5551 Data Science Jobs - Page 50

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and model evaluation techniques. - Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks. - Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction. - Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML. - Collaborate with cross-functional teams to integrate AI models into production systems. - Ensure scalability, performance, and efficiency of AI/ML solutions. - Stay updated with emerging AI trends and technologies to drive innovation. Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development. - Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models. - Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). - Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models). - Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models). - Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment. - Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc. -Familiarity with API development using Django, Flask, or FastAPI for AI solutions. - Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration. - Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications. - Hands-on experience in generative AI models.

Conducting classroom Training on programming skills Creating a positive and engaging learning environment A passion for teaching and helping students achieve their career goals Strong knowledge of SQL. Python, Data Science, ML, DL, NLP, Power Bi

Role Description As a Senior Data Science and Modeling Specialist at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description As a Software Engineer - Fullstack at Incedo, you will be responsible for developing and maintaining web applications using various front-end and back-end technologies. You will work with a team of developers and collaborate with stakeholders to deliver high-quality solutions. Your responsibilities will include designing, developing, and maintaining software applications, as well as troubleshooting and fixing issues. Roles & Responsibilities: Writing high quality code, participating in code reviews, designing systems of varying complexity and scope, and creating high quality documents substantiating the architecture. Engaging with clients, understanding their technical requirements, planning and liaising with other team members to develop technical design & approach to deliver end-to-end solutions. Technical Skills Skills Requirements: Experience in both front-end and back-end development Proficiency in at least one programming language such as Java, Python, or JavaScript Familiarity with front-end technologies such as HTML, CSS, and JavaScript frameworks like React or Angular Knowledge of back-end technologies such as databases, APIs, and server-side frameworks like Node.js or Spring Boot Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Nice-to-have skills Qualifications 3-5 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Technical Skills Experience building data transformation pipelines using DBT and SSIS Moderate programming experience with Python Moderate experience with AWS Glue Strong experience with SQL and ability to write efficient code and manage it through GIT repositories Nice-to-have skills Experience working with SSIS Experience working in a Wealth management industry Experience in agile development methodologies

Role Description Ensure license compliance in software products Enhance software license compliance and reporting for open source and 3rd party software Maintain and publish a software bill of materials for all product lines per software release Publish and maintain the open source software used required by license Survey and recommend license and security compliance tools Improve software development processes for compliance best practices Educate the development community regarding software compliance practices to improve awareness Automate software and security compliance and inventory reports Automate open-source software inventory and OSS vulnerability analysis report Identify and remediate security vulnerabilities based on OSS software packages to improve the security posture of the products and services Document processes and procedures Collaborate with the legal team to provide answers to customer or partner inquiries Interface with tools vendors and their support teams when issues arise Mentor and grow junior staff members Technical Skills Experience with License and OSS compliance reporting and publishing Familiar or experience with OpenChain standard and implementation Direct experience using a Software Composition Analysis (SCA) tools such as Blackduck or equivalent Experience with Linux, binary images, packages, containers, and source code repositories such as git Ability to read programming languages such as C/C++, Java, Python, Go Ability to automate license compliance reporting and integrate into CI/CD process. Work independently, drive improvements, meet schedules, impart good judgement, and exhibit strong writing skills Attention to detail and high-quality output Nice-to-have skills Qualifications BS Computer Science or Engineering + 10 years of experience MS Computer Science or Engineering + 8 years of experience

