287 Seaborn Jobs - Page 11

Job Type Full time Job Description Key Responsibilities: Analyze large datasets to extract actionable insights and drive data-driven decision-making. Develop predictive models and machine learning algorithms to solve business problems. Design and implement data preprocessing, feature engineering, and model training pipelines. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Communicate findings and recommendations to stakeholders through data visualization and storytelling. Stay abreast of the latest developments in data science, machine learning, and AI technologies. Required Skills: 3-4 years of hands-on experience in data analysis and machine learning. Proficiency in programming languages such as Python or R for data manipulation and analysis. Experience with machine learning libraries/frameworks such as scikit-learn, TensorFlow, or PyTorch. Strong understanding of statistical concepts and techniques. Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau. Familiarity with SQL and relational databases for data querying and manipulation. Excellent problem-solving and analytical skills, with attention to detail. Good communication and collaboration skills, with the ability to work effectively in a team environment.

Sr.Analyst Instructional Designer (Tech Content Strategist) – Data Job Overview Are you a certified Data professional with a creative flair and a passion for content design? Join us to create impactful, learner-centered content that blends real-world expertise with engaging storytelling. As a Sr. Analyst – Tech Content Strategist, you will lead the end-to-end development of engaging, instructionally sound learning experiences in the Data domain. Acting as a subject matter expert (SME), you’ll translate complex frameworks into clear, outcome-focused content across digital formats. This role demands strong instructional design expertise, a deep understanding of learner needs, and the ability to creatively script and plan high-impact learning assets—from video courses to assessments. Job Responsibilities Own the content development lifecycle—plan, research, script, storyboard review, strategic video review and iterate—for Data Design creative and effective learning experiences grounded in instructional design principles, addressing diverse learner personas and real-world scenarios. Author and script engaging digital content, including on-demand videos, interactive walkthroughs/lessons, assessments, and job aids. Collaborate with visual designers, editors, and technical experts to bring content to life in a compelling and accessible format. Align content with industry certification frameworks (e.g., Microsoft Certified, CAP, Azure, Oracle, AWS, CompTIA) and learner performance outcomes. Apply learner-centered design by identifying learning gaps and tailoring content that improves retention, engagement, and job readiness. Utilize Generative AI tools to accelerate and enhance content ideation, scripting, and personalization while maintaining content quality. Ensure instructional consistency, voice, and quality across all course deliverables and formats. Optionally support bootcamps (virtual training delivery) and mentor junior content developers. Skills Required Minimum 5+ years of hands-on experience in data analytics, data visualization, or other data fields. Demonstrated experience in instructional design, especially in developing digital learning products from concept to delivery. Excellent scripting, writing, and communication skills; able to distill complex concepts into concise, engaging narratives. Strong creativity and storytelling ability with an understanding of how to structure content for different learning styles. Fluency with and experience in programming such as Python and SQL. Fluency and experience with data libraries such as NumPy, Pandas, Sci-kit Learn, Seaborn. Experience working with data technology and topics such as Tableau, PowerBI, Excel, Natural Language Processing, and Reinforcement Learning. Relevant certifications in Data. Preferred/Additional Skills: Familiarity with Generative AI tools like ChatGPT, Claude, or similar for content creation and enhancement. Training delivery experience (live/ virtual/ hybrid formats) is an added advantage. Understanding of instructional design models such as ADDIE, SAM, or Bloom’s Taxonomy. Experience in analyzing learner feedback and improving content based on performance and engagement data.

Python Developer Location: Bengaluru, Karnataka, India Experience Level: 3–5 Years Employment Type: Full-Time Role Overview We are seeking a skilled Python Developer with a strong background in data manipulation and analysis using NumPy and Pandas, coupled with proficiency in SQL. The ideal candidate will have experience in building and optimizing data pipelines, ensuring efficient data processing and integration. Key Responsibilities Develop and maintain robust data pipelines and ETL processes using Python, NumPy, and Pandas. Write efficient SQL queries for data extraction, transformation, and loading. Collaborate with cross-functional teams to understand data requirements and deliver solutions. Implement data validation and quality checks to ensure data integrity. Optimize existing codebases for performance and scalability. Document processes and maintain clear records of data workflows. Required Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field. 2–5 years of professional experience in Python development. Proficiency in NumPy and Pandas for data manipulation and analysis. Strong command of SQL and experience with relational databases like MySQL, PostgreSQL, or SQL Server. Familiarity with version control systems, particularly Git. Experience with data visualization tools and libraries is a plus. Preferred Skills Experience with data visualization libraries such as Matplotlib or Seaborn. Familiarity with cloud platforms like AWS, Azure, or GCP. Knowledge of big data tools and frameworks like Spark or Hadoop. Understanding of machine learning concepts and libraries. Why Join Enterprise Minds Enterprise Minds is a forward-thinking technology consulting firm dedicated to delivering next-generation solutions. By joining our team, you'll work on impactful projects, collaborate with industry experts, and contribute to innovative solutions that drive business transformation.

