213 Data Wrangling Jobs - Page 7

This is a full-time remote role for a Senior Data Analyst & Power BI Developer . The role involves analysing complex data sets, developing data models, converting unstructured data to structured format, creating dashboards and reports using Power BI. Work from home

Role Overview We are seeking a highly skilled Data Scientist with 4 to 8 years of experience to join our dynamic team. The ideal candidate will leverage expertise in Python, SQL, NLP, Computer Vision, Machine Learning, and PySpark to develop and implement advanced data solutions that support our clients digital transformation journeys. You will collaborate closely with business stakeholders and technical teams to analyze complex data sets and deliver actionable insights. Key Responsibilities Design, develop, and deploy machine learning models and data-driven solutions for clients in the financial services sector. Apply NLP and computer vision techniques to extract insights from unstructured data sources. Write optimized SQL queries to extract and manipulate large datasets from relational databases. Build scalable data pipelines and workflows using PySpark for large-scale data processing. Collaborate with cross-functional teams to translate business requirements into analytical solutions. Conduct exploratory data analysis to identify trends, patterns, and opportunities for improvement. Communicate findings and recommendations effectively to both technical and non-technical stakeholders. Stay current with emerging technologies and methodologies in data science, NLP, computer vision, and big data. Mandatory Skills Strong programming skills in Python with a focus on data science and machine learning Proficient in SQL , including complex data extraction, transformation, and manipulation Hands-on experience with Natural Language Processing (NLP) techniques and tools Practical knowledge of Computer Vision algorithms and frameworks Expertise in developing, evaluating, and deploying machine learning models Experience working with PySpark for big data processing and ETL workflows Data wrangling skills are mandatory Experience with BigQuery and Google Cloud Platform (GCP) is good to have Qualifications Bachelors or Masters degree in Computer Science, Data Science, Engineering, Statistics, or a related field. 4+ years of professional experience as a Data Scientist or in a similar role. Strong analytical, problem-solving, and communication skills. Ability to work independently and as part of a collaborative team in a fast-paced environment.

6+ years of hands-on experience in data analysis or BI reporting roles. Strong SQL skills for data wrangling, transformation, and analytics (BigQuery, SQL Server, or similar). Power BI - Proven expertise in report development, DAX, modeling, and storytelling. Looker exp is a bonus. Excellent analytical thinking and ability to draw actionable insights from complex datasets. Strong communication skills - both written and visual - to engage stakeholders.

Position /Title: AI / ML Data Analyst Nos. required: 01 (One) Location: Visakhapatnam Port Authority (VPA) Mode of EmploymentContractual-Full Time Duration of Employment: 01 year (extendable on mutual consent) Job descriptionKey Responsibilities - Analyse and interpret large datasets generated from port operations, including cargo handling, logistics, and vessel traffic. Develop predictive models to optimize cargo throughput and reduce delays. Work with the IT and operations teams to integrate AI solutions into existing systems. Provide data-driven insights to improve decision-making in areas like port efficiency and resource allocation. Create reports and visualizations to communicate findings to management. Ensure compliance with data security and privacy regulations. Educational Qualifications: 04-year Bachelor's degree in Computer Science, Information Technology, or a related field. A Master's degree or higher in Data Science, Machine Learning or a relative field is often preferred. Certifications (anyone): Cisco Certified Network Associate (CCNA). Certification in Data Science / Machine Learning - Google, IBM Data Science Professional Certificate. Microsoft Certified: Azure AI Engineer Associate. SAS Certified Data Scientist, or similar. Skills & Experience: Technical Skills: Programming: Proficiency in programming languages such as Python, R, or SQL. Familiarity with libraries like Pandas, NumPy, and Scikit-learn for data manipulation and machine learning. Data Analysis: Strong experience in statistical analysis, data cleaning, and data visualization. Knowledge of tools like Tableau, Power BI for creating visualizations. Machine Learning: Understanding of machine learning concepts and algorithms (e.g., regression, classification, clustering, decision trees, etc). Hands-on experience building and tuning models. Data Wrangling: Experience with large datasets, including data extraction, transformation, and loading (ETL). Familiarity with databases (SQL, NoSQL) and data warehousing solutions. Tools and Frameworks: Experience with machine learning frameworks like TensorFlow, or similar. Familiarity with cloud platforms (AWS, Azure, Google Cloud) for deploying machine learning models. Soft Skills: Analytical Thinking: Strong analytical skills to understand complex data sets and derive actionable insights. Problem-Solving: Ability to translate business problems into data analysis or machine learning tasks. Communication: Strong verbal and written communication skills to explain technical results to non-technical stakeholders. Experience: Mid-Level: 3-5 years of experience working as a data analyst, data scientist, or in a similar role with hands-on experience in machine learning. Industry Knowledge : Experience in Ports / Maritime specific industries preferred. Project Experience: Real-World Projects: Demonstrated experience in working on real-world data analysis or machine learning projects, which may include internships, or personal projects. Portfolio: A portfolio showcasing previous work, including data analysis reports, machine learning models, and visualizations. Preferred Experience: Experience working with unstructured data (e.g., text, images) and applying machine learning techniques to extract insights. Familiarity with A/B testing, experimental design, or other methodologies for measuring the impact of data-driven decisions. Collaboration experience with cross-functional teams. KINDLY NOTE: APPLICATION ARE ACCEPTED ON OR BEFORE JULY 5th 2025 ONLY.

Identify, analyze, and interpret trends or patterns in complex data sets. Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems. Work with management to prioritize business. Required Candidate profile Knowledge of and experience with reporting packages databases (SQL etc), programming (XML, Javascript, or ETL frameworks). Adept at queries, report writing and presenting findings. Perks and benefits Flexible work arrangements.