Role Description Develop, test, and deploy UI Path automation solutions based on business requirements. Monitor BOT performance and running status, ensuring smooth operations and minimizing downtime. Troubleshoot and resolve automation issues, errors, or failures efficiently. Engage directly with stakeholders to gather requirements, identify new automation opportunities, and suggest improvements. Work on enhancements, modifications, and bug fixes in existing RPA processes. Conduct regular performance analysis and optimization of automated workflows. Maintain proper documentation for automation processes, including workflow design, configurations, and troubleshooting steps. Collaborate with cross-functional teams to integrate RPA solutions with existing systems. Ensure compliance with security and governance policies while developing automation solutions. Technical Skills 3-5 years of hands-on experience in UI Path RPA development. Strong understanding of RPA lifecycle, best practices, and development methodologies. Experience in monitoring and troubleshooting BOTs for high availability and performance. Ability to interact directly with clients/stakeholders to gather requirements and discuss automation strategies. Good understanding of SQL databases (writing queries, extracting data, troubleshooting issues). Strong analytical and problem-solving skills to identify and resolve issues quickly. Experience in handling automation change requests, enhancements, and bug fixes. Ability to work independently and manage multiple priorities in a fast-paced environment. Excellent communication skills to explain technical concepts to non-technical stakeholders. UI Path certification (preferred but not mandatory). Nice-to-have skills Experience in integrating UI Path with third-party applications and APIs. Knowledge of Orchestrator and handling bot deployments. Understanding of basic scripting (Python, VB, or JavaScript) for automation extensions. Exposure to Cloud-based RPA deployments (AWS, Azure, or Google Cloud). Qualifications 3-5 years of hands-on experience in UI Path RPA development.

Role Description As a Senior Data Science and Modeling Specialist at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description As a Senior Cloud Data Platform (AWS) Specialist at Incedo, you will be responsible for designing, deploying and maintaining cloud-based data platforms on the AWS platform. You will work with data engineers, data scientists and business analysts to understand business requirements and design scalable, reliable and cost-effective solutions that meet those requirements. Roles & Responsibilities: Designing, developing and deploying cloud-based data platforms using Amazon Web Services (AWS) Integrating and processing large amounts of structured and unstructured data from various sources Implementing and optimizing ETL processes and data pipelines Developing and maintaining security and access controls Collaborating with other teams to ensure the consistency and integrity of data Troubleshooting and resolving data platform issues Technical Skills Skills Requirements: In-depth knowledge of AWS services and tools such as AWS Glue, AWS Redshift, and AWS Lambda Experience in building scalable and reliable data pipelines using AWS services, Apache Spark, and related big data technologies Familiarity with cloud-based infrastructure and deployment, specifically on AWS Strong knowledge of programming languages such as Python, Java, and SQL Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description Duties and Responsibilities: Wealth management Ops team, provides supports services for Investment data at manager / client level for a US based clients. Key responsibilities: Performance Reporting Collection of Managers statements from portal/Emails Daily work management and execution of performance reporting operations activities Measuring Performance of investments and asset classes Driving Process Improvements Providing timely updates to Team Lead and other stakeholders Preparing Investment Performance Datasets covering Asset Allocation, holdings and Portfolio Performance Producing quarterly Manager Commentaries/Updates which provide a structured and streamlined analytical view for the benchmarking of the portfolios Preparing portfolio performance report that includes evaluation of performance of individual investments and asset classes, comparing the same with benchmark and peer group and making recommendations on individual investments/managers Maintaining a point of contact between Incedo and the strategy's investment manager on behalf of the Client Updating the SOP and other process documents as per the changes in the process Technical Skills Technical Skills Requirement: University or College degree, preferably with a major in finance A proven interest in the financial markets and preferable in hedge fund / private equity/ alternative investments and portfolio services industry Intermediate level Microsoft Excel skill Strong aptitude for numbers and accuracy Exposure to Global Capital Markets and working knowledge of various Asset Classes and Investment Strategies Ability to meet deadlines Soft Skills Requirement: Good communication skills (written and verbal) with experience with US based support environment Good documentation skills Ability to work as part of a team and build strong working relationships with peers Demonstrate a structured and methodical approach Flexible and adaptable approach to problem solving Flexible and open to multiple shifts Nice-to-have skills Qualifications Qualifications: Commerce Graduate (BBA / Bcom) or Equivalent Pursuing CFA/ MBA finance preferred Experience: At least 1 year of experience in private equity and alternative investments. Experience in working with Fund/Investment Managers; international exposure will be preferred

