to drive efficiency. Familiarity with cloud platforms such as AWS is a plus, enabling optimization of data storage and processing solutions. This role will enable data-driven decision-making across teams, contributing to strategic growth and operational excellence. Software Requirements Required: PowerBI (or equivalent visualization tools like Streamlit, Dash) SQL (for data extraction, manipulation, and querying) Python (for scripting, automation, and advanced analysis) Data management tools compatible with cloud platforms (e.g., AWS S3, Redshift, or similar) Preferred: Cloud platform familiarity, especially AWS services related to data storage and processing Knowledge of other visualization platforms (Tableau, Looker) Familiarity with source control systems (e.g., Git) Overall Responsibilities Develop, redesign, and maintain interactive dashboards and visualization tools to provide actionable insights. Perform complex data analysis, transformations, and validation using SQL and Python. Automate data workflows, reporting, and visualizations to streamline processes. Collaborate with business teams to understand data needs and translate them into effective visual and analytical solutions. Support data extraction, cleaning, and validation from various sources, ensuring data accuracy. Maintain and enhance understanding of cloud environments, especially AWS, to optimize data storage, processing pipelines, and scalability. Document technical procedures and contribute to best practices for data management and reporting. Performance Outcomes: Timely, accurate, and insightful dashboards and reports. Increased automation reducing manual effort. Clear communication of insights and data-driven recommendations to stakeholders. Technical Skills (By Category) Programming Languages: Essential: SQL, Python Preferred: R, additional scripting languages Databases/Data Management: Essential: Relational databases (SQL Server, MySQL, Oracle) Preferred: NoSQL databases like MongoDB, cloud data warehouses (AWS Redshift, Snowflake) Cloud Technologies: Essential: Basic understanding of AWS cloud services (S3, EC2, RDS) Preferred: Experience with cloud-native data solutions and deployment Frameworks and Libraries: Python: Pandas, NumPy, Matplotlib, Seaborn, Plotly, Streamlit, Dash Visualization: PowerBI, Tableau (preferred) Development Tools and Methodologies: Version control: Git Automation tools for workflows and reporting Familiarity with Agile methodologies Security Protocols: Awareness of data security best practices and compliance standards in cloud environments Experience Requirements 3-5 years of experience in data analysis, visualization, or related data roles. Proven ability to deliver insightful dashboards, reports, and analysis. Experience working across teams and communicating complex insights clearly. Knowledge of cloud environments like AWS or other cloud providers is desirable. Experience in a business environment, not necessarily as a full-time developer, but as an analytical influencer. Day-to-Day Activities Collaborate with stakeholders to gather requirements and define data visualization strategies. Design and maintain dashboards using PowerBI, Streamlit, Dash, or similar tools. Extract, transform, and analyze data using SQL and Python scripts. Automate recurring workflows and report generation to improve operational efficiencies. Troubleshoot data issues and derive insights to support decision-making. Monitor and optimize cloud data storage and processing pipelines. Present findings to business units, translating technical outputs into actionable recommendations. Qualifications Bachelors degree in Computer Science, Data Science, Statistics, or related field. Masters degree is a plus. Relevant certifications (e.g., PowerBI, AWS Data Analytics) are advantageous. Demonstrated experience with data visualization and scripting tools. Continuous learning mindset to stay updated on new data analysis trends and cloud innovations. Professional Competencies Strong analytical and problem-solving skills. Effective communication, with the ability to explain complex insights clearly. Collaborative team player with stakeholder management skills. Adaptability to rapidly changing data or project environments. Innovative mindset to suggest and implement data-driven solutions. Organized, self-motivated, and capable of managing multiple priorities efficiently. S YNECHRONS DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

Job Title: Senior Data Scientist Location: Kolkata/Bangalore (Remote/Hybrid options available) Company: Inxite-out Job Overview: We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team. This role will involve leading data science initiatives, developing advanced machine learning models, and providing actionable insights for business strategies. The ideal candidate will have a strong background in data science, statistical analysis, and business problem-solving, with a passion for delivering high-quality solutions. Key Responsibilities & Skills: Lead the development of advanced predictive and prescriptive models using machine learning, forecasting and other statistical methods Working knowledge of regression, classification, clustering, association algorithms and model optimization techniques Work closely with business stakeholders to understand requirements and translate them into data science solutions Design and implement end-to-end data science workflows, including data collection, preprocessing, feature engineering, model building, and evaluation Collaborate with cross-functional teams to deploy and integrate models into production environments Perform model validation, fine-tuning, and optimization to ensure accuracy and scalability Identify and investigate anomalies or unexpected behaviours in model outputs Build REST APIs using Fast/Flask, move models into production, ensure expected accuracies and throughput for the model Mentor and guide junior data scientists, providing technical expertise and leadership Qualifications: Bachelors or master’s in computer science, Statistics, Mathematics, Engineering, or a related field 4+ years of experience in data science or a similar analytical role, with a proven track record of delivering impactful projects Strong proficiency in python with experience in libraries like pandas, NumPy, Spacy, TensorFlow, Scikit-learn etc. Experience in working with cloud platforms (Azure), Databricks, PySpark Strong theoretical and practical knowledge of ML model development, hyper-parameter tuning, and production deployment Solid understanding of statistical analysis, data mining, feature engineering Strong problem-solving skills with the ability to think critically and adapt to complex business challenges Excellent communication skills with the ability to explain complex data-driven concepts to a non-technical audience Experience in leading and mentoring junior team members. Strong understanding of MLOps- lifecycle of a machine learning model Additional Skills (good to have): Knowledge of deep learning, CNN, MLP, OpenCV etc. Working knowledge of NLP/GenAI based solutions Experience working with SAP (S/4 HANA, BW) is a plus

