1425 Matplotlib Jobs - Page 13

Ciklum is looking for a Senior Data Scientist to join our team full-time in India. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As a Senior Data Scientist, become a part of a cross-functional development team working for A healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. Our technology helps enterprise and partnership clients simplify their businesses and helps consumers save on prescriptions. Our client is a leader in SaaS technology for healthcare, They offer innovative solutions with integrated intelligence on a single enterprise platform that connects the pharmacy ecosystem. With their expertise and modern, modular platform, our partners use real-time data to transform their business performance and optimize their innovative models in the marketplace. Responsibilities: Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets Work on exploratory data analysis so you can navigate a dataset and come out with broad conclusions based on initial appraisals Provide optimization recommendations that drive KPIs established by product, marketing, operations, PR teams, and others Interacts with engineering teams and ensures that solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability Work directly with business analysts and data engineers to understand and support their use cases Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions Drive innovation by exploring new experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processes Cross-trains other team members on technologies being developed, while also continuously learning new technologies from other team members Contribute to unit’s activities and community building, participate in conferences, and provide excellence in exercise and best practices Requirements: We know that sometimes, you can’t tick every box. We would still love to hear from you if you think you’re a good fit! 5+ years of development of Data Science solutions with a proven track record of leveraging analytics to drive significant business impact Bachelor's/Master's degree in Mathematics, Statistics, Computer Science, Operations Research, Econometrics or related field Proven ability to relate and solve business problems through machine learning and statistics 4+ years of experience applying various machine learning techniques: regression, classification, clustering, dimensional reduction, time series prediction, and/or outlier detection, recommendation systems Understanding of advantages and drawbacks of machine learning algorithms as well as their usage constraints including performance 4+ years of experience in Python development of machine learning solutions and statistical analysis: Pandas, SciPy, Scikit-learn, XGBoost, LightGBM, and/or statsmodels, imbalanced-learn libraries and ML libraries like scikit-learn, TensorFlow, PyTorch, data wrangling and visualization (e.g., Pandas, NumPy, Matplotlib, Seaborn Experience in working with large-scale datasets, including time series and healthcare data Experience with NLP, deep learning and GenAI Experience diving into data to consider hidden patterns and conducting error analysis 2+ years experience in data visualization: Power BI, Tableau, and/or Python libraries like Matplotlib and Seaborn Experience with SQL for data processing, data manipulation, sampling, reporting 3+ years experience creating/maintaining of OOP Machine Learning solutions Understanding of CRISP-ML(Q) / TDSP concept 1+ year of experience with MLOps: integration of reliable Machine Learning Pipelines in Production, Docker, containerization, orchestration 2+ years of experience with Clouds (AWS, Azure, GCP) and Clouds AI And ML Services(e.g. Amazon Sage Maker, Azure ML) Excellent time and project management skills, with the ability to manage detailed work and communicate project status effectively to all levels Desirable: Probability Theory & Statistics knowledge and intuition as well as understanding of Mathematics behind Machine Learning 1+ year of experience in Deep Learning solution development with Tensorflow or PyTorch libraries Data Science / Machine Learning certifications, or research experience with papers being published Experience with Kubernetes Experience with Databricks, Snowflake platforms 1+ year of BigData experience, i.e. Hadoop / Spark Experience with No-SQL, and/or columnar/graph databases What`s in it for you? Care: your mental and physical health is our priority. We ensure comprehensive company-paid medical insurance, as well as financial and legal consultation Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy license, language courses and company-paid certifications Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally Opportunities: we value our specialists and always find the best options for them. Our Resourcing Team helps change a project if needed to help you grow, excel professionally, and fulfil your potential Global impact: work on large-scale projects that redefine industries with international and fast-growing clients Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events About us: India is a strategic growth market for Ciklum. Be a part of a big story created right now. Let’s grow our delivery center in India together! Boost your skills and knowledge: create and innovate with like-minded professionals — all of that within a global company with a local spirit and start-up soul. Supported by Recognize Partners and expanding globally, we will engineer the experiences of tomorrow! Be bold, not bored! Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.