Role Description As a Senior Cloud Data Platform (AWS) Specialist at Incedo, you will be responsible for designing, deploying and maintaining cloud-based data platforms on the AWS platform. You will work with data engineers, data scientists and business analysts to understand business requirements and design scalable, reliable and cost-effective solutions that meet those requirements. Roles & Responsibilities: Designing, developing and deploying cloud-based data platforms using Amazon Web Services (AWS) Integrating and processing large amounts of structured and unstructured data from various sources Implementing and optimizing ETL processes and data pipelines Developing and maintaining security and access controls Collaborating with other teams to ensure the consistency and integrity of data Troubleshooting and resolving data platform issues Technical Skills Skills Requirements: In-depth knowledge of AWS services and tools such as AWS Glue, AWS Redshift, and AWS Lambda Experience in building scalable and reliable data pipelines using AWS services, Apache Spark, and related big data technologies Familiarity with cloud-based infrastructure and deployment, specifically on AWS Strong knowledge of programming languages such as Python, Java, and SQL Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description As a Senior Software Engineer - ETL - Python at Incedo, you will be responsible for designing and developing ETL workflows to extract, transform, and load data from various sources to target systems. You will work with data analysts and architects to understand business requirements and translate them into technical solutions. You will be skilled in ETL tools such as Informatica or Talend and have experience in programming languages such as SQL or Python. You will be responsible for writing efficient and reliable code that is easy to maintain and troubleshoot. Roles & Responsibilities: Develop, maintain, and enhance software applications for Extract, Transform, and Load (ETL) processes Design and implement ETL solutions that are scalable, reliable, and maintainable Develop and maintain ETL code, scripts, and jobs, ensuring they are efficient, accurate, and meet business requirements Troubleshoot and debug ETL code, identifying and resolving issues in a timely manner Collaborate with cross-functional teams, including data analysts, business analysts, and project managers, to understand requirements and deliver solutions that meet business needs Design and implement data integration processes between various systems and data sources Optimize ETL processes to improve performance, scalability, and reliability Create and maintain technical documentation, including design documents, coding standards, and best practices. Technical Skills Skills Requirements: Proficiency in programming languages such as Python for writing ETL scripts. Knowledge of data transformation techniques such as filtering, aggregation, and joining. Familiarity with ETL frameworks such as Apache NiFi, Talend, or Informatica. Understanding of data profiling, data quality, and data validation techniques. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

We are hiring Data Science professionals to build predictive models, analyze large datasets, and deliver actionable insights that drive business decisions. Contact: 9717900793 honey@albireorecruiters.in

Were seeking a passionate Software Trainer to empower learners with practical, hands-on programming & technology skills. The candidate must have technical proficiency with strong communication and mentoring abilities to deliver trainings. Food allowance

The position based in Chennai requires an ML Engineer with 3 to 8 years of experience to design and implement AI/ML models using Python, TensorFlow, PyTorch, and Scikit-learn. The role involves optimizing models, running experiments, transforming data through classification and clustering techniques, and staying updated on the latest advancements in AI/ML technologies. The ideal candidate should possess over 3 years of experience in Software Design & Development in Python, demonstrating the ability to make pragmatic technical decisions beyond immediate scope. The candidate should excel in debugging complex issues and mentoring junior engineers, with a solid understanding of Data Structures and Object-Oriented Programming. Proficiency in Test-Driven Development (TDD), Unit & Integration testing, experience with Databases, Statistics, and Data Science, along with strong Python skills to write robust and testable code are essential. Moreover, the candidate should have hands-on experience with ML frameworks such as Keras, PyTorch, and Scikit-learn, and familiarity with AutoML would be a plus. Knowledge of AI Cloud platforms like H2O, DataRobot, AWS, and Azure is desirable. The candidate should hold a Bachelor's degree or higher in any discipline. Key skills required for the role include Python, AI/ML, Keras, PyTorch, Scikit-learn, H2O, DataRobot, AWS, Azure, FastAPI/Flask, and proficiency with databases like MySQL, Oracle, or PostgreSQL. Familiarity with XML and Unit Testing is also necessary. Candidates who are passionate about restarting their careers after a long break are encouraged to apply.,