Job Title - S&C Global Network - AI - Retail - AI/Gen AI Manager Management Level:07 - Manager Location:Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata Must have skills: Strong understanding of retail industry Excellent communication skills with the ability to translate complex technical concepts into actionable business insights. Experience managing cross-functional teams and delivering AI solutions in a fast-paced environment. Experience in handling large datasets from different sources (e.g., transactional data, customer data, social media data) and data preprocessing techniques. Expertise in supervised and unsupervised learning algorithms Proficiency in deep learning frameworks like TensorFlow or PyTorch Ability to implement NLP techniques for chatbots, recommendation systems, sentiment analysis, and personalized search. Good to have skills: Familiarity with SQL, NoSQL databases, and big data technologies like Spark for handling large-scale data. Familiarity with transformer-based models such as BERT, GPT, and T5 for understanding and generating human language. Experience with Generative Pre-trained Transformers (GPT) Experience with Data Visualization Tools Job Summary : We are seeking a dynamic and experienced AI / GenAI Retail Specialist (Manager level) to lead the development and implementation of artificial intelligence solutions across our retail operations. This role requires a strong blend of technical expertise, domain knowledge in the retail sector, and leadership capabilities to drive impactful AI and GenAI initiatives. Your expertise in AI will drive the development of cutting-edge solutions that enhance retail performance across various domains, including merchandising, pricing, customer engagement, and product assortment. Roles & Responsibilities: Leverage Retail Knowledge:Utilize your deep understanding of the retail industry (merchandising, customer behavior, product lifecycle) to design AI solutions that address critical retail business needs. Supervise teams in building, validating, and deploying ML/DL models using frameworks such as TensorFlow, PyTorch, and Hugging Face. Develop and oversee the implementation of GenAI-powered tools Design, develop, and implement AI algorithms (machine learning, deep learning, etc.) and generative models (e.g., GPT, GANs) tailored to the retail sector. Focus on the creation of AI models that can help in wide range of use cases across customer lifecycle, personalized customer experiences, optimize pricing, and product assortment. Translate data insights into actionable strategies for marketing, merchandising, and customer experience teams. For example, identifying cross-selling opportunities or optimizing product assortments. Work closely with cross-functional teams (e.g., product, marketing, business development) to understand the retail business challenges and translate them into AI-driven solutions. Communicate the potential of AI solutions to both technical and non-technical stakeholders, ensuring alignment between technical capabilities and business objectives. Professional & Technical Skills : Proven experience with supervised and unsupervised learning, deep learning, and generative AI models (e.g., LLMs, transformers). Expertise in machine learning, natural language processing (NLP), and generative AI models. Experience with platforms like TensorFlow, PyTorch, and OpenAI technologies. Knowledge of AI ethics and responsible AI practices. Hands-on experience with cloud platforms (AWS, GCP, Azure) and modern MLOps practices. Additional Information: About Our Company | AccentureQualification Experience: 610 years of relevant experience in data science, machine learning, or AI, with at least 2+ years in a leadership or managerial role. Educational Qualification: Msc. Statistics, B.Tech. / M.Tech Computer Science, Econometrics, Data Science Retail tech experience in e-commerce, fashion, grocery, or quick-commerce segments. Knowledge of ethical AI practices and responsible AI governance. Experience working with APIs of commercial LLMs (e.g., OpenAI, Cohere, Anthropic).

Job Title - S&C Global Network - AI - CMT AI ML Consultant Management Level:9- Consultant Location:Open Must-have skills: Gen AI ML Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU Accenture has committed to invest USD 3Billion into GenAI in the next 3 years. We will continually invest in your learning and growth. You'll work with Accentures highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests. Youll be part of a diverse, vibrant, global Accenture Data and AI community, continually pushing the boundaries of business capabilities. What you would do in this role ML Maturity Assessment: Conduct comprehensive assessments of the organization's ML maturity, identifying strengths, weaknesses, and areas for improvement. Provide strategic recommendations to enhance the overall ML capability and align it with business objectives. ML Ops Roadmap & Processes: Develop ML Ops roadmaps and establish robust processes for the end-to-end machine learning lifecycle, including data preparation, model training, deployment, and monitoring. Implement best practices in ML Ops to ensure efficiency, scalability, and reliability of ML systems. Implementation of Gen AI Solutions: Lead the design and implementation of state-of-the-art Generative AI solutions, leveraging deep learning frameworks such as TensorFlow and PyTorch. Drive innovation in Gen AI, staying abreast of the latest advancements and incorporating cutting-edge technologies into solutions. Incubating and Designing: Proactively identify opportunities for ML and / or Gen AI applications within the organization. Work closely with cross-functional teams to incubate and design bespoke ML solutions tailored to business requirements. Technical Leadership: Provide technical leadership and mentorship to data scientists, engineers, and other team members. Collaborate with stakeholders to ensure alignment between technical solutions and business objectives. Collaboration and Communication: Collaborate with business stakeholders to understand their needs and translate them into ML and Gen AI requirements. Effectively communicate complex technical concepts to non-technical audiences. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps. Hands-on experience in operationalizing the Machine learning system on a cloud and / or an On-Prem platform. Experience in implementing Generative AI solutions, including incubation, design, and deployment will be a big plus. Proficiency in deep learning frameworks such as TensorFlow and PyTorch. Good knowledge of ML Ops best practices and processes. Excellent problem-solving skills and ability to design scalable and reliable ML architectures. Strong leadership and communication skills, with a track record of leading successful ML initiatives. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools & Techniques TensorFlow, PyTorch, Scikit-learn, Keras NumPy, Pandas Matplotlib, Seaborn TensorFlow Serving, Docker and Kubernetes Good software engineering practices, including code modularization, documentation, and testing. Experience with open API , Integration architecture , microservices Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 4+ years Educational Qualification: Btech/ BE

Job Summary: We are seeking a skilled and passionate Python and Data Analyst Trainer to join our training team. The ideal candidate will have a strong background in Python programming and data analytics, with a desire to share their knowledge and mentor aspiring professionals. This role involves delivering high-quality training sessions, developing course materials, and providing hands-on guidance to learners from diverse backgrounds. Key Responsibilities: Design, develop, and deliver training sessions on Python programming , data analysis , data visualization , and related tools (e.g., Pandas, NumPy, Matplotlib, Seaborn, etc.). Teach learners how to work with data sets , perform data wrangling , and apply statistical techniques and machine learning fundamentals . Create engaging curriculum content, including lecture slides, coding exercises, quizzes, and real-world projects. Assess students’ progress through assignments, tests, and projects, and provide constructive feedback. Stay current with industry trends and incorporate new tools and techniques into the training content. Conduct one-on-one mentorship or doubt-clearing sessions, as needed. Collaborate with academic and support teams to improve training effectiveness and learner outcomes. Requirements: Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, or a related field. Proven experience in Python programming and data analytics (1+ years preferred). Prior teaching, training, or mentoring experience (online or in-person) is highly desirable. Strong knowledge of data analysis libraries (Pandas, NumPy), data visualization tools (Matplotlib, Seaborn, Plotly), and SQL. Familiarity with Jupyter Notebooks, Git, and cloud-based tools (e.g., Google Colab). Excellent communication, presentation, and interpersonal skills. Ability to simplify complex technical topics for diverse learners. Certification in Python/Data Science (optional but a plus). Preferred Qualifications: Experience with real-world data projects and data storytelling. Knowledge of BI tools like Tableau or Power BI. Exposure to machine learning libraries (Scikit-learn, TensorFlow, etc.) is an added advantage. Experience in creating e-learning content or hosting webinars. Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹35,000.00 per month Schedule: Day shift Language: English (Preferred) Work Location: In person