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Communications & Media - AI & Data Architectures Title :- Ind & Func AI Value Strategy Manager Job location :- Bangalore, Hyderabad About S&C - Global Network:- Accenture Strategy & Consulting Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S 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. Youll work with Accenture's highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests. You'll 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 organizations 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 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. Qualifications Who we are looking for? Bachelors or advanced degree in Computer Science, Data Science, or a related field. Over 12 years of hands-on experience in machine learning, with a focus on architecting end-to-end solutions. Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps. Demonstrable hands-on experience in designing & flawlessly operationalizing the Machine learning system on a cloud and / or an On-Prem platform. Extensive experience in implementing Generative AI solutions, including incubation, design, and deployment. Strong proficiency in deep learning frameworks such as TensorFlow and PyTorch. In-depth 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 API , Integration architecture , microservices If you are a visionary Machine Learning Architect with a passion for advancing ML maturity, implementing cutting-edge Gen AI solutions, and driving innovation, we invite you to apply and contribute to our organizations success. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

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

Responsibilities: 1. Data Mining & Predictive Analytics Analyze large-scale healthcare datasets, including EHRs, claims data, and operational databases. Apply machine learning algorithms and statistical methods to identify trends, anomalies, and patterns related to patient outcomes and healthcare delivery. Develop predictive models to forecast health risks and treatment responses for proactive care planning. Use tools such as Python (Pandas, NumPy, Scikit-learn, TensorFlow) , SQL , Hadoop , Spark , and NoSQL databases . 2. Data Slicing, Dicing & OLAP Analysis Perform data segmentation based on demographics, conditions, or treatment histories to support targeted analysis. Conduct OLAP operations like drill-down, slicing and dicing to explore multi-dimensional views of healthcare data. Utilize tools such as SQL , Excel , Power BI , Tableau , and Python libraries ( Matplotlib , Seaborn ). 3. Data Visualization & Reporting Create intuitive dashboards and reports that communicate KPIs, patient outcomes, and performance metrics to various stakeholders. Design and develop visual representations (bar charts, heatmaps, flow diagrams) to make complex data accessible and actionable. Ensure clarity, accuracy, and transparency in all visual communications using tools like Power BI , Tableau , D3.js , Matplotlib , and Seaborn . Example Datasets Youll Work With: Clinical Data : EHRs, medication records, patient history. Operational Data : Facility management, staff allocation. Financial Data : Insurance claims, billing, cost metrics. Outcome Data : Patient satisfaction, readmission rates, treatment efficacy. Qualifications: Bachelors or Masters in Computer Science, Data Science, Health Informatics, Biostatistics, or a related field. 3–6 years of experience in healthcare data analytics or a related domain. Proficiency in SQL, Python, and data visualization platforms (Power BI, Tableau). Experience working with large healthcare datasets and machine learning models. Strong understanding of healthcare operations and data privacy standards (e.g., HIPAA).