You will be joining a data science internship program based in Ahmedabad, offering an opportunity for freshers to gain valuable experience in the field. As an intern, you will have the chance to work on projects involving data science, machine learning, and Python. Immediate hiring is available for those interested in joining, and you can also enroll in the summer program. During the internship, you will receive hands-on project experience to further develop your skills and knowledge in the field. Additionally, job placement opportunities will be offered to successful interns upon completion of the program. This is a day shift internship position, requiring candidates with at least a Higher Secondary (12th Pass) education background. The work location is in person, providing a conducive environment for learning and growth.,

The Data Chapter at our organization serves as a strategic partner, utilizing cutting-edge AI and ML technologies to drive data-led initiatives that help mitigate risk, generate revenue, and enhance operational efficiency. Our primary focus lies in ensuring data integrity and governance, delivering high-quality analysis, insights, and automation to facilitate data-driven decision-making throughout the organization. Through a collaborative approach, we provide timely and actionable solutions that align with the strategic objectives of the company. As a member of our team, your responsibilities will include developing and implementing advanced data science models and algorithms to derive business insights and support decision-making processes. You will collaborate with cross-functional teams to identify and address complex business challenges using statistical analysis and machine learning techniques. Additionally, you will be involved in conducting risk and business model analysis to evaluate the impact of data-driven initiatives on the organization. We encourage exploration and experimentation with emerging technologies like generative AI to enhance our data science capabilities and foster innovation. Problem-solving skills, both independently and as part of a team, are essential for success in this role. To qualify for this position, you should possess 2-6 years of experience in data science, machine learning, or a related field. Proficiency in statistical analysis, data mining, and the application of advanced analytical techniques is required. Hands-on experience in Python coding is a must, along with familiarity with cloud storage and computing. Proficiency in Excel is preferred. You should also have practical experience in developing and deploying data science models and algorithms, including those involving generative AI. Strong problem-solving and critical thinking skills are highly valued, as well as effective communication and collaboration abilities to work efficiently with cross-functional teams. If you are seeking a challenging opportunity where you can contribute your expertise and grow professionally, we invite you to apply now. We offer a competitive salary and benefits package, along with the opportunity to work in a dynamic environment that supports your development and recognizes your achievements.,

NTT DATA is seeking a Digital Engineering Lead Engineer to join the team in Pune, Mahrshtra (IN-MH), India. As a part of the team, you will exercise expertise in developing AI/ML applications focusing on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. You will apply statistical skills and advanced statistical techniques, demonstrating deep knowledge of ML frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. In this role, you will leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc. You should have deep knowledge in statistics, Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. Experience working with RAG technologies and LLM frameworks like Langchain and LlamaIndex, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases (FAISS, Milvus, etc.) is essential. Proficiency in programming languages such as Python and understanding of various Python packages is required. You will develop and implement GenAI solutions, collaborating with cross-functional teams to support the successful execution of AI projects for a diverse range of clients. Additionally, you will contribute to the development of frameworks, capabilities, and features for NTT DATA's global GenAI platform and TechHub. The ideal candidate should have a minimum of 2+ years of experience architecting high-impact GenAI solutions for diverse clients, preferably in Private AI and Smart Agentic Solutions. Furthermore, 5+ year(s) of experience participating in projects focusing on predictive analytics, data design, generative AI, AI/ML, and ML Ops is preferred. A minimum of 3 years of experience using Python is required, along with the ability to travel at least 25% and a Bachelor's Degree. NTT DATA is a trusted global innovator of business and technology services committed to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, NTT DATA has diverse experts in more than 50 countries, with services including business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. Join us on our journey to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com.,