Job Description First Solar reserves the right to offer you a role most applicable to your experience and skillset. Basic Job Functions: This position manages organizational strategy and operations through design and statistical analysis of business initiatives and experiments. Works with business partners to understand what the business needs and issues are to address. Applies advanced knowledge of statistics and data mining (e.g., predictive modelling, simulation) or other mathematical techniques to recognize patterns and create insights from business data. Designs, develops, and evaluates statistical and predictive models that lead to business solutions. Serves as lead statistician for the unit, providing expertise, oversight, and guidance on statistical analysis efforts. Communicate findings and recommendations to management across different departments. Supports implementation efforts. Should lead and mentor the team working in the Data Competency Centre. Education/Experience: Bachelor’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 8-10 years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development Master’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 5+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development PhD degree in Data Science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 4+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development Working knowledge of budgets and financial statements Required Skills/Competencies: Demonstrated skill of managing teams; Ability to coach and mentor team members to drive results Demonstrated experience with programming languages and statistical software tools (Python, SAS, R, JMP or similar), relational databases (SQL server), data analysis and visualization software (preferably PowerBI, SAS). Demonstrated experience with standard data science and machine learning packages such as Numpy, Pandas, Matplotlib, seaborn, bokeh, plotly Demonstrated experience with the machine learning model stack (regression, classification, neural networks, time series) and packages (Scikit learn, Xgboost, Keras, Pytorch, Tensorflow, statsmodels) Demonstrated experience of the machine learning model tradeoffs such as hyper-parameter tuning, regularization, cross-validation, skewness in data, dimensionality reduction, and complexity vs interpretability. Demonstrated experience with utilizing advanced descriptive statistics and analysis techniques (such as forecasting, analysis of variance, t-tests, categorical data analysis, nonparametric data analysis, cluster analysis, factor analysis and multivariate statistical analysis) design business experiments and measure the impact of business actions. Demonstrated experience with computer vision models (e.g. image classification, object detection, and segmentation) Demonstrated experience working with various business partners to scope and design the statistical framework for business solutions and socialize and help integrate results. Strong communication skills to work with groups, and experience with communicating business implications of complex data relationships and results of statistical models to multiple business partners. Essential Responsibilities: Statistical Analysis & Model Development Works with business partners to identify and scope new opportunities for statistical analysis applications to evaluate business performance and to support business decisions. Works internally and with I/S and Enterprise Data Management to define, secure and prepare datasets for statistical modeling. Explores data using a variety of statistical (e.g., data mining, regression, cluster analysis) techniques to answer business questions or guide future model development. Build programs for running statistical tests on data and for understanding correlation of various attributes. Builds hypotheses, identifies research data attributes and determines the best approach to address business issues. Working with business partners leads development of experimental design for business initiatives. Applies advanced statistical techniques, including analysis of variance, t-tests, factor analysis, regression and multivariate analyses or simulation, to analyze the effects of business initiatives. Build predictive models (e.g. logistic regression, generalized linear models) as appropriate to support business partner objectives. Builds and deploys computer vision models (e.g., image classification, object detection, segmentation) to meet business needs. Prepares testing scenarios and tests model performance. Incorporates findings and provides insights as part of model development and enhancement. Provides guidance and direction related to statistical analysis to less experienced Data Science & Analytics staff as needed. Provides peer review related to analytics methods and results. Responsible for advanced analytics, including experimental design and analysis, for the most complex business experiments. Model Consultation, Implementation, & Communication Serves as statistical expert within the unit as well as in consultation to various areas of the business, to support design and analysis of business experiments. Leads analytics projects or components related to large, complex business initiatives. Prepare recommendations and findings for business partners. Works with research and analytics staff and other areas of the business on model application and implementation. Effectively communicates and delivers statistical and predictive model results to business partners, supporting socialization and adoption of analysis results into business activities and decisions. Assists with knowledge transfer and training to business areas regarding new analytics applications as part of implementation process. Works closely with business stakeholders to identify and answer critical questions. Assists in the development of standard analytical approaches and methodologies for the department. Provides knowledge transfer and training on new modeling and statistical analysis tools and methodologies to less experienced staff. Industry Research Research and maintain awareness of industry’s best practices and business strategies. Proactively brings in new and innovative ideas and approaches to develop business solutions. Research and leverage new statistical techniques and technologies to apply in their statistical research work. Reporting Relationships: Will report to Head- Automation Digital Transformation USA This role will have direct reports Travel: Physical Requirements: Will sit and stand for long periods of time during the day. Will walk, climb stairs and on equipment. May reach above shoulder heights and below the waist May lift up to 50 lbs. Required to use hands to finger, lift, handle, carry or feel objects. May stoop, kneel, bend, talk and hear. Specific vision abilities are required. All associates working on the production floor may be required to wear a respirator at any given time and thus, the ability to wear a respirator is a condition of employment and continued employment (require little or no facial hair). Office Physical Requirements: All positions in our office require interaction with people and technology while either standing or sitting. To best service our customers, internal and external, all associates must be able to communicate face-to-face and on the phone with or without reasonable accommodation. First Solar is committed to compliance with its obligations under all applicable state and federal laws prohibiting employment discrimination. In keeping with this commitment, it attempts to reasonably accommodate applicants and employees in accordance with the requirements of the disability discrimination laws. It also invites individuals with disabilities to participate in a good faith, interactive process to identify reasonable accommodations that can be made without imposing an undue hardship. Potential candidates will meet the education and experience requirements provided on the above job description and excel in completing the listed responsibilities for this role. All candidates receiving an offer of employment must successfully complete a background check and any other tests that may be required. Equal Opportunity Employer Statement: First Solar is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company. I have read and understand the above ‘Roles and Responsibilities’ for this position. I believe I meet the ‘Minimum Qualifications’ to perform the required ‘Essential Functions & Responsibilities’ to the best of my abilities.