Identify, analyze, and interpret trends or patterns in complex data sets. Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems. Work with management to prioritize business. Required Candidate profile Knowledge of and experience with reporting packages databases (SQL etc), programming (XML, Javascript, or ETL frameworks). Adept at queries, report writing and presenting findings. Perks and benefits Flexible work arrangements.

The Data Manager will Have a strong command over data wrangling and data story telling. Address and solve data quality issues either automated update or manually update information into KYCs sources systems or uplift the data into designated platforms. Source data from a variety of sources like core banking systems to combine, synthesise and analyse to improve data quality. Collaborate with stakeholders, SMEs to ensure that the in-scope issues are accurately rectified and meets business requirements. Good Knowledge and experience with tools for data analysis & data remediation (e.g. excel, KYC platforms, reporting tools Power BI, KNIME) Continuous Improvement & Change Understands, accepts and supports the need for change and adapts own behaviours to changing circumstances and provides input to change projects Problem Solving - Comprehensive understanding of a range of problem solving techniques Understanding depth & breadth of data - Some capabilities to source, join and derive insights from disparate data sources across several domain

Project description We need a Senior Python and Pyspark Developer to work for a leading investment bank client. Responsibilities Develop software applications based on business requirements Maintain software applications and make enhancements according to project specifications Participate in requirement analysis, design, development, testing, and implementation activities Propose new techniques and technologies for software development. Perform unit testing and user acceptance testing to evaluate application functionality Ensure to complete the assigned development tasks within the deadlines Work in compliance with coding standards and best practices Provide assistance to Junior Developers when needed. Perform code reviews and recommend improvements. Review business requirements and recommend changes to develop reliable applications. Develop coding documentation and other technical specifications for assigned projects. Act as primary contact for development queries and concerns. Analyze and resolve development issues accurately. Skills Must have 8+ years of experience in data intensive Pyspark development. Experience as a core Python developer. Experience developing Classes, OOPS, exception handling, parallel processing . Strong knowledge of DB connectivity, data loading , transformation, calculation. Extensive experience in Pandas/Numpy dataframes, slicing, data wrangling, aggregations. Lambda Functions, Decorators. Vector operations on Pandas dataframes /series. Application of applymap, apply, map functions. Concurrency and error handling data pipeline batch of size [1-10 gb]. Ability to understand business requirements and translate them into technical requirements. Ability to design architecture of data pipeline for concurrent data processing. Familiar with creating/designing RESTful services and APIs. Familiar with application unit tests. Working with Git source control Service-orientated architecture, including the ability to consider integrations with other applications and services. Debugging application. Nice to have Knowledge of web backend technology Django, Python, PostgreSQL. Apache Airflow Atlassian Jira Understanding of Financial Markets Asset Classes (FX, FI, Equities, Rates, Commodities & Credit), various trade types (OTC, exchange traded, Spot, Forward, Swap, Options) and related systems is a plus Surveillance domain knowledge, regulations (MAR, MIFID, CAT, Dodd Frank) and related Systems knowledge is certainly a plus Other Languages EnglishC2 Proficient Seniority Senior

1. Strong experience in data preparation/data wrangling for data on acquired/import connections. 2. Strong experience in data analyzer. 3. Proficient in SAP SAC functionalities, including data integration, data modeling, story creation, and advanced analytics. 4. Expertise / Knowledge of SAC predictive capabilities, augmented analytics, forecasting, Smart Assist, Smart Predict, Smart Discovery, creating story canvasses, advanced story designing, blending data, formulas, cross calculations, input controls, linked analysis. 5. Understanding of data analytics concepts and best practices and Creation of SAC planning masks, workflows, planning calendars etc. 6. Solid understanding in Filters ; Static and Dynamic . 7. Strong experience in creating geo maps using geo enrichment feature for geospatial analysis and creating Planning models in SAC. 8. Design and implementation of authorizations/roles 9. Create functional designs for reporting to enable developers to build them in SAP BW4HANA/SAC. 10.Around 5-7 Years of experience in Supporting/Development of SAC reports.

Roles and Responsibilities: Collect and curate data based on specific project requirements. Perform data cleaning, preprocessing, and transformation for model readiness. Select and implement appropriate data models for various applications. Continuously improve model accuracy through iterative learning and feedback loops. Fine-tune large language models (LLMs) for applications such as code generation and data handling. Apply geometric deep learning techniques using PyTorch or TensorFlow. Essential Requirements: Strong proficiency in Python, with experience in writing efficient and clean code. Ability to process and transform natural language data for NLP applications. Solid understanding of modern NLP techniques such as Transformers, Word2Vec, BERT, etc. Strong foundation in mathematics and statistics relevant to machine learning and deep learning. Hands-on experience with Python libraries including NumPy, Pandas, SciPy, Scikit-learn, NLTK, etc. Experience in various data visualization techniques using Python or other tools. Working knowledge of DBMS and fundamental data structures. Familiarity with a variety of ML and optimization algorithms.

About Us. At ANZ, we're shaping a world where people and communities thrive, driven by a common goal: to improve the financial wellbeing and sustainability of our millions of customers.. About The Role. Role Location : Manyata Technology Park, Bangalore. We are looking for a talented Data Analyst to join our Australia Data tribe within the Australia Retail division. This role focusing on harnessing the power of data to generate insights, manage information, and support decision-making.. As a Data Analyst, you will help foster a data-driven culture by developing analytics capabilities, promoting knowledge sharing, and ensuring adherence to standards, governance, and continuous learning across the tribe.. In this role, you will support Customer Service and Operations (CSO) Analytics initiatives, focusing on Home Lending and Work ware Management data. What will your day look like?. Solve complex business challenges by analysing large datasets, defining data roadmaps, and sourcing insights