As the primary technical point of contact and trusted advisor for assigned enterprise customers, you will be responsible for building and maintaining deep, strategic relationships with customer stakeholders, including technical teams and senior leadership. Your role will involve understanding customer-specific configurations, customizations, and integration patterns across their AppZen environments. You will collaborate cross-functionally with Engineering, Product Management, Professional Services, CSM, and Support to facilitate alignment between customer goals and AppZen's capabilities. Your insights from customer interactions will be crucial in shaping product improvements and roadmap decisions. Regular technical health reviews, system assessments, and operational check-ins will be conducted by you to ensure optimal platform performance. It will be your responsibility to review upcoming customer events and planned production activities to proactively identify and mitigate risks. Initiatives to improve customer productivity and long-term satisfaction will be driven by you, and you will act as the escalation point for technical incidents, coordinating resolution efforts across internal teams. Additionally, leading in-depth root cause analyses and implementing preventive measures to reduce recurring issues will be part of your role. You will also be expected to enhance support processes and ticket handling by driving internal quality improvements and knowledge-sharing initiatives. Promoting customer self-sufficiency through enabling teams to effectively use AppZen support tools, documentation, and best practices will be essential. Providing expert-level guidance on troubleshooting, integrations, and observability tools will also be a key aspect of your responsibilities. The ideal candidate for this position would have 3-5 years of experience in a TAM, Technical Support, or Solutions Engineering role within a SaaS or enterprise software company. Technical skills required include experience in Python, Go, or similar languages for debugging and automation, a strong knowledge of REST APIs and Postman, proficiency in AWS Console and tools like Kibana or OpenSearch, and an understanding of AI and Data Science concepts as they apply to enterprise solutions. Soft skills such as excellent verbal and written communication, problem-solving, and customer-facing engagement skills are essential. Strong analytical skills, organizational abilities, and an action-oriented mindset are desired traits. A bachelor's degree in Computer Science, Engineering, or a related technical field is preferred for this role.,

The Specialized Analytics Sr. Manager accomplishes results through the management of professional team(s) and department(s). You integrate subject matter and industry expertise within a defined area, contributing to standards around which others will operate. You require an in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function. Basic commercial awareness is necessary for this role. You must possess developed communication and diplomacy skills to guide, influence, and convince others, particularly colleagues in other areas and occasional external customers. You hold responsibility for the volume, quality, timeliness, and delivery of end results of an area. You may also be responsible for planning, budgeting, and policy formulation within your area of expertise. You are involved in short-term resource planning and have full management responsibility for a team, which may include management of people, budget and planning, performance evaluations, compensation, hiring, disciplinary actions, terminations, and budget approval. Responsibilities include working with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies. You identify and compile data sets using various tools (e.g. SQL, Access, Python) to predict, improve, and measure the success of key business outcomes. You are responsible for documenting data requirements, data collection/processing/cleaning, and exploratory data analysis, which may involve utilizing statistical models/algorithms and data visualization techniques. Incumbents in this role may often be referred to as Data Scientists with a good understanding and implementation of AI ML algorithms. Specialization in marketing, risk, digital, and AML fields is possible. You must appropriately assess risk when making business decisions, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets by ensuring compliance with applicable laws, rules, and regulations, adhering to Policy, applying sound ethical judgment, and effectively supervising the activity of others. Qualifications required for this role include 12-14 years of experience, financial/business analysis and/or credit/risk analysis capabilities with the ability to impact key business drivers through a disciplined analytic process, providing analytic thought leadership, effective project planning management, in-depth understanding of various financial service business models, expert knowledge of advanced statistical techniques, and creative problem-solving skills. Education: A Bachelor's/University degree is required, with a Master's degree preferred. This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.,

About the Company: Relay Human Cloud is a young and dynamic company that assists some of the top US-based companies in expanding their teams internationally. Relay operates globally with offices in the US, India, Honduras, and Mexico, with plans to expand to more countries in the near future. The primary focus of Relay is to facilitate the connection between companies and top international talent across various sectors. Relay specializes in providing support to clients in areas such as Accounting & Finance, Administration, Operations, Space Planning, Leasing, Data Science, Data Search, Machine Learning, and Artificial Intelligence. In India, Relay operates from offices located in Ahmedabad and Vadodara. Key Responsibilities: Estimating Duties: - Download bid invitations, plans, and specifications from BuildingConnected and other GC portals. - Establish and maintain a structured job folder system on the shared drive following company standards (01 BID, 02 Specs, 03 Addenda, etc.). - Set up projects in Accubid Anywhere and LiveCount. - Conduct detailed takeoffs for various systems including lighting systems, lighting controls, wiring devices, branch circuitry, fire alarm, nurse call, telecom/data, and grounding. - Perform LiveCount audits and resolve any discrepancies before project hand-off. - Interpret electrical, architectural, mechanical, plumbing, and life-safety drawings to identify routing, clearances, and coordination requirements. - Identify specification-driven needs such as conduit types, conductor materials, breaker AIC ratings, and cost drivers for estimators. Qualifications: - Minimum of 3 years of experience in electrical estimating or project support (consideration given to internships and entry-level roles). - Bachelor's degree in construction management, Engineering, or related field is preferred but not mandatory. - Strong organizational and communication skills. - Experience with Accubid Anywhere, Bluebeam, Procore, or similar platforms is advantageous.,