Gurgaon, India We are seeking a technically driven Associate to join our India team in Gurgaon. This role provides an exceptional opportunity to build a career at the intersection of healthcare, technology, and business analytics. You’ll receive mentorship and hands-on experience to develop core consulting and technical skills, including data modeling, cloud-based development, forecasting, and executive-level communication. ROLES AND RESPONSIBILITIES Technical Responsibilities Assist in the development and maintenance of cloud-based forecasting tools and simulation platforms, leveraging modern tech stacks. Work with Python for data transformation, statistical modeling (e.g., ARIMA, exponential smoothing), and automation tasks. Write SQL queries to extract, transform, and load large datasets for analytics and forecasting workflows. Support the creations of interactive dashboards using tools such as Power BI, Tableau, or basic web frontend to visualize insights. Apply basic cloud services knowledge (e.g., AWS S3, Lambda, EC2) to support technical delivery of forecasting solutions. Business Responsibilities Conduct secondary research to understand therapeutic areas, disease states and pharmaceutical products as relevant to the project. Develop expertise in various time series forecasting methods and apply this knowledge towards building forecasting models across multiple therapeutic areas. Contribute proactively to business development and capability-building initiatives. Translate real-world pharmaceutical problems into structured analytical approaches and modeling strategies. QUALIFICATIONS Education & Experience B.Tech/B.E. from a premier engineering college. 0–2 years of technical/analytics experience is preferred, particularly with exposure to pharma analytics, forecasting, or cloud-based application development. SKILLS & TECHNICAL PROFICIENCIES Technical Skills Intermediate proficiency in Python, especially libraries like pandas, NumPy, matplotlib/seaborn, and introductory statsmodels. Working knowledge of SQL for data querying and transformation. Exposure to web development concepts, cloud tools (AWS preferred), and creating or maintaining simple data pipelines is a plus Familiarity with dashboarding tools (Power BI, Tableau) and Excel automation (VBA/macros) is preferred Comfort with Microsoft Excel and PowerPoint for presenting data-driven insights. Pharmaceutical Knowledge Strong interest in life sciences/pharmaceutical consulting. Exposure to pharmaceutical commercial models and patient journeys is a plus. Soft Skills Strong verbal and written communication skills. Analytical and problem-solving mindset with attention to detail. Ability to work collaboratively in teams as well as independently. Willingness to learn and grow in a fast-paced, high-impact consulting environment. BENEFITS Attractive Relocation & Home Office Set-Up Benefits Attractive Long-Term Incentive Bonuses over & above CTC* Gratuity applicable as per The Gratuity Act, over & above CTC. Comprehensive health & term insurance packages Generous Leave policy including but not limited to: Sick leave, casual leave, earned leave, bereavement leave, maternity & paternity leave

Key Responsibilities: Assist in collecting, cleaning, and analyzing large datasets from multiple sources Develop and maintain SQL queries for data extraction and manipulation Create automated data processing scripts using Python Design and build interactive dashboards and reports using Power BI Perform data validation and quality assurance checks Support ad-hoc analysis requests from various departments Assist in creating documentation for data processes and methodologies Help maintain and update existing Excel-based reporting systems Collaborate with team members on data visualization projects Participate in team meetings and contribute to project planning Required Qualifications Technical Skills (Mandatory): SQL: Proficient in writing complex queries, joins, subqueries, and stored procedures Python: Strong programming skills with experience in data manipulation libraries (Pandas, NumPy, Matplotlib, Seaborn) Power BI: Hands-on experience in creating dashboards, reports, and data modeling Advanced Microsoft Excel. Educational Requirements: Currently pursuing or recently completed a degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or related field Minimum GPA of 8.0 or equivalent Additional Qualifications: Strong analytical and problem-solving skills Attention to detail and accuracy in data handling Excellent communication skills, both written and verbal Ability to work independently and as part of a team Time management skills and ability to handle multiple projects Basic understanding of statistical concepts and data visualization principles Familiarity with database management systems Preferred Qualifications: Previous internship or project experience in data analysis Knowledge of additional programming languages (R, Java, etc.) Experience with cloud platforms (AWS, Azure, Google Cloud) Understanding of machine learning concepts Familiarity with data warehousing concepts Experience with additional BI tools (Tableau, Qlik, etc.) Knowledge of version control systems (Git) Job Types: Full-time, Permanent, Internship Contract length: 3-6 months Pay: ₹15,000.00 - ₹20,000.00 per month Benefits: Health insurance Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

Newton School of Technology is on a mission to transform technology education and bridge the employability gap. As India’s first impact university, we are committed to revolutionizing learning, empowering students, and shaping the future of the tech industry. Backed by renowned professionals and industry leaders, we aim to solve the employability challenge and create a lasting impact on society. We are currently looking for a Data Science Instructor - Data Mining to join our Computer Science Department. This is a full-time academic role focused on data mining, analytics, and teaching/mentoring students in core data science and engineering topics. Key Responsibilities: ● Develop and deliver comprehensive and engaging lectures for the undergraduate "Data Mining", “Big Data”, and “Data Analytics” courses, covering the full syllabus from foundational concepts to advanced techniques. ● Instruct students on the complete data lifecycle, including data preprocessing, cleaning, transformation, and feature engineering. ● Teach the theory, implementation, and evaluation of a wide range of algorithms for Classification, Association rules mining, Clustering, and Anomaly detection . ● Design and facilitate practical lab sessions and assignments that provide students with hands-on experience using modern data tools and software. ● Develop and grade assessments, including assignments, projects, and examinations, that effectively measure the Course Learning Objectives (CLOs). ● Mentor and guide students on projects, encouraging them to work with real-world or benchmark datasets (e.g., from Kaggle). ● Stay current with the latest advancements, research, and industry trends in data engineering and machine learning to ensure the curriculum remains relevant and cutting-edge. ● Contribute to the academic and research environment of the department and the university. Required Qualifications: ● A Ph.D. (or a Master's degree with significant, relevant industry experience) in Computer Science, Data Science, Artificial Intelligence, or a closely related field. ● Demonstrable expertise in the core concepts of data engineering and machine learning as outlined in the syllabus. ● Strong practical proficiency in Python and its data science ecosystem, specifically Scikit-learn, Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn). ● Proven experience in teaching, preferably at the undergraduate level, with an ability to make complex topics accessible and engaging. ● Excellent communication and interpersonal skills. Newton School of Technology is on a mission to transform technology education and bridge the employability gap. As India’s first impact university, we are committed to revolutionizing learning, empowering students, and shaping the future of the tech industry. Backed by renowned professionals and industry leaders, we aim to solve the employability challenge and create a lasting impact on society. We are currently looking for a Data Mining Engineer to join our Computer Science Department. This is a full-time academic role focused on data mining, analytics, and teaching/mentoring students in core data science and engineering topics. Key Responsibilities: ● Develop and deliver comprehensive and engaging lectures for the undergraduate "Data Mining", “Big Data”, and “Data Analytics” courses, covering the full syllabus from foundational concepts to advanced techniques. ● Instruct students on the complete data lifecycle, including data preprocessing, cleaning, transformation, and feature engineering. ● Teach the theory, implementation, and evaluation of a wide range of algorithms for Classification, Association rules mining, Clustering, and Anomaly detection. ● Design and facilitate practical lab sessions and assignments that provide students with hands-on experience using modern data tools and software. ● Develop and grade assessments, including assignments, projects, and examinations, that effectively measure the Course Learning Objectives (CLOs). ● Mentor and guide students on projects, encouraging them to work with real-world or benchmark datasets (e.g., from Kaggle). ● Stay current with the latest advancements, research, and industry trends in data engineering and machine learning to ensure the curriculum remains relevant and cutting-edge. ● Contribute to the academic and research environment of the department and the university. Required Qualifications: ● A Ph.D. (or a Master's degree with significant, relevant industry experience) in Computer Science, Data Science, Artificial Intelligence, or a closely related field. ● Demonstrable expertise in the core concepts of data engineering and machine learning as outlined in the syllabus. ● Strong practical proficiency in Python and its data science ecosystem, specifically Scikit-learn, Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn). ● Proven experience in teaching, preferably at the undergraduate level, with an ability to make complex topics accessible and engaging. ● Excellent communication and interpersonal skills. Preferred Qualifications: ● A strong record of academic publications in reputable data mining, machine learning, or AI conferences/journals. ● Prior industry experience as a Data Scientist, Big Data Engineer, Machine Learning Engineer , or in a similar role. ● Experience with big data technologies (e.g., Spark, Hadoop) and/or deep learning frameworks (e.g., TensorFlow, PyTorch). ● Experience in mentoring student teams for data science competitions or hackathons. Perks & Benefits: ● Competitive salary packages aligned with industry standards. ● Access to state-of-the-art labs and classroom facilities. ● To know more about us, feel free to explore our website: https://www.newtonschool.co/ We look forward to the possibility of having you join our academic team and help shape the future of tech education! ● A strong record of academic publications in reputable data mining, machine learning, or AI conferences/journals. ● Prior industry experience as a Data Scientist, Big Data Engineer, Machine Learning Engineer, or in a similar role. ● Experience with big data technologies (e.g., Spark, Hadoop) and/or deep learning frameworks (e.g., TensorFlow, PyTorch). ● Experience in mentoring student teams for data science competitions or hackathons. Perks & Benefits: ● Competitive salary packages aligned with industry standards. ● Access to state-of-the-art labs and classroom facilities. ● To know more about us, feel free to explore our website: Newton School of Technology. We look forward to the possibility of having you join our academic team and help shape the future of tech education!