#ONSITE We are looking for a highly experienced NLP Analyst with deep expertise in linguistic data analysis, annotation design, and production-scale NLP model evaluation. This role requires a blend of linguistic acumen, analytical rigor, and real-world application experience. You will drive the design and execution of NLP initiatives across diverse domains and guide cross-functional teams on best practices in language data handling and annotation quality. Key Responsibilities Manage large-scale text annotation and labeling pipelines for supervised and semi-supervised learning. Conduct advanced linguistic analysis of unstructured content (e.g., clinical notes, legal contracts, customer communications, claim documents) to identify patterns, gaps, and modeling opportunities. Define and enforce annotation schemas and QA protocols for complex NLP tasks (e.g., NER, relation extraction, coreference resolution, sentiment/intent classification). Evaluate and improve the performance of NLP models through rigorous error analysis and metric-driven feedback loops. Collaborate with ML/NLP engineers, data scientists, and domain experts to build robust NLP pipelines that scale across use cases. Lead internal research efforts on emerging NLP methodologies, including LLM prompt engineering, hybrid rule-learning approaches, and few-shot learning. Provide mentorship to junior analysts and contribute to developing internal NLP knowledge repositories and annotation standards. Required Qualifications Master’s in computational Linguistics, NLP, Data Science, Computer Science, or a related field. 5+ years of professional experience in NLP, with a strong track record of hands-on work in data annotation, language model evaluation, and NLP pipeline development. Expertise in Python and key NLP libraries (spaCy, NLTK, Scikit-learn, Hugging Face Transformers, etc.). Advanced proficiency in building and managing annotation workflows using tools like Prodigy, doccano, Brat, or in-house platforms. Deep understanding of linguistic structures (syntax, semantics, pragmatics) and their application to real-world NLP challenges. Experience evaluating ML/NLP models using metrics like F1, ROUGE, BLEU, precision/recall, and embedding-based similarity. Solid grasp of vectorization methods (TF-IDF, embeddings, transformer-based encodings) and modern language models (e.g., BERT, GPT, LLaMA). Preferred Qualifications Experience with domain-specific NLP (e.g., clinical/biomedical, legal, fintech). Knowledge of knowledge graph construction, relation extraction, and entity linking. Experience integrating structured/unstructured data for downstream AI/ML applications. Familiarity with prompt engineering for LLMs and tuning foundation models. Strong data querying and visualization skills (SQL, pandas, seaborn, Power BI/Tableau). Perficient is always looking for the best and brightest talent and we need you! We’re a quickly-growing, global digital consulting leader, and we’re transforming the world’s largest enterprises and biggest brands. You’ll work with the latest technologies, expand your skills, and become a part of our global community of talented, diverse, and knowledgeable colleagues.

Role & responsibilities Strong knowledge of Probability Theory, Statistics, and a deep understanding of the Mathematics behind Machine Learning Proficiency with CRISP-ML(Q) or TDSP methodologies for addressing commercial problems through data science solutions Proficiency in Python for developing machine learning models and conducting statistical analyses Strong understanding of data visualization tools and techniques (e.g., Python libraries such as Matplotlib, Seaborn, Plotly, etc.) and the ability to present data effectively Specific technical requirements: Proficiency in SQL for data processing, data manipulation, sampling, and reporting Experience working with imbalanced datasets and applying appropriate techniques Experience with time series data, including preprocessing, feature engineering, and forecasting Experience with outlier detection and anomaly detection Experience working with various data types: text, image, and video data Familiarity with AI/ML cloud implementations (AWS, Azure, GCP) and cloud-based AI/ML services (e.g., Amazon SageMaker, Azure ML) Domain experience: Experience with analyzing medical signals and images Expertise in building predictive models for patient outcomes, disease progression, readmissions, and population health risks Experience in extracting insights from clinical notes, medical literature, and patient-reported data using NLP and text mining techniques Familiarity with survival or time-to-event analysis Expertise in designing and analyzing data from clinical trials or research studies Experience in identifying causal relationships between treatments and outcomes, such as propensity score matching or instrumental variable techniques Understanding of healthcare regulations and standards like HIPAA, GDPR (for healthcare data), and FDA regulations for medical devices and AI in healthcare Expertise in handling sensitive healthcare data in a secure, compliant way, understanding the complexities of patient consent, de-identification, and data sharing Familiarity with decentralized data models such as federated learning to build models without transferring patient data across institutions Knowledge of interoperability standards such as HL7, SNOMED, FHIR, or DICOM Ability to work with clinicians, researchers, health administrators, and policy makers to understand problems and translate data into actionable healthcare insights Preferred candidate profile Experience with MLOps, including integration of machine learning pipelines into production environments, Docker, and containerization/orchestration (e.g., Kubernetes) Experience in deep learning development using TensorFlow or PyTorch libraries Experience with Large Language Models (LLMs) and Generative AI applications Advanced SQL proficiency, with experience in MS SQL Server or PostgreSQL Familiarity with platforms like Databricks and Snowflake for data engineering and analytics Experience working with Big Data technologies (e.g., Hadoop, Apache Spark) Familiarity with NoSQL databases (e.g., columnar or graph databases like Cassandra, Neo4j)

