287 Seaborn Jobs - Page 12

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

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

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 Senior Data Scientist+Instructor 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 4-12 years of 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: 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!

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

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

Data Scientist - GenAI Applications Position Overview We are seeking an experienced Data Scientist with 6+ years of experience to join our GenAI Applications team. This role leverages core data science expertisestatistical modeling, machine learning, and data analysis—to enhance and optimize generative AI solutions. The ideal candidate will bring strong foundational data science skills and apply them to the emerging field of generative AI. Key Responsibilities Statistical Analysis & Machine Learning Conduct statistical analysis and hypothesis testing to validate model performance and business impact Build and optimize traditional machine learning models (regression, classification, clustering, time series, etc.) Perform feature engineering, selection, and dimensionality reduction techniques Design and execute A/B tests and controlled experiments to measure model effectiveness Develop predictive models and recommendation systems to support business decision-making Data Analysis & Insights Analyze large, complex datasets to extract actionable insights and identify patterns Create comprehensive data visualizations and dashboards to communicate findings to stakeholders Perform exploratory data analysis (EDA) to understand data distributions, correlations, and anomalies Conduct cohort analysis, funnel analysis, and other business intelligence techniques Develop KPIs and metrics frameworks to measure success of AI initiatives GenAI Model Development & Implementation Apply data science methodologies to improve generative AI model performance and reliability Design experiments to evaluate and compare different generative AI approaches Implement fine-tuning strategies for pre-trained models using statistical optimization techniques Develop RAG (Retrieval-Augmented Generation) systems with focus on data quality and retrieval accuracy Create evaluation frameworks and metrics specifically for generative AI applications Research & Innovation Stay current with latest developments in generative AI, including emerging architectures and techniques Experiment with novel approaches to improve model performance, efficiency, and safety Collaborate with research teams to translate cutting-edge research into practical applications Evaluate and benchmark different model architectures and frameworks Cross-functional Collaboration Partner with product managers to translate business requirements into technical solutions Work closely with MLOps engineers to ensure scalable deployment and monitoring Collaborate with software engineers to integrate AI models into production applications Communicate complex technical concepts to stakeholders across various technical backgrounds Required Qualifications Technical Skills Bachelors, Master or Ph.D in Computer Science, Data Science, Statistics, Mathematics, or related field 6+ years of experience in data science with strong foundation in statistical methods and machine learning Expert proficiency in Python/R and data science libraries (pandas, numpy, scikit-learn, statsmodels, matplotlib, seaborn) Strong knowledge of statistical modeling, regression analysis, and experimental design Experience with SQL and database management for large-scale data analysis Proficiency in data visualization tools (Tableau, Power BI, or similar) Knowledge of machine learning frameworks (PyTorch, TensorFlow, XGBoost, LightGBM) Experience with cloud platforms (AWS, GCP, Azure) and distributed computing MLOps proficiency with tools like MLflow, Kubeflow, Docker, and CI/CD pipelines Familiarity with cloud ML platforms such as AWS SageMaker, Google Vertex AI, or Azure ML Strong understanding of data preprocessing, feature engineering, and model validation techniques GenAI & Advanced ML Hands-on experience applying data science techniques to natural language processing tasks Knowledge of deep learning architectures, particularly transformer models Experience with model evaluation metrics and statistical significance testing Understanding of bias detection, model interpretability, and responsible AI practices Familiarity with large language models and generative AI evaluation methodologies Soft Skills Strong analytical and problem-solving abilities Excellent communication skills with ability to explain complex technical concepts Experience working in agile development environments Self-motivated with ability to work independently and in team settings Preferred Qualifications Experience with advanced statistical methods (Bayesian analysis, causal inference, time series forecasting) Knowledge of optimization algorithms and mathematical programming Experience with multivariate testing and experimental design Background in natural language processing or computer vision from a data science perspective Experience with model compression and efficiency optimization techniques Experience leading data science projects and mentoring junior data scientists Data engineering experience including pipeline development, data preprocessing, and model deployment workflows

Role Description Function 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. Your key responsibilities The core deliverables for this role are Understand the business to devise both short term and long-term software solutions to improve efficiency and enhance capabilities. Plan and scope technology projects with a forward-looking approach to software architecture. Provide meaningful contribution to strategy, planning and be able to independently drive and deliver execution phases of strategic projects within Treasury. Collaborate with different teams within Treasury to identify the pain areas and propose solutions to address them. The successful candidate should take time to coach, mentor and develop other colleagues. Stay up to date with the latest technology improvements within Deutsche Bank and the wider technology industry to ensure quality of work remains high and the technology being built is cutting edge. Your skills and experience 7+ years experience as a self-sufficient software developer. Strong knowledge of Python/SQL is a must, Flask/Dash knowledge is a plus. Good to have working knowledge of visualization libraries like plotly, matplotlib, seaborn etc. Experience in any of the following technologies would be beneficial: Flask, Streamlit, Angular/React Flexibility and willingness to accepting new challenges; ability to work effectively and efficiently on multiple projects at a time in a dynamic and constantly evolving environment, while maintaining the highest standards and attention to detail. Outstanding communication skills and a great teammate. 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. 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.