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities: -Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. -Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services. -Optimizing existing generative AI models for improved performance, scalability, and efficiency. -Ensure data quality and accuracy -Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models. -Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models. -Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers -Experience working with cloud based platforms (example: AWS, Azure or related) -Strong problem-solving and analytical skills -Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI -Prior statistical modelling experience -Demonstrable experience with deep learning algorithms and neural networks -Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. -Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. -Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. -Must have strong knowledge of data structures, algorithms, and software engineering principles. -Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure. -Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. -Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly. -Need to have knowledge of software development methodologies, such as Agile or Scrum. -Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information: -Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable. -strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. -You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.

Summary As a Data Scientist you will build and deploy data-driven solutions to support business goals. You will use your skills in data analytics, machine learning (supervised and unsupervised) and GenAI, to translate complex data into actionable insights. As a data scientist you will work closely with cross-functional team of data engineers, product owners, Devops and bridge the gap between technical implementation and business needs. Responsibilities (Other duties may be assigned.) Experiment and feature engineer with data to design and build machine/deep learning models with appropriate precision, recall, F1 scores to meet the use case need Prompt engineer to develop new and enhance existing Gen-AI applications. (Chatbots, RAG). Develop and implement advanced AI agents capable of performing autonomous tasks, decision-making, and executing requirement-specific workflows. Document and create experiment reports on the implementation and code in a way that is clear and accessible to both technical and non-technical team members. Perform advanced data analysis, manipulation, and cleansing to extract actionable insights from structured and unstructured data. Create scalable and efficient recommendation systems that enhance user personalization and engagement. Effectively communicate technical solutions and findings to both technical and non-technical stakeholders. Design and deploy AI-driven chatbots and virtual assistants, focusing on natural language understanding and contextual relevance. Implement and optimize supervised and unsupervised learning models for NLP tasks, including text classification, sentiment analysis, and language generation. Explore, understand, and develop state-of-the-art technologies for AI agents, integrating them with broader enterprise systems. Collaborate with cross-functional teams to gather business requirements and deliver AI-driven solutions tailored to specific use cases. Automate workflows using advanced AI tools and frameworks to increase efficiency and reduce manual interventions. Stay informed about cutting-edge advancements in AI, machine learning, NLP, and Gen AI applications, and assess their relevance to the organization. Education and/or experience: At least 5 years of experience working with data sciences. Preferably with a bachelors (OR Master) degree in Computer Science, Data Science, or Artificial Intelligence. Knowledge Skills and Abilities: Strong understanding of mathematics including vector algebra and probability theory for understanding and explaining machine learning (discriminative and generative) models. Strong expertise in data analytics, pattern recognition, machine learning, including predictive modeling and recommendation systems. Excellent communication & documentation skills to articulate complex ideas to diverse audiences. Hands-on experience with large datasets and using distributed systems for analytics and modelling. Advanced understanding of natural language processing (NLP) techniques and tools, including transformers like BERT, GPT, or similar models including open-source LLMs. Strong knowledge of cloud platforms (AWS) for deploying and scaling AI models. Proficiency with code versioning platforms like CodeCommit and GitHub. Technical Skills: Python proficiency and hands-on experience with libraries like (Pandas, Dask, Numpy, Matplotlib, NLTK, Sklearn, Pytorch and Tensorflow). Experience in prompt engineering for AI models to enhance functionality and adaptability. Familiarity with AI agent frameworks like LangChain, OpenAI APIs, or other agent-building tools. Advanced skills in Relational databases [Postgres], Vector Database, querying, analytics, semantic search, and data manipulation. Strong problem-solving and critical-thinking skills, with the ability to handle complex technical challenges. Hands-on experience working with API frameworks like Flask, FastAPI, etc. Proficiency with code versioning platforms like CodeCommit and GitHub. Preferred: Hands-on experience building and deploying conversational AI, chatbots, and virtual assistants. Familiarity with MLOps pipelines and CI/CD for AI/ML workflows. Experience with reinforcement learning or multi-agent systems. Language Skills Ability to speak the English language proficiently, both verbally and in writing. Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Employee works primarily in a home office environment. The home office must be a well-defined work area, separate from normal domestic activity and complete with all essential technology including, but not limited to; separate phone, scanner, printer, computer, etc. as required in order to effectively perform their duties. Compliance with all relevant FINEOS Global policies and procedures related to Quality, Security, Safety, Business Continuity, and Environmental systems. Travel and fieldwork, including international travel may be required. Therefore, employee must possess, or be able to acquire a valid passport. Must be legally eligible to work in the country in which you are hired. FINEOS is an Equal Opportunity Employer. FINEOS does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