What you'll be doing Lead development of advanced machine learning and statistical models Design scalable data pipelines using PySpark Perform data transformation and exploratory analysis using Pandas, Numpy and SQL Build, train and fine tune machine learning and deep learning models using TensorFlow and PyTorch Mentor junior engineers and lead code reviews, best practices and documentation. Designing and implementing big data, streaming AI/ML training and prediction pipelines. Translate complex business problems into data driven solutions. Promote best practices in data science, and model governance . Stay ahead with evolving technologies and guide strategic data initiatives. What we're looking for You'll need to have: Bachelor's degree or four or more years of work experience. Experience in Python, PySpark and SQL. Strong proficiency in Pandas, Numpy, Excel, Plotly, Matplotlib, Seaborn, ETL, AWS and Sagemaker Experience in Supervised learning models: Regression, Classification and Unsupervised learning models: Anomaly detection, clustering. Extensive experience with AWS analytics services, including Redshift, Glue, Athena, Lambda, and Kinesis. Knowledge in Deep Learning Autoencoders, CNN. RNN, LSTM, hybrid models Experience in Model evaluation, cross validation, hyper parameters tuning Familiarity with data visualization tools and techniques. Even better if you have one or more of the following: Experience with machine learning and statistical analysis. Experience in Hypothesis testing. Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.

Responsibilities: - Interpret data, analyze results using statistical techniques, and provide ongoing reports. - Develop and implement reporting infrastructure, interactive dashboards, and other analytical tools to provide insight into the data. - Acquire data from primary or secondary data sources and highlight any issues in the existing databases/data systems. - Identify, analyze, and interpret trends or patterns in complex data sets. - Develop regression and forecasting models using historical data to predict the future performance of the portfolio. - Work with management to prioritize business and information needs. - Locate and define new process improvement opportunities. Requirements : - Bachelor's or Master's degree in statistics/mathematics/engineering. - 2+ years of experience as a Data Analyst or Business Data Analyst. - Technical Expertise in data models, database design, development, data mining, and segmentation techniques. - Strong knowledge of and experience with Excel, SQL, Python, and dashboarding tools such as Metabase, Tableau, etc. - Develop regression and forecasting models using historical data to predict the future performance of the portfolio. - Knowledge of statistics and experience using statistical packages for analyzing and visualizing datasets (Pandas, NumPy, sci-kit-learn, Seaborn). - Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. - Keen interest in solving problems using data and providing a new perspective to stakeholders.

Collect, analyze, and visualize data to uncover insights and guide business decisions. Use SQL and analytical tools to identify trends, create reports, and collaborate with teams to drive data-informed strategies.

Must have skills required : Machine Learning, Data Visualization, Model evaluation, coding skills, Statistical Data Analysis Good to have skills :LLMs We are looking for a Data Scientist 2 to join our Bangalore team and work on problems in areas like product matching, product tagging, etc. Roles and responsibilities: Understand the business problem and provide data science solutions. Carry out proof of concept for data science problems. Collaborate with product and engineering teams to build data science solutions ( end to end ) Do exploratory data analysis to support existing and future data science projects. Build dashboards to monitor the data science project's performance and communicate the metrics to the business team. Preferred Qualifications: Work Experience : 3+ Years of data science experience Machine Learning Knowledge: Well versed with machine learning concepts and have built ML projects end to end. Understanding of mathematical concepts behind ML models. Statistical Data Analysis: Proficiency in applying statistical techniques to analyze data and generate useful business insights. Data Visualization: Skill in creating meaningful visualizations of complex data sets using tools like Tableau, PowerBI, or Python libraries (e.g., Matplotlib, Seaborn). Model Evaluation and Tuning: Knowledge of techniques for evaluating and improving the performance of machine learning models. Coding Skills: Strong coding skills in Python. Able to write modular and reusable code. Good to have experience of using LLMs for data science solutions .