The position of Visualization & Interactions Science Consultant at S&C Global Network - AI - CG&S requires a skilled individual with a background in data visualization, human-computer interaction, and user experience design. As part of the team, you will be responsible for collaborating with CG&S clients and stakeholders to understand business requirements and translate them into impactful visualization and interaction design solutions. Your role will also involve providing consultation on visualization and interaction design principles, running codesign sessions, developing interactive data visualizations and dashboards, and conducting user research and usability testing to enhance the usability and effectiveness of visualization products. In this role, you will be expected to apply principles of data storytelling and narrative visualization to create compelling and informative data-driven stories. You will also be required to stay updated on emerging trends and best practices in data visualization, human-computer interaction, and user experience design, and share your insights with the team. Collaboration with data scientists, analysts, and engineers to integrate visualizations into data-driven applications and products is also a key aspect of the position. To excel in this role, you should possess relevant experience in the required domain, strong analytical and problem-solving skills, as well as effective communication skills. The ability to thrive in a fast-paced, dynamic environment is essential for success in this position. This opportunity offers the chance to work on innovative projects and provides avenues for career growth and leadership exposure. If you are passionate about leveraging data-driven insights to create impactful visualizations and interactive experiences for businesses, this role presents an exciting opportunity to contribute to strategic initiatives and business transformations with your expertise in visualization and interaction design.,

As an Associate Managing Consultant in Business Experimentation at Mastercard's Advisors & Consulting Services group, you will be part of a team that specializes in advising executives on business decisions using the industry-leading predictive analytics SaaS platform, Test & Learn. Your role will involve collaborating with customers to identify key priorities and designing and executing business experiments to determine the effectiveness of various ideas and their deployment strategies. Your responsibilities will include managing deliverable development and workstreams on projects spanning different industries and problem statements. You will contribute to the development of strategies and programs for regional and global clients by utilizing data science tools such as Test & Learn. Building and maintaining a strong working relationship with client managers will be crucial, as you act as a trusted partner and provide analytical and technical expertise to drive client success through Test & Learn adoption. In addition to client impact, you will play a key role in fostering team collaboration and a positive work culture. This involves developing sound business recommendations, delivering impactful client presentations, and organizing and structuring work for both yourself and junior project delivery consultants. Leading team and external meetings, managing project management tasks, and contributing to the firm's intellectual capital will also be part of your responsibilities. You will gradually transition from coaching to taking ownership of day-to-day project management across client projects and mentoring junior consultants. To excel in this role, you should hold an undergraduate degree with analytical experience in consulting, analytics, or data science. Strong analytical, interpretive, and problem-solving skills are essential, along with proficiency in analyzing large datasets and deriving key insights. Logical thinking, numerical analysis capabilities, and proficiency in Word, Excel, and PowerPoint are required. Effective communication skills in English and the local office language, if applicable, are necessary. You should also be eligible to work in the country where you are applying and be open to travel as required. Preferred qualifications include additional experience in data modeling, database management, data visualization tools, or time series analysis. Experience in managing tasks within collaborative teams, coaching junior consultants, and possessing industry expertise are advantageous. While an MBA or master's degree is not mandatory, it can be beneficial for this role. Given the nature of the work involving access to Mastercard assets, information, and networks, you are expected to abide by security policies, maintain confidentiality and integrity of information, report any security breaches, and undergo periodic security training as per Mastercard's guidelines.,