About Klook We are Asia’s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences . Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong, Klook inspires and enables more moments of joy for travelers with over half a million curated quality experiences ranging from the biggest attractions to paragliding adventures, iconic museums to rich cultural tours, and other convenient local travel services across 2,700 destinations around the world. Do you share our belief in the wonders of travel? Our international community of over 1,800 employees, based in 30+ locations, certainly do! Global citizens ourselves, Klookers are not only curating memorable experiences for others but also co-creating our world of joy within Klook. We work hard and play hard, upkeeping our high-performing culture as we are guided daily by our 6 core values: Customer First Push Boundaries Critical Thinking Build for Scale Less is More Win as One We never settle, and together, we believe in achieving greater heights and realizing endless possibilities ahead of us in the dynamic new era of travel. Care to be a part of this revolution? Join us! As a Data Scientist within the Pricing Strategy team, you will play a pivotal role in driving data-driven decision-making and optimizing pricing strategies. You will leverage your expertise in data science and analytics to develop and implement dynamic pricing models, predictive and prescriptive analysis, ultimately contributing to revenue growth and market competitiveness. What You'll Do Dynamic Pricing Model Development: Develop and implement advanced dynamic pricing models to optimize product pricing across various channels and markets. Predictive Analytics: Utilize predictive modeling techniques to forecast demand, market trends, and customer behavior, enabling proactive pricing adjustments. Prescriptive Analysis: Employ prescriptive analytics to identify optimal pricing strategies based on specific business objectives and constraints. Data Exploration and Analysis: Conduct in-depth data exploration and analysis to uncover valuable insights and inform pricing decisions. Model Evaluation and Refinement: Continuously evaluate and refine pricing models to ensure their accuracy and effectiveness. Collaboration: Collaborate with cross-functional teams (e.g., marketing, sales, finance) to align pricing strategies with overall business goals. Stay Updated: Stay abreast of the latest advancements in data science and pricing optimization techniques. What You'll Need Master's degree or PhD in Data Science, Statistics, Computer Science, Economics, or a related field. A minimum of 3-4 years of relevant experience in the field of Data Science. Strong programming skills in Python or R, including proficiency in data manipulation, analysis, and visualization libraries (e.g., Pandas, NumPy, Matplotlib, Seaborn). Experience with machine learning algorithms and techniques (e.g., regression, classification, clustering, time series analysis). Knowledge of statistical modeling and hypothesis testing. Experience with data warehousing and cloud computing platforms (e.g., AWS, GCP, Azure) is a plus. Excellent problem-solving and analytical skills. Ability to communicate complex technical concepts to both technical and non-technical audiences. Passion for data-driven decision-making and a continuous learner mindset. Klook is proud to be an equal opportunity employer. We hire talented and passionate people of all backgrounds. We believe that a joyful workplace is an inclusive workplace, one where employees from all walks of life have an equal opportunity to thrive. We’re dedicated to creating a welcoming and supportive culture where everyone belongs. Klook does not accept unsolicited resumes from any temporary staffing agency, placement service or professional recruiter (“Agency”). Klook will not be responsible for, and will not pay, any fees, commissions or other payments related to such unsolicited resumes. An Agency must obtain advance written approval from Klook’s Talent Acquisition Team to submit resumes, and then only in conjunction with a valid fully-executed agreement for service and in response to a specific job opening for which the Agency has been requested to submit resumes for. Klook will not be responsible for, and will not pay, any fees, commissions or other payments to any Agency that does not have such agreement in place or does not comply with the foregoing.

Job Title: Data Science Engineer – Thiruvarur (On-Site) Are you passionate about AI, Machine Learning, and Data Engineering? Join us as a Data Science Engineer and work on cutting-edge projects that blend ML , agentic AI systems , Java development , and data visualization . 🧠 Location: Thiruvarur (On-site) 📅 Type: full time 🌟 What You’ll Do: Assist in developing and training ML models (classification, NLP, prediction). Build data pipelines and preprocessing workflows using Python or Java . Contribute to agentic AI systems (e.g., AutoGPT, LangChain agents). Create insightful visualizations to communicate data-driven insights. Perform EDA to uncover trends and patterns. Help integrate AI modules into Java-based backend systems . Participate in AI/ML research, prototyping, and documentation. ✅ What We’re Looking For: Pursuing a degree in Computer Science , AI , Data Science , or related field. Strong in Java and Python programming. Familiarity with ML tools (scikit-learn, TensorFlow, PyTorch). Passion or experience in LLM-based agent systems . Good understanding of data structures , algorithms , and coding best practices. Experience with data viz tools like Matplotlib, Seaborn, or Plotly. Curious, collaborative, and eager to learn cutting-edge tech.