Role Python Developer Location Bangalore Experience4 - 7 Yrs Employment Type Full Time, Working mode Regular Notice Period Immediate - 15 Days About the Role : We are seeking a skilled Python Developer to join our dynamic team and contribute to the development of innovative data-driven solutions. The ideal candidate will have a strong foundation in Python programming, data analysis, and data processing techniques. This role will involve working with various data sources, including Redis, MongoDB, SQL, and Linux, to extract, transform, and analyze data for valuable insights. You will also be responsible for developing and maintaining efficient and scalable data pipelines and visualizations using tools like matplotlib and seaborn. Additionally, experience with web development frameworks such as Flask, FastAPI, or Django, as well as microservices architecture, will be a significant advantage. Key Responsibilities : - Design, develop, and maintain efficient and scalable data pipelines to extract, transform, and load (ETL) data from various sources, including Redis, MongoDB, SQL, and Linux. - Conduct in-depth data analysis and processing using Python libraries and tools to uncover valuable insights and trends. - Develop and maintain data visualizations using matplotlib, seaborn, or other relevant tools to effectively communicate findings to stakeholders. - Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. - Develop and maintain web applications using Python frameworks like Flask, FastAPI, or Django, adhering to best practices and coding standards. - Design and implement microservices architecture to build scalable and modular systems. - Troubleshoot and resolve technical issues related to data pipelines, applications, and infrastructure. - Stay updated with the latest trends and technologies in the data engineering and Python development landscape. Required Skills and Qualifications : - Strong proficiency in Python programming, including object-oriented programming and functional programming concepts. - Experience with data analysis and processing libraries such as pandas, NumPy, and scikit-learn. - Familiarity with data storage and retrieval technologies, including Redis, MongoDB, SQL, and Linux. - Knowledge of data visualization tools like matplotlib and seaborn. - Experience with web development frameworks such as Flask, FastAPI, or Django. - Understanding of microservices architecture and principles. - Excellent problem-solving and analytical skills. - Ability to work independently and as part of a team. - Strong communication and interpersonal skills. Preferred Skills and Qualifications : - Experience with cloud platforms (AWS, GCP, Azure). - Knowledge of containerization technologies (Docker, Kubernetes). - Familiarity with data warehousing and data lake concepts. - Experience with machine learning and deep learning frameworks (TensorFlow, PyTorch). Apply Insights Follow-up Save this job for future reference Did you find something suspiciousReport Here! Hide This Job Click here to hide this job for you. You can also choose to hide all the jobs from the recruiter.

Responsibilities : - Gather data from various sources (databases, spreadsheets, APIs, etc. - Identify, clean, and transform data to ensure accuracy, consistency, and integrity. - Develop and maintain data pipelines and processes for efficient data handling. - Conduct exploratory data analysis to identify trends, patterns, correlations, and anomalies. - Apply statistical techniques and data visualization tools to analyze datasets. - Interpret data and provide meaningful insights and recommendations. - Develop and maintain reports, dashboards, and other data visualizations to communicate findings effectively. - Work closely with stakeholders from different departments to understand their data needs and business questions. - Present data findings and insights in a clear and concise manner to both technical and non-technical audiences. - Participate in discussions and contribute to data-driven decision-making processes. - Document data sources, methodologies, and analysis processes. - Utilize data analysis tools and software such as Excel, SQL, and data visualization platforms (i.e. Tableau, Power BI). - Learn and adapt to new data analysis tools and technologies as needed. - May involve basic scripting or programming for data manipulation (i.e. Python). - Identify opportunities to improve data collection, analysis, and reporting processes. - Stay updated on the latest trends and best practices in data analysis. - Contribute to the development of data governance and quality standards. Qualifications - Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline. - 1-3 years of professional experience in a data analysis role. - Strong understanding of statistical concepts and data analysis techniques. - Proficiency in SQL for querying and manipulating data from databases. - Excellent skills in Microsoft Excel, including advanced formulas and data manipulation techniques. - Experience with at least one data visualization tool such as Tableau, Power BI, or similar. - Ability to interpret data, identify patterns, and draw meaningful conclusions. - Strong analytical and problem-solving skills. - Excellent communication and presentation skills, with the ability to explain technical findings to non-technical audiences. - Strong attention to detail and a commitment to data accuracy. - Ability to work independently and as part of a team. Preferred Skills - Experience with programming languages such as Python (especially libraries like Pandas, NumPy, Matplotlib, Seaborn). - Familiarity with cloud-based data platforms (i.e., AWS, Azure, GCP). - Experience with data warehousing concepts. - Knowledge of statistical software packages (i.e., R, SPSS). - Experience with different data modeling techniques. - Exposure to machine learning concepts. - Experience working with specific industry data (i.e., marketing, sales, finance) Apply Insights Follow-up Save this job for future reference Did you find something suspiciousReport Here! Hide This Job Click here to hide this job for you. You can also choose to hide all the jobs from the recruiter.