At Jellyfish, we believe in the power of diverse perspectives and inclusive collaboration. We welcome individuals who excel in collaborative, varied teams and value the unique contributions that each person brings to the table. Jellyfish is a global digital marketing agency; a unique fusion of tech enthusiasts, creative minds, and media and data experts all united to empower our clients along their digital journey. Our commitment to embracing diverse perspectives fuels our innovation and strategies that challenge the status quo, reinvent media activation, and craft influential stories for our global clients and their customers. Join us in shaping a future where business growth and personal fulfilment go hand in hand. Job Description Reporting to our Director of Data Science, Investment Analytics, you will create an impact within our Investment Analytics practice and help with the Paid Media data applications that Jellyfish uses to lead expertise, improve, and transform solutions and services for our clients. You'll help lead complex data science solutions, guiding multi-capability presentations, and taking ownership of advanced measurement and testing for our clients. Join us in our mission to deliver data-inspired excellence! Your primary responsibilities will include: Analyze data to discover hidden trends; deliver insights with clear applicable recommendations. You will be working on EST hours (6:30 PM to 3:30 AM IST) Dedicate time to explaining and promoting the use of data science methodologies such as Media Mix Models, Geo-based Incrementally. Experiments, Causal Impact Studies, and other statistically sound testing approaches. Ensure these methodologies enhance campaign performance for existing clients, providing tangible improvements and insights. Develop, and implement Marketing Mix Models to improve media performance, customer experiences, revenue generation, and other outcomes. Work with platform partners to grow the suite of mathematical techniques for Incrementally Testing, Media Mix Modeling and Data Clean Rooms using both open-source and in-house code to create an excellent offering for clients. Document analytics projects in a manner that ensures specific processes can be replicated and scaled across an organisation. Qualifications Fluency in English. Programming proficiency in Python and SQL. 1 + years of experience in a data role. analyzing media and web data, such as Amazon Marketing Cloud, Google ADH, Campaign Manager, Meta, and Google Analytics . Proficiency in visualizing data using Tableau, Looker, Matplotlib, or equivalents. Strong Experience with the marketing ecosystem and measurement framework, including paid display, search, social, video, organic, web, and app. Skilled in media measurement methodologies such as media mix modeling, incrementality analysis, and attribution modeling. You seek and implement solutions to improve and automate processes. An understanding of machine learning concepts with hands-on experience. A collaborative mindset—you value diverse perspectives, work well in teams, and are motivated by shared goals. Problem-solving skills—when faced with challenges, you work with others to explore options and identify practical solutions. Note: We emphasise skills, expertise and behavioural attributes over years of experience and traditional degrees. If you want to join our collaborative team, we invite you to apply today with your resume in English. Additional Information Join Jellyfish and experience a workplace where we prioritise your growth, celebrate your contributions, and empower you to tailor your work environment to suit your needs. 💰 Reward: You'll be eligible to join our discretionary annual bonus scheme. 💫 Custom Work Environment: Work remotely in a night shift model. 📈 Growth, Your Way: Accumulate one paid day each month (2 hours per week) for self-development and access to Jellyfish Learn. Unfortunately, there has been an increase in fake recruiters impersonating Jellyfish and unlawfully using our brand name. If you are unsure if an email with a job offer you have received is genuinely from Jellyfish, or if you suspect any fraudulent activity, please report it to talentacquisition@jellyfish.com .