First Solar reserves the right to offer you a role most applicable to your experience and skillset. Basic Job Functions: This position manages organizational strategy and operations through design and statistical analysis of business initiatives and experiments. Works with business partners to understand what the business needs and issues are to address. Applies advanced knowledge of statistics and data mining (e.g., predictive modelling, simulation) or other mathematical techniques to recognize patterns and create insights from business data. Designs, develops, and evaluates statistical and predictive models that lead to business solutions. Serves as lead statistician for the unit, providing expertise, oversight, and guidance on statistical analysis efforts. Communicate findings and recommendations to management across different departments. Supports implementation efforts. Should lead and mentor the team working in the Data Competency Centre. Education/Experience: Bachelor’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 8-10 years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development Master’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 5+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development PhD degree in Data Science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 4+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development Working knowledge of budgets and financial statements Required Skills/Competencies: Demonstrated skill of managing teams; Ability to coach and mentor team members to drive results Demonstrated experience with programming languages and statistical software tools (Python, SAS, R, JMP or similar), relational databases (SQL server), data analysis and visualization software (preferably PowerBI, SAS). Demonstrated experience with standard data science and machine learning packages such as Numpy, Pandas, Matplotlib, seaborn, bokeh, plotly Demonstrated experience with the machine learning model stack (regression, classification, neural networks, time series) and packages (Scikit learn, Xgboost, Keras, Pytorch, Tensorflow, statsmodels) Demonstrated experience of the machine learning model tradeoffs such as hyper-parameter tuning, regularization, cross-validation, skewness in data, dimensionality reduction, and complexity vs interpretability. Demonstrated experience with utilizing advanced descriptive statistics and analysis techniques (such as forecasting, analysis of variance, t-tests, categorical data analysis, nonparametric data analysis, cluster analysis, factor analysis and multivariate statistical analysis) design business experiments and measure the impact of business actions. Demonstrated experience with computer vision models (e.g. image classification, object detection, and segmentation) Demonstrated experience working with various business partners to scope and design the statistical framework for business solutions and socialize and help integrate results. Strong communication skills to work with groups, and experience with communicating business implications of complex data relationships and results of statistical models to multiple business partners. Essential Responsibilities: Statistical Analysis & Model Development Works with business partners to identify and scope new opportunities for statistical analysis applications to evaluate business performance and to support business decisions. Works internally and with I/S and Enterprise Data Management to define, secure and prepare datasets for statistical modeling. Explores data using a variety of statistical (e.g., data mining, regression, cluster analysis) techniques to answer business questions or guide future model development. Build programs for running statistical tests on data and for understanding correlation of various attributes. Builds hypotheses, identifies research data attributes and determines the best approach to address business issues. Working with business partners leads development of experimental design for business initiatives. Applies advanced statistical techniques, including analysis of variance, t-tests, factor analysis, regression and multivariate analyses or simulation, to analyze the effects of business initiatives. Build predictive models (e.g. logistic regression, generalized linear models) as appropriate to support business partner objectives. Builds and deploys computer vision models (e.g., image classification, object detection, segmentation) to meet business needs. Prepares testing scenarios and tests model performance. Incorporates findings and provides insights as part of model development and enhancement. Provides guidance and direction related to statistical analysis to less experienced Data Science & Analytics staff as needed. Provides peer review related to analytics methods and results. Responsible for advanced analytics, including experimental design and analysis, for the most complex business experiments. Model Consultation, Implementation, & Communication Serves as statistical expert within the unit as well as in consultation to various areas of the business, to support design and analysis of business experiments. Leads analytics projects or components related to large, complex business initiatives. Prepare recommendations and findings for business partners. Works with research and analytics staff and other areas of the business on model application and implementation. Effectively communicates and delivers statistical and predictive model results to business partners, supporting socialization and adoption of analysis results into business activities and decisions. Assists with knowledge transfer and training to business areas regarding new analytics applications as part of implementation process. Works closely with business stakeholders to identify and answer critical questions. Assists in the development of standard analytical approaches and methodologies for the department. Provides knowledge transfer and training on new modeling and statistical analysis tools and methodologies to less experienced staff. Industry Research Research and maintain awareness of industry’s best practices and business strategies. Proactively brings in new and innovative ideas and approaches to develop business solutions. Research and leverage new statistical techniques and technologies to apply in their statistical research work. Reporting Relationships: Will report to Head- Automation Digital Transformation USA This role will have direct reports Travel: Physical Requirements: Will sit and stand for long periods of time during the day. Will walk, climb stairs and on equipment. May reach above shoulder heights and below the waist May lift up to 50 lbs. Required to use hands to finger, lift, handle, carry or feel objects. May stoop, kneel, bend, talk and hear. Specific vision abilities are required. All associates working on the production floor may be required to wear a respirator at any given time and thus, the ability to wear a respirator is a condition of employment and continued employment (require little or no facial hair). Office Physical Requirements: All positions in our office require interaction with people and technology while either standing or sitting. To best service our customers, internal and external, all associates must be able to communicate face-to-face and on the phone with or without reasonable accommodation. First Solar is committed to compliance with its obligations under all applicable state and federal laws prohibiting employment discrimination. In keeping with this commitment, it attempts to reasonably accommodate applicants and employees in accordance with the requirements of the disability discrimination laws. It also invites individuals with disabilities to participate in a good faith, interactive process to identify reasonable accommodations that can be made without imposing an undue hardship. Potential candidates will meet the education and experience requirements provided on the above job description and excel in completing the listed responsibilities for this role. All candidates receiving an offer of employment must successfully complete a background check and any other tests that may be required. Equal Opportunity Employer Statement: First Solar is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company. I have read and understand the above ‘Roles and Responsibilities’ for this position. I believe I meet the ‘Minimum Qualifications’ to perform the required ‘Essential Functions & Responsibilities’ to the best of my abilities. Job Identification 1021960 Job Category NPI-HSRT Integration Data Science Posting Date 07/17/2025, 12:17 AM Job Schedule Full time Locations Plot No.A-1/1 SIPCOT Industrial Park, Sriperumbudur, Tamil Nadu, 602105, IN Work Schedule Normal Shift New (PMT)

You are seeking a Full Stack Developer AI/ML with 0-1 year of experience to join an innovative team in Jodhpur. The ideal candidate should possess a solid understanding of machine learning models, backend development, and web application deployment. Your responsibilities will include designing, developing, and deploying AI/ML models for real-world applications, working with Python, TensorFlow, PyTorch, Scikit-Learn, and OpenCV for machine learning tasks, and developing RESTful APIs to integrate AI models with web applications. Additionally, you will be responsible for implementing and maintaining backend services using Node.js, FastAPI, or Flask, building and enhancing frontend UIs with React.js, Vue.js, or Angular, and managing databases (SQL & NoSQL like PostgreSQL, MongoDB, Firebase) for storing model outputs. Furthermore, you will optimize AI models for performance, scalability, and deployment using Docker, Kubernetes, or cloud services (AWS, GCP, Azure), work on data preprocessing, feature engineering, and model evaluation, and deploy models using MLOps pipelines (CI/CD, model versioning, monitoring). Collaboration with cross-functional teams for AI integration into business applications is also a part of your role. The required skills and qualifications for this position include 0-1 year of experience in AI/ML and full-stack development, strong proficiency in Python, TensorFlow, PyTorch, Scikit-Learn, Pandas, NumPy, experience with backend development using Node.js, FastAPI, Flask, or Django, knowledge of frontend frameworks like React.js, Vue.js, or Angular, familiarity with database management (SQL - PostgreSQL, MySQL | NoSQL - MongoDB, Firebase), understanding of machine learning workflows, model training, and deployment, experience with cloud services (AWS SageMaker, Google AI, Azure ML), knowledge of Docker, Kubernetes, and CI/CD pipelines for ML models, basic understanding of Natural Language Processing (NLP), Computer Vision (CV), and Deep Learning, familiarity with data visualization tools such as Matplotlib, Seaborn, Plotly, D3.js, strong problem-solving and analytical skills, good communication, and teamwork skills. Preferred qualifications include experience with LLMs (GPT, BERT, Llama) and AI APIs (OpenAI, Hugging Face), knowledge of MLOps, model monitoring, and retraining pipelines, understanding of Reinforcement Learning (RL) and Generative AI, familiarity with Edge AI and IoT integrations, and previous internship or project experience in AI/ML applications. As part of the benefits, you will receive a competitive salary package, hands-on experience with AI-driven projects, mentorship from experienced AI engineers, a flexible work environment (Remote/Hybrid), and career growth and learning opportunities in AI/ML.,