We are looking for a skilled Data Analyst with 3 to 6 years of experience to join our team in Bengaluru. The ideal candidate will be responsible for transforming data into actionable insights and supporting decision-making in a global organization focused on pricing and commercial strategy. ### Roles and Responsibility Analyze and interpret structured and unstructured data using statistical and quantitative methods to generate actionable insights and ongoing reports. Design and implement data pipelines and processes for data cleaning, transformation, modeling, and visualization using tools such as Power BI, SQL, and Python. Collaborate with stakeholders to define requirements, prioritize business needs, and translate problems into analytical solutions. Develop, maintain, and enhance scalable analytics solutions and dashboards that support pricing strategy and commercial decision-making. Identify opportunities for process improvement and operational efficiency through data-driven recommendations. Communicate complex findings clearly and concisely to both technical and non-technical audiences. ### Job Requirements Proven experience as a data analyst, business analyst, data engineer, or similar role. Strong analytical skills with the ability to collect, organize, analyze, and present large datasets accurately. Foundational knowledge of statistics, including concepts like distributions, variance, and correlation. Skilled in documenting processes and presenting findings to both technical and non-technical audiences. Hands-on experience with Power BI for designing, developing, and maintaining analytics solutions. Proficient in both Python and SQL, with strong programming and scripting skills. Skilled in using Pandas, T-SQL, and Power Query M for querying, transforming, and cleaning data. Hands-on experience in data modeling for both transactional (OLTP) and analytical (OLAP) database systems. Strong visualization skills using Power BI and Python libraries such as Matplotlib and Seaborn. Experience with defining and designing KPIs and aligning data insights with business goals. A bachelor’s degree in a STEM field relevant to data analysis, data engineering, or data science is required. 3–6 years of experience in data analysis, data engineering, or a closely related field, ideally within a professional services environment. ### Additional Info The company offers a dynamic work environment and opportunities for growth and development.

We are looking for a highly skilled and experienced professional with 3 to 6 years of experience to join our team as an Analyst in the TAX-TAX-Other department, located in Bangalore. The ideal candidate will have a strong background in tax and transaction services. ### Roles and Responsibility Develop complex, consumer-facing desktop and web applications using Excel automation with Python. Utilize Pandas, Numpy, Tkinter, FlaskAPI, SQL, xLwriter, ModinPandas, Sklearn, Pyodbc, Pymongo, and matplotlib/seaborn libraries for data re-engineering, wrangling, and manipulation in Excel. Design window interfaces using tkinter/Pyautogui and automate email processes using Python. Collaborate with cross-functional teams to provide services across multiple client departments while adhering to commercial and legal requirements. Deliver insightful and practical solutions to complex problems with a practical approach. Work on big-data equivalent datasets and leverage machine learning models/training/plotting techniques. ### Job Requirements Minimum 3 years of experience in developing complex, consumer-facing desktop and web applications using Excel automation with Python. Strong knowledge of Pandas, Numpy, Tkinter, FlaskAPI, SQL, xLwriter, ModinPandas, Sklearn, Pyodbc, Pymongo, and matplotlib/seaborn libraries. Experience with Web Scraping and Selenium automation using Python. Ability to work collaboratively to provide services across multiple client departments. Practical approach to solving issues and complex problems. Exposure to Machine Learning Models/Training/Plotting is an added advantage. Qualification: Engineering, MCA, or equivalent.

Strong programming skills in Python or R, with good knowledge in data manipulation, analysis, and visualization libraries (pandas, numpy, matplotlib, seaborn) Knowledge of machine learning techniques algorithms. FMCG industry will be preferable. Required Candidate profile Hands-on knowledge on machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Proficiency in SQL for data extraction, integration, and manipulation to analyze large datasets. Perks and benefits To be disclosed post interview

- Python, R, or Java - machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) - Tableau, Power BI, Matplotlib, Seaborn - big data technologies (e.g., Hadoop, Spark) & cloud platforms (e.g., AWS, Azure, GCP) - SQL and NoSQL databases

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities:-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.-Optimizing existing generative AI models for improved performance, scalability, and efficiency.-Ensure data quality and accuracy-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers-Experience working with cloud based platforms (example:AWS, Azure or related)-Strong problem-solving and analytical skills-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI-Prior statistical modelling experience-Demonstrable experience with deep learning algorithms and neural networks-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.-Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills:-Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.-Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.-Must have strong knowledge of data structures, algorithms, and software engineering principles.-Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.-Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.-Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.-Need to have knowledge of software development methodologies, such as Agile or Scrum.-Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information:-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Qualifications 15 years full time education