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities,collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client"s challenges of today and tomorrow.Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your role As a Senior Data Scientist, you are expected to develop and implement Artificial Intelligence based solutions across various disciplines for the Intelligent Industry vertical of Capgemini Invent. You are expected to work as an individual contributor or along with a team to help design and develop ML/NLP models as per the requirement. You will work closely with the Product Owner, Systems Architect and other key stakeholders right from conceptualization till the implementation of the project. You should take ownership while understanding the client requirement, the data to be used, security & privacy needs and the infrastructure to be used for the development and implementation. The candidate will be responsible for executing data science projects independently to deliver business outcomes and is expected to demonstrate domain expertise, develop, and execute program plans and proactively solicit feedback from stakeholders to identify improvement actions. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with stakeholders from different functional and business teams. The role also requires the candidate to collaborate on ML asset creation and eager to learn and impart trainings to fellow data science professionals. We expect thought leadership from the candidate, especially on proposing to build a ML/NLP asset based on expected industry requirements. Experience in building Industry specific (e.g. Manufacturing, R&D, Supply Chain, Life Sciences etc), production ready AI Models using microservices and web-services is a plus. Programming Languages Python NumPy, SciPy, Pandas, MatPlotLib, Seaborne Databases RDBMS (MySQL, Oracle etc.), NoSQL Stores (HBase, Cassandra etc.) ML/DL Frameworks SciKitLearn, TensorFlow (Keras), PyTorch, Big data ML Frameworks - Spark (Spark-ML, Graph-X), H2O Cloud Azure/AWS/GCP Your Profile Predictive and Prescriptive modelling using Statistical and Machine Learning algorithms including but not limited to Time Series, Regression, Trees, Ensembles, Neural-Nets (Deep & Shallow CNN, LSTM, Transformers etc.). Experience with open-source OCR engines like Tesseract, Speech recognition, Computer Vision, face recognition, emotion detection etc. is a plus. Unsupervised learning Market Basket Analysis, Collaborative Filtering, Dimensionality Reduction, good understanding of common matrix decomposition approaches like SVD. Various Clustering approaches Hierarchical, Centroid-based, Density-based, Distribution-based, Graph-based clustering like Spectral. NLP Information Extraction, Similarity Matching, Sentiment Analysis, Text Clustering, Semantic Analysis, Document Summarization, Context Mapping/Understanding, Intent Classification, Word Embeddings, Vector Space Models, experience with libraries like NLTK, Spacy, Stanford Core-NLP is a plus. Usage of Transformers for NLP and experience with LLMs like (ChatGPT, Llama) and usage of RAGs (vector stores like LangChain & LangGraps), building Agentic AI applications. Model Deployment ML pipeline formation, data security and scrutiny check and ML-Ops for productionizing a built model on-premises and on cloud. Required Qualifications Masters degree in a quantitative field such as Mathematics, Statistics, Machine Learning, Computer Science or Engineering or a bachelors degree with relevant experience. Good experience in programming with languages such as Python/Java/Scala, SQL and experience with data visualization tools like Tableau or Power BI. Preferred Experience Experienced in Agile way of working, manage team effort and track through JIRA Experience in Proposal, RFP, RFQ and pitch creations and delivery to the big forum. Experience in POC, MVP, PoV and assets creations with innovative use cases Experience working in a consulting environment is highly desirable. Presupposition High Impact client communication The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI.