As a Talent Acquisition Executive/Lead at Saarthee, you will play a pivotal role in driving talent acquisition strategies to support the company's growth objectives. Your primary responsibility will be to collaborate with the HR department, business leaders, and hiring managers to identify, attract, and hire top talent in the data analytics industry and related fields. If you are passionate about building high-performing teams and have a proven track record in sourcing, hiring, and retaining top talent, this exciting opportunity is for you. Your key responsibilities will include leading the end-to-end recruitment process for technical roles in Data Engineering, Data Science, and Data Analytics. This will involve assessing candidates" proficiency in programming languages such as Python, Java, and Scala, data pipelines like ETL and Kafka, cloud platforms including AWS, Azure, and GCP, as well as big data technologies like Hadoop and Spark. You will design and implement technical assessment processes to ensure candidates meet the high technical standards required for projects and collaborate with stakeholders to understand specific technical requirements for each role. Furthermore, you will be responsible for building and maintaining a robust pipeline of highly qualified candidates using various sourcing techniques and staying updated with industry trends in Data Engineering, Data Science, and Analytics. Your role will also involve implementing strategies to ensure diverse and inclusive hiring practices, focusing on underrepresented groups in technology, and working on talent development and retention initiatives within the company. To be successful in this role, you should have at least 4 years of experience in Talent Acquisition, with a strong background in recruiting for Data Engineering, Data Science, and Technology roles. You should possess technical knowledge in AI/ML, programming languages like Python, R, and Java, big data technologies such as Hadoop and Spark, cloud platforms like AWS, Azure, and GCP, and analytics tools like Tableau and Power BI. Leadership skills, analytical thinking, excellent communication, and a commitment to excellence are essential qualities required for this position. In addition to technical skills, soft skills such as problem-solving, collaboration, adaptability, attention to detail, continuous learning, and excellent verbal and writing skills are also crucial for success in this role. If you are ready to take on the challenge of shaping the talent acquisition strategy for a dynamic and innovative company like Saarthee, we encourage you to apply for this role and be a part of our journey towards success.,

The Specialized Analytics Manager provides full leadership and supervisory responsibility. You will provide operational/service leadership and direction to team(s). You will apply in-depth disciplinary knowledge through provision of value-added perspectives or advisory services. You may contribute to the development of new techniques, models, and plans within the area of expertise. Excellent communication and diplomacy skills are required for this role. You will generally have responsibility for volume, quality, timeliness of end results, and shared responsibility for planning and budgets. Your work will affect an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family. You will have full supervisory responsibility, ensuring motivation and development of the team through professional leadership. This will include duties such as performance evaluation, compensation, hiring, disciplinary and terminations, as well as direction of daily tasks and responsibilities. The Data Science Analyst is a developing professional role within the GWFO team. In this role, you will apply specialized knowledge in machine learning, statistical modeling, and data analysis to monitor, assess, analyze, and evaluate processes and data. You will identify opportunities to leverage advanced analytics to improve business outcomes, automate processes, and generate actionable insights. Additionally, you will contribute to the development and deployment of innovative AI solutions, including generative AI and agentic AI applications. You will work with cross-functional stakeholders to gather and process operational data from various sources to examine past business performance and identify areas for improvement. As a successful candidate, you should ideally have 7+ years of relevant experience in data science, machine learning, or a related field. You should possess advanced process management skills, be organized and detail-oriented, curious about learning and developing new skill sets, particularly in the area of artificial intelligence, have a positive outlook with a can-do mindset, and strong programming skills in Python and proficiency in relevant data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers. Experience with statistical modeling techniques, building GenAI solutions, agentic AI frameworks, and data visualization tools such as Tableau or Power BI is required. Strong logical reasoning capabilities, willingness to learn new skills, and good communication and presentation skills are also essential. You should have a Bachelors/University degree or equivalent experience. This job description provides a high-level review of the types of work performed, and other job-related duties may be assigned as required. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citis EEO Policy Statement and the Know Your Rights poster.,