Job Title - Retail Specialized Data Scientist Level 9 SnC GN Data & AI Management Level:09 - Consultant Location:Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata Must have skills: A solid understanding of retail industry dynamics, including key performance indicators (KPIs) such as sales trends, customer segmentation, inventory turnover, and promotions. Strong ability to communicate complex data insights to non-technical stakeholders, including senior management, marketing, and operational teams. Meticulous in ensuring data quality, accuracy, and consistency when handling large, complex datasets. Gather and clean data from various retail sources, such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns. Strong proficiency in Python for data manipulation, statistical analysis, and machine learning (libraries like Pandas, NumPy, Scikit-learn). Expertise in supervised and unsupervised learning algorithms Use advanced analytics to optimize pricing strategies based on market demand, competitor pricing, and customer price sensitivity. Good to have skills: Familiarity with big data processing platforms like Apache Spark, Hadoop, or cloud-based platforms such as AWS or Google Cloud for large-scale data processing. Experience with ETL (Extract, Transform, Load) processes and tools like Apache Airflow to automate data workflows. Familiarity with designing scalable and efficient data pipelines and architecture. Experience with tools like Tableau, Power BI, Matplotlib, and Seaborn to create meaningful visualizations that present data insights clearly. Job Summary :The Retail Specialized Data Scientist will play a pivotal role in utilizing advanced analytics, machine learning, and statistical modeling techniques to help our retail business make data-driven decisions. This individual will work closely with teams across marketing, product management, supply chain, and customer insights to drive business strategies and innovations. The ideal candidate should have experience in retail analytics and the ability to translate data into actionable insights. 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. Gather and clean data from various retail sources, such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns. Apply machine learning algorithms, such as classification, clustering, regression, and deep learning, to enhance predictive models. Use AI-driven techniques for personalization, demand forecasting, and fraud detection. Use advanced statistical methods help optimize existing use cases and build new products to serve new challenges and use cases. Stay updated on the latest trends in data science and retail technology. Collaborate with executives, product managers, and marketing teams to translate insights into business actions. Professional & Technical Skills : Strong analytical and statistical skills. Expertise in machine learning and AI. Experience with retail-specific datasets and KPIs. Proficiency in data visualization and reporting tools. Ability to work with large datasets and complex data structures. Strong communication skills to interact with both technical and non-technical stakeholders. A solid understanding of the retail business and consumer behavior. Programming Languages:Python, R, SQL, Scala Data Analysis Tools:Pandas, NumPy, Scikit-learn, TensorFlow, Keras Visualization Tools:Tableau, Power BI, Matplotlib, Seaborn Big Data Technologies:Hadoop, Spark, AWS, Google Cloud Databases:SQL, NoSQL (MongoDB, Cassandra)

About The Role : In Scope of Position based Promotions (INTERNAL only) Job TitleCapital & Liquidity Management Analyst LocationMumbai, India Corporate TitleAnalyst Role Description Group Capital Management plays a central role in the execution of DBs strategy. While Group Capital Management manages DB Groups solvency ratios (CET 1, T1, Total capital ratio, leverage ratio, MREL/TLAC ratios, ECA ratio) together with business divisions and other infrastructure functions, EMEA Treasury manages in addition to the solvency ratios of DBs EMEA entities also the liquidity ratios and Treasury Pool activities. Thereby, EMEA Treasury links into DB Groups strategy and manages execution on a local level. Treasury Treasury at Deutsche Bank is responsible for the sourcing, management and optimization of liquidity and capital to deliver high value risk management decisions. This is underpinned by a best-in-class integrated and consistent Treasury risk framework, which enables Treasury to clearly identify the Banks resource demands, transparently set incentives by allocating resource costs to businesses and manage to evolving regulation. Treasurys fiduciary mandate, which encompasses the Banks funding pools, Asset and liability management (ALM) and fiduciary buffer management, supports businesses in delivering their strategic targets at global and local level. Further Treasury manages the optimization of all financial resources through all lenses to implement the groups strategic objective and maximize long term return on average tangible shareholders equity (RoTE). The current role is part of the Treasury Office in DBC Mumbai. The role requires interactions with all key hubs i.e. London, New York, Frankfurt and Singapore. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities The core deliverables for this role are Write code and implement solution based on specifications. Update, design and implement changes to existing software architecture. Build complex enhancements and resolve bugs. Build and execute unit tests and unit plans. Implementation tasks are varied and complex needing independent judgment. Build a technology solution which is sustainable, repeatable, agile. Align with business and gain understanding of different treasury functions. Your skills and experience Must have core capabilities of strong development experience in Python and Oracle based application Strong in Algorithm, Data Structures and SQL Some experience with Integration/build/testing tools Good to have working knowledge of visualization libraries like plotly, matplotlib, seaborn etc. Exposure to webservice, webserver/application server-based development would be added advantage but not mandatory A basic understanding of Balance sheet and Treasury concepts is desirable but not mandatory Effective organizational and interpersonal skills Self-starting willingness to get things done A highly motivated team player with strong technical background and good communication skills Urgency Prioritize based on need of hour An aptitude to learn new tools and technologies Engineering graduate / BS or MS degree or equivalent experience relevant to functional area 3 + years software engineering or related experience is a must How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps / friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL / PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques / tools and Process Mining / Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.)- Nice to have Strong communicationand presentation skills. Understanding of business processes.

About the job: Key responsibilities: 1. Assist in designing, training, and fine-tuning deep learning models using TensorFlow or PyTorch 2. Collect, preprocess, and analyze datasets for training and testing purposes 3. Conduct experiments to test model accuracy, loss functions, and performance optimization 4. Help build and improve models like CNNs, RNNs, and Transformer-based architectures 5. Visualize training results and evaluate models using metrics like accuracy, precision, recall, etc. 6. Stay updated with recent research papers and integrate useful techniques in ongoing projects 7. Collaborate with AI engineers and full-stack developers to integrate models into the main application 8. Debug code, fix model errors, and document the training process clearly 9. Maintain proper logs, version control (Git), and experiment tracking Who can apply: Only those candidates can apply who: have minimum 1 years of experience are Computer Science Engineering students Salary: ₹ 5,00,000 /year Experience: 1 year(s) Deadline: 2025-06-04 23:59:59 Skills required: Java, Python, TensorFlow, PyTorch, RNN (Recurrent Neural Network), CNN (Convolutional Neural Network), LSTM (Long Short-Term Memory), NumPy, Pandas, Matplotlib and Seaborn About Company: Kalex Management Services Pvt. Ltd. - Medium Sign in Get started Ltd. At Kalex we deliver premium tech solutions uniquely designed for each of our clients. Whether you are a business who is in search of B2B enterprise solutions or a customer who is seeking best in class tech services, look no further than AppSquadz, one stop solution to all your tech questions, needs and queries or even a company looking for top BPO services, we are the way!

Role & Responsibilities: • Work with both structured and unstructured data to extract meaningful insights. • Assist in developing and implementing machine learning and deep learning models. • Perform data cleaning, preprocessing, and feature engineering under guidance. • Use Python libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and others. • Help in optimizing model performance and evaluating results using basic statistical metrics. • Contribute to data visualization using tools like Matplotlib, Seaborn, or Power BI. • Explore concepts in natural language processing (NLP) and image processing. • Collaborate with team members to solve problems and share findings. • Participate in discussions to enhance communication and teamwork skills. Requirements: • Basic understanding of Python programming and popular libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn). • Familiarity with data visualization tools and techniques. • Introductory knowledge of large language models and AI concepts is a plus. • Strong analytical thinking and problem-solving abilities. • Eagerness to learn, contribute, and grow in a collaborative environment. • Good communication skills and a proactive attitude.

Role & responsibilities Design, develop, and deliver training sessions on AI, Machine Learning, Deep Learning, and Data Science topics. Conduct both theoretical and practical sessions with hands-on project implementation. Create and update course materials, case studies, and exercises in line with current industry trends. Assess learners progress through assignments, projects, and tests, and provide constructive feedback. Guide students on building real-world AI & Data Science projects. Stay updated with emerging tools, technologies, and best practices in AI and Data Science. Preferred candidate profile Strong knowledge in Python programming, Data Analysis, and Data Visualization (Pandas, NumPy, Matplotlib, Seaborn). Hands-on expertise in Machine Learning (Scikit-learn), Deep Learning (TensorFlow, Keras, or PyTorch). Experience with data preprocessing, feature engineering, model training, and deployment. Familiarity with Big Data tools (Spark, Dask) and SQL (optional but preferred). Proficient in developing innovative teaching strategies to enhance student learning outcomes. Good communication and presentation skills to deliver concepts clearly to learners. Prior experience in training, mentoring, or teaching will be an added advantage. Eligibility Bachelors/Masters degree in Computer Science, Data Science, AI, or a related field. 2+ years of relevant industry or academic experience in AI & Data Science.