Title: Lead Data Scientist (Python) Required Technical Skillset:Language : Python, PySpark Framework - Scikit-learn, TensorFlow, Keras, PyTorch, Libraries - NumPy, Pandas, Matplotlib, SciPy, Scikit-learn - DataFrame, Numpy, boto3 Database - Relational Database(Postgres), NoSQL Database (MongoDB) Cloud - AWS cloud platforms Other Tools - Jenkins, Bitbucket, JIRA, Confluence A machine learning engineer is responsible for designing, implementing, and maintaining machine learning systems and algorithms that allow computers to learn from and make predictions or decisions based on data. The role typically involves working with data scientists and software engineers to build and deploy machine learning models in a variety of applications such as natural language processing, computer vision, and recommendation systems. The key responsibilities of a machine learning engineer includes: Collecting and preprocessing large volumes of data, cleaning it up, and transforming it into a format that can be used by machine learning models. Model building which includes Designing and building machine learning models and algorithms using techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning. Evaluating the model performance of machine learning models using metrics such as accuracy, precision, recall, and F1 score. Deploying machine learning models in production environments and integrating them into existing systems using CI/CD Pipelines, AWS Sagemaker Monitoring the performance of machine learning models and making adjustments as needed to improve their accuracy and efficiency. Working closely with software engineers, product managers and other stakeholders to ensure that machine learning models meet business requirements and deliver value to the organization. Requirements and Skills: Mathematics and Statistics: A strong foundation in mathematics and statistics is essential. They need to be familiar with linear algebra, calculus, probability, and statistics to understand the underlying principles of machine learning algorithms. Programming Skills: Should be proficient in programming languages such as Python. The candidate should be able to write efficient, scalable, and maintainable code to develop machine learning models and algorithms. Machine Learning Techniques: Should have a deep understanding of various machine learning techniques, such as supervised learning, unsupervised learning, and reinforcement learning and should also be familiar with different types of models such as decision trees, random forests, neural networks, and deep learning. Data Analysis and Visualization: Should be able to analyze and manipulate large data sets. The candidate should be familiar with data cleaning, transformation, and visualization techniques to identify patterns and insights in the data. Deep Learning Frameworks: Should be familiar with deep learning frameworks such as TensorFlow, PyTorch, and Keras and should be able to build and train deep neural networks for various applications. Big Data Technologies: A machine learning engineer should have experience working with big data technologies such as Hadoop, Spark, and NoSQL databases. They should be familiar with distributed computing and parallel processing to handle large data sets. Software Engineering: A machine learning engineer should have a good understanding of software engineering principles such as version control, testing, and debugging. They should be able to work with software development tools such as Git, Jenkins, and Docker. Communication and Collaboration: A machine learning engineer should have good communication and collaboration skills to work effectively with cross-functional teams such as data scientists, software developers, and business stakeholders.

Company: Haris & Co Academy Location: Calicut, Kerala Job Summary: Haris & Co Academy is seeking a dynamic and skilled Python Django Full-Stack Mentor to lead learners through an AI-integrated full-stack development journey. This role involves delivering project-based training in Python, Django, React.js, MySQL, and other key technologies, with a special focus on AI-powered web development. As a mentor, you will guide students from fundamental programming concepts to deployment-ready full-stack applications, preparing them for professional roles in tech. Key Responsibilities: Mentorship & Guidance: Provide 1:1 and group mentorship to learners across all levels. Support students in debugging code, understanding concepts, and building real-world projects. Monitor student progress and offer tailored learning strategies. Curriculum Delivery: Deliver structured, project-based sessions across five modules: Python, Frontend (React.js), MySQL, Django, and API/Cloud deployment. Ensure understanding of both theoretical and practical aspects, including: Python basics to OOP and AI modules React fundamentals and advanced state management Django ORM, views, templates, authentication REST APIs with Django REST Framework Cloud deployment with PythonAnywhere Real-World Projects: Guide students through 6+ end-to-end projects, including an AI-Integrated Full-Stack Web Application. Review student code and provide actionable feedback on performance, structure, and best practices. AI & Industry Integration: Integrate Python libraries like NumPy, Pandas, and Matplotlib in web development contexts. Share real-world insights and use cases related to AI-powered web applications. Career Support: Assist in GitHub portfolio building, project documentation, and deploying apps. Guide students in resume writing, LinkedIn optimization, and interview preparation for developer roles. Operational Support: Support daily academic operations, contribute to curriculum updates, and assist in organizing workshops, hackathons, or bootcamps. Qualifications: Technical Skills: Strong expertise in Python, Django, Django REST Framework, React.js, MySQL, HTML/CSS/JS. Proficient in Python libraries for data analysis and visualization (NumPy, Pandas, Matplotlib). Understanding of RESTful API design, version control (Git/GitHub), and basic cloud deployment (e.g., PythonAnywhere, Heroku). Bonus: Knowledge of asynchronous programming, image processing, and AI model integration. Soft Skills: Excellent communication and presentation skills. Passion for teaching and mentoring learners. Ability to simplify complex concepts and encourage project-based learning. Preferred: Prior experience as a trainer, mentor, or instructor in an academic/bootcamp setting. Familiarity with agile workflows and edtech platforms. Experience deploying web applications and integrating third-party APIs. Job Type: Freelance Work Location: In person

Gurugram Full Time 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.

Job Responsibilities 1. Design and implement data-driven applications using Python, MySQL, Power BI, Excel, and JavaScript to support real-time decision-making and enhance process efficiency. 2. Develop and simulate control system models using MATLAB/Simulink for system validation, optimization, and predictive algorithm deployment. 3. Program, integrate, and test industrial control systems using CODESYS, ensuring robust and reliable performance in automated manufacturing environments. 4. Contribute to the development and testing of MEMS sensor-based systems for industrial applications. 5. Collaborate on computer vision and IIoT projects to enhance machine intelligence and smart factory capabilities (Industry 4.0). 6. Ensure adherence to industry standards (ISO 9000/14000/18000, SIL, ANSI, ATEX, IEC 61131-3, NFPA). 7. Conduct rigorous sensor testing and validation, and support integration with RTOS and real-time communication protocols. 8. Maintain technical documentation and actively contribute to innovation and research initiatives. 9. Embedded Systems & Microcontrollers (Arduino, PIC,Circuit Design & PCB Layout (Altium, KiCad, OrCAD, Eagle) 10. Power Electronics & Electrical Testing (Load testing, insulation resistance, high-voltage testing) Skills & Traits: · Programming: Python, OOPs, Node-RED, NumPy, Pandas, Matplotlib, OpenCV, Seaborn, JavaScript · Tools & Platforms: MySQL, Power BI, MATLAB Simulink, LabVIEW, CODESYS, Excel · Technical Expertise: Sensor Testing & Validation, RTOS, IIOT, Instrumentation & Control, Drives & Controls · Industry Standards: ISO 9000/14000/18000, SIL, ANSI, ATEX, IEC 61131-3, NFPA · Communication Protocols: I2C, SPI, UART, SERCOS, Profibus, Profinet, Ethernet, Modbus, Fieldbus, OPC UA. Qualification: B.Tech/B.E. /M.Tech in Electronics & Communication, Electrical, Instrumentation, Mechatronics, or Computer Science Engineering Experience: Minimum 3-6 yrs.

Key Responsibilities Business Process Analysis Design and maintain comprehensive analytics frameworks for business processes and financial workflows Develop dashboards and reports that provide real-time insights into key business metrics Analyze user interaction patterns with AI features to improve adoption and effectiveness Create and maintain ETL pipelines (if necessary) to ensure data quality and accessibility Generate actionable insights from complex financial datasets to guide product strategy AI Platform Analysis Develop and implement frameworks to evaluate the performance of LLM-based systems and AI agent.s Analyze AI model outputs, response quality, and automation effectiveness Track and report on key AI performance metrics such as accuracy, latency, and automation rates Collaborate with ML engineers to identify areas for model improvements based on data insights Create dashboards for monitoring AI system performance and reliability Conduct A/B testing of different AI configurations and prompt strategies Strategic Impact Provide data-driven recommendations for improving both AI capabilities and business processes Partner with product teams to define and track success metrics for AI features Collaborate with customer success teams to analyze user feedback and AI system effectiveness Build and maintain documentation for AI performance metrics and analytics processes Qualifications Required Qualifications 5+ years of experience in data analysis, with recent exposure to AI/ML systems Strong proficiency in SQL and Python for data manipulation and analysis Experience analyzing AI/ML system performance and metrics Expert-level experience with business intelligence tools (e.g., Tableau, Power BI, Looker) Experience working with large-scale financial datasets and ETL processes Strong statistical analysis skills and experience with A/B testing Experience with cloud-based data warehouses (preferably Snowflake) Bachelor’s degree in Statistics, Mathematics, Computer Science, or related field Preferred Qualifications Experience analyzing LLM-based systems and generative AI applications Knowledge of NLP metrics and evaluation frameworks Experience with financial systems and processes (AP, AR, Vendor Management) Familiarity with prompt engineering and LLM performance optimization Experience with real-time analytics and streaming data Knowledge of data privacy and compliance requirements in finance Master’s degree in related field Technical Skills Data Analysis & Visualization Python (Pandas, NumPy, Matplotlib, Seaborn, Plotly, Dash) SQL (expert-level analytics) Tableau/Power BI/QuickSight Excel (advanced) AI/ML Analytics LLM evaluation metrics AI monitoring frameworks Prompt effectiveness analysis Data Infrastructure Snowflake or similar data warehouses AWS/Azure data services Experience with ETL tools and frameworks Data modeling Statistics & Testing Statistical analysis A/B testing Hypothesis testing Experimental design Skills: llm evaluation metrics,data,etl,analytics,cloud-based data warehouses,ai monitoring frameworks,statistical analysis,power bi,a/b testing,looker,tableau,etl processes,data analysis,ai,sql,python

Brilliant Minds Never Stop Learning - Join a Team That Gets it Kognosdata Pvt. Ltd. (India Division of Petrabytes) : The Oil & Gas industry deals with complex scientific computations, massive datasets, and real-time decision-making challenges. Traditional software struggles to handle these demands efficiently. At Petrabytes (Kognosdata Pvt. Ltd., India Division), we're Empowering the oil & gas industry with cutting edge scientific software. We believe in collaboration & learning as they spark innovation, drive progress and push technology forward. If you love solving real-world problems with Python we want you on our team at India Division Kognosdata Pvt. Ltd. What Youll Need : Experience : We welcome experienced developers 4+ years with strong programming & problem solving skills. Must Have Skills : - Python Programming (strong foundation required) - Version Control - SVN & GIT - Data Processing - Pandas & Numpy - Big Data - pyspark - Fast api - Data Visualization - Matplotlib & Plotly - Web Development - Flask - Speaking Skills - Managing a team - Databases (SQL & NoSQL) - Problem-Solving ability - Breaking down complex challenges - Logical Thinking Your Role in Action : - Writing efficient , scalable & maintainable Python codes - Designing and implementing robust, high-performance applications - Debugging & optimize applications to ensure low-latency and high-availability - Managing a team - Ensuring privacy best practices & data protection measures - Assess and prioritize feature requests - Collaborate with internal teams to understand user requirements and deliver technical solutions - Work independently when required , while contributing to team-driven projects At Kognosdata we foster a culture of collaboration & learning! Ready to join us? Send your résumé to: hr@kognosdata.com Job Type: Full-time Pay: Up to ₹1,662,028.90 per year Ability to commute/relocate: Banaswadi, Bengaluru, Karnataka: Reliably commute or willing to relocate with an employer-provided relocation package (Required) Experience: Python: 4 years (Required) Work Location: In person

Job Title: Data Analyst Intern Company: Innovate Solutions Location: Remote Job Type: Internship (Full-Time) Duration: 1–3 Months Stipend: ₹25,000/month Department: Data Analytics About the Company: Innovate Solutions is a fast-growing technology company that empowers businesses through intelligent data solutions, automation, and innovative software. We help clients turn raw data into actionable insights to improve decision-making and performance. Job Summary: We are looking for a highly motivated Data Analyst Intern to join our analytics team. In this role, you will work with real datasets, create reports, visualize trends, and help uncover meaningful business insights. Key Responsibilities: Collect, clean, and analyze data from various sources Perform exploratory data analysis (EDA) to identify patterns and insights Create dashboards and reports using Excel, Power BI, or Tableau Write SQL queries to extract, manipulate, and manage data Support teams with ad-hoc data requests and reporting needs Assist in presenting data-driven insights to stakeholders Requirements: Pursuing or recently completed a degree in Data Science, Statistics, Computer Science, or related field Strong analytical and problem-solving skills Basic knowledge of SQL and Excel Familiarity with data visualization tools like Power BI or Tableau Knowledge of Python (pandas, matplotlib) is a plus Good communication and documentation skills Ability to work independently in a remote setup Perks & Benefits: ₹25,000/month stipend Internship certificate upon completion Hands-on experience with real-world data projects Mentorship from experienced data professionals Flexible work-from-home opportunity

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