Company - Leading Multinational Pharma Company Position- Data Scientist/Data Science Experience: 5 - 10 years CTC- Upto 20 LPA Notice Period - Immediate/15 days/1 Month Qualification: BE / B.Tech / M.Tech / Job Summary: We are looking for a skilled professional to lead and manage Data Science and Advanced Analytics projects across business verticals. The role requires hands-on expertise in Machine Learning (ML), Python, and data visualization, along with strong project and stakeholder management skills. Key Skills Required: Python, R, NumPy, Pandas, Matplotlib, Seaborn scikit-learn, Classification & Regression Models Decision Trees, Random Forest, Boosting Strong analytical, problem-solving, and project management abilities Kindly Share your Resumes on - recruitment@springhr.com

We are Hiring for below positions: Role Overview We are seeking a highly motivated and detail-oriented Data Analyst to support the development of a Clinical Decision Support System (CDSS). You will work closely with data engineers, clinicians, and AI/ML engineers to extract insights from hospital data and help shape intelligent clinical tools. AI/ML Engineer Location: Bangalore Type: Contract to Hire 12 Months Experience: 24 years Responsibilities: Build and train machine learning models using hospital data (EMR, HIS, LIS). Apply NLP, time-series analysis, and predictive modeling to clinical use cases. Collaborate with clinical experts to validate model outputs. Deploy models using Azure ML Studio and monitor performance. Requirements: Strong Python skills with scikit-learn, PyTorch/TensorFlow. Experience with healthcare datasets or clinical AI projects. Familiarity with Azure ML, Datalake, and data privacy best practices. Motivated to learn fast and make a real-world impact in healthcare. Data Engineer Healthcare Data Pipelines Location: Bangalore Type: Contract to Hire 12 Months Experience: 24 years Responsibilities: Design and maintain data pipelines from EMR, HIS, LIS, RIS, MRD apps. Clean, transform, and structure data for AI model consumption. Work with Azure Data Factory, SQL, and Python to manage the hospitals Datalake. Ensure data quality, security, and compliance with healthcare standards. Requirements: Experience with Azure Data Factory, SQL, Spark, Python. Knowledge of HL7/FHIR formats and healthcare data workflows. Strong problem-solving skills and eagerness to learn. Passionate about enabling better clinical decisions through data. Data Analyst Location: Bangalore Type: Contract to Hire 12 Months Experience: 24 years Responsibilities Analyze structured and unstructured data from EMR, HIS, LIS, RIS, MRD, and Doctors App. Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Collaborate with AI/ML engineers to prepare datasets for model training and validation. Create dashboards and visualizations to communicate findings to clinical and technical teams. Ensure data quality, consistency, and compliance with healthcare standards. Document data sources, transformations, and analytical workflows. Requirements Strong proficiency in SQL, Excel, and Python (Pandas, NumPy, Matplotlib/Seaborn). Experience with healthcare data or clinical analytics is a strong plus. Familiarity with Azure Data Explorer, Power BI, or similar tools. Understanding of HL7/FHIR formats and clinical terminologies is desirable. Excellent communication and documentation skills. Self-motivated, fast learner, and passionate about improving healthcare through data. Send your resume to sharathkumar.k@hcgel.com or WhatsApp 7676784313

Roles & Responsibilities Design and maintain efficient data pipelines and ETL processes using SQL and Python. Write optimized queries (T-SQL, PL/SQL) for data manipulation across multiple RDBMS. Use Python libraries for data processing, analysis, and visualization. Perform EOD (end-of-day) data aggregation and reporting based on business needs. Work on Azure Synapse Analytics for scalable data transformations. Monitor and manage database performance across Oracle, SQL Server, Synapse, and PostgreSQL. Collaborate with cross-functional teams to understand and translate reporting requirements. Ensure secure data handling and compliance with organizational data policies. Debug Unix-based scripts and automate batch jobs as needed. Qualifications Bachelors/Masters degree in Computer Science, IT, or related field. 5-8 years of hands-on experience in data engineering and analytics. Solid understanding of database architecture and performance tuning. Experience in end-of-day reporting setups and cloud-based analytics platforms.

Job role Job Requirements Personality traits To work on heavy data extraction, generation of reports, visualising data and putting analysis in discussed formatSQL & Advanced python knowledge with proven track record in python scripting using Numpy, pandas, seaborn, matplotlib, scikit learn etc Candidate must have excellent organizational skills, be level-headed, have good interpersonal skills Model building like classification, regression, recommendation systems etc SAS EG/Eminer knowledge is a plusNumerical skills - will need to acquire data and use it to target selected groups, as well as analyse the success or otherwise of campaigns The role holder will be responsible for data support, segmentation/scorecards, analytics and customer insights Past experience with deployment on cloud systems & API integration is preferredAt least 2-3 years of experience with data handling roles Must be excellent with Data visualisation He/ She should be comfortable working with heavy datasets and should have an analytical bent of mind Should have an active interest in data analysisHighly logical individuals with adaptable trait towards new technologiesAdhere to documented process and compliance requirements, assisting seniors on diversified projectsMotivated and determined candidate with a zeal to handle responsibilities and take initiativesStrong communication skills to effective interaction with business stakeholders

Conduct classroom training sessions, workshops, and hands-on labs to teach data science concepts and techniques. Provide guidance and mentorship to students throughout their learning journey.Proven experience as a Data Science trainer role. Required Candidate profile Technical Skills: • Proficiency in programming languages - Python, R, SQL. • data visualization tools- Tableau, Power BI, or similar. • Experience with machine learning framework- TensorFlow, PyTorch