As a Python Developer specializing in Machine Learning and Artificial Intelligence with 2 to 3 years of experience, you will be responsible for developing, training, and deploying machine learning models. Your expertise in Python and associated data science libraries will be crucial in collaborating with our data science and engineering teams to create intelligent solutions that address real-world challenges. You will have the opportunity to work on AI-driven applications, including predictive modeling, natural language processing, and computer vision, based on project requirements. Your key responsibilities will include developing and maintaining machine learning models using Python, working on AI-driven applications, collaborating with cross-functional teams to translate business requirements into ML solutions, preprocessing and transforming data for training and evaluation, as well as performing model training, tuning, evaluation, and deployment using tools like scikit-learn, TensorFlow, or PyTorch. It will be essential for you to write modular, efficient, and testable code, document processes, models, and experiments clearly for team use and future reference, and stay updated with the latest trends and advancements in AI and machine learning. To excel in this role, you should have 2 to 3 years of hands-on experience with Python programming, a solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning), experience with libraries such as scikit-learn, pandas, NumPy, Matplotlib, and Seaborn, exposure to deep learning frameworks like TensorFlow, Keras, or PyTorch, a good understanding of data structures and algorithms, and experience with model evaluation techniques and performance metrics. Familiarity with Jupyter Notebooks, version control (Git), and cloud platforms (AWS, GCP, or Azure) is a plus. Strong analytical and problem-solving skills are essential for this position. Preferred qualifications include a Bachelors or Masters degree in Computer Science, Data Science, Mathematics, or a related field, experience with deploying ML models using Flask, FastAPI, or Docker, knowledge of MLOps and model lifecycle management, as well as an understanding of NLP or Computer Vision. If you are a motivated Python Developer with a passion for Machine Learning and AI, and possess the required skills and qualifications, we invite you to join our team and contribute to building innovative solutions that make a positive impact.,

As a Data Analyst, you will be responsible for collecting, organizing, and cleaning large datasets from various sources such as internal databases, external APIs, and spreadsheets. Your role includes ensuring data accuracy, completeness, and consistency by cleaning and transforming raw data into usable formats. In addition to data collection and cleaning, you will perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Your responsibilities will also involve conducting statistical analysis to support decision-making and uncover insights. Using analytical methods, you will identify opportunities for process improvements, cost reductions, and efficiency enhancements. You will be tasked with creating and maintaining clear, actionable, and accurate reports and dashboards for technical and non-technical stakeholders. This includes designing data visualizations such as charts, graphs, and tables to effectively communicate findings to decision-makers. Experience in tools like PowerBI, Tableau, and Python libraries for data visualization is essential. Furthermore, you will collaborate with cross-functional teams to understand their data needs and provide actionable insights. Working closely with IT and database administrators, you will ensure data is accessible and well-structured. Your role will also involve preparing reports for upper management and other departments, presenting key findings and recommendations. Data integrity and security are crucial aspects of your responsibilities. You will ensure compliance with data privacy and security policies while maintaining data integrity and implementing best practices for data storage and access. To excel in this role, you should stay updated with emerging data analysis techniques, tools, and industry trends. Recommending improvements to data collection, processing, and analysis procedures to enhance operational efficiency is also expected. Qualifications: - Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. - Master's degree or relevant certifications in data analysis or business intelligence is a plus. Experience: - Proven experience as a Data Analyst or in a similar analytical role (typically 7+ years). - Proficiency with data visualization tools like Tableau, Power BI, Looker. - Strong knowledge of SQL, relational databases, and data manipulation tools like Python, R, Excel, SPSS. - Experience with big data technologies such as Hadoop and Spark is advantageous. Technical Skills: - Proficiency in SQL and data query languages. - Knowledge of statistical analysis and methodologies. - Experience with data visualization and reporting tools. - Familiarity with data cleaning and transformation techniques. - Understanding of machine learning and AI concepts is beneficial for advanced roles. Soft Skills: - Strong analytical and problem-solving abilities. - Excellent attention to detail and ability to identify trends in complex data sets. - Good communication skills to present data insights clearly to technical and non-technical audiences. - Ability to work independently and collaboratively within a team. - Strong time management and organizational skills to prioritize tasks effectively.,

We are looking for a highly motivated and enthusiastic Senior Data Scientist with 5-8 years of experience to join our dynamic team. The ideal candidate should have a strong background in AI/ML analytics and a passion for utilizing data to drive business insights and innovation. Your main responsibilities will include developing and implementing machine learning models and algorithms, collaborating with project stakeholders to understand requirements and deliverables, analyzing and interpreting complex data sets using statistical and machine learning techniques, staying updated with the latest advancements in AI/ML technologies, and supporting various AI/ML initiatives by working with cross-functional teams. To qualify for this role, you should have a Bachelor's degree in Computer Science, Data Science, or a related field, along with a strong understanding of machine learning, deep learning, and Generative AI concepts. Preferred skills for this position include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and Deep Learning stack using Python. Additionally, expertise in cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue), building secure data ingestion pipelines for unstructured data, proficiency in Python, TypeScript, NodeJS, ReactJS, data visualization tools, deep learning frameworks, version control systems, and Generative AI/LLM based development is desired. Good to have skills include knowledge and experience in building knowledge graphs in production and an understanding of multi-agent systems and their applications in complex problem-solving scenarios. Pentair is an Equal Opportunity Employer, valuing cross-cultural insight and competence for ongoing success, with a belief that a diverse workforce enhances perspectives and ideas for continuous improvement.,

Position: Data Scientist Intern Company: Evoastra Ventures Pvt. Ltd. Location: Remote Duration: 1 month Stipend: Unpaid Type: Internship (Remote) Open To: Students, freshers, and early professionals About Evoastra Ventures Evoastra Ventures is a research-first data and AI solutions company focused on delivering value through predictive analytics, market intelligence, and technology consulting. Our goal is to empower businesses by transforming raw data into strategic decisions. As an intern, you will work with real-world datasets and gain industry exposure that accelerates your entry into the data science domain. Role Overview We are seeking highly motivated and analytical individuals for our Data Scientist Internship. This role is designed to give you hands-on exposure to real datasets, problem-solving tasks, and model development under the guidance of industry professionals. Responsibilities Perform data cleaning, preprocessing, and transformation Conduct exploratory data analysis (EDA) and identify trends Assist in the development and evaluation of machine learning models Contribute to reports and visual dashboards summarizing key insights Document workflows and collaborate with team members on project deliverables Participate in regular project check-ins and mentorship discussions Tools & Technologies Python, NumPy, Pandas, Scikit-learn Matplotlib, Seaborn Jupyter Notebook GitHub (for collaboration and version control) Power BI or Google Data Studio (optional but preferred) Eligibility Criteria Basic knowledge of Python, statistics, and machine learning concepts Good analytical and problem-solving skills Willingness to learn and adapt in a remote, team-based environment Strong communication and time-management skills Laptop with stable internet connection What You Will Gain Verified Internship Certificate Letter of Recommendation (based on performance) Real-time mentorship from professionals in data science and analytics Project-based learning and portfolio-ready outputs Priority consideration for future paid internships or full-time roles at Evoastra Recognition in our internship alumni community Application Process Submit your resume via our internship application form at www.evoastra.in Selected candidates will receive an onboarding email with further steps This internship is fully remote and unpaid Build your career foundation with hands-on data science projects that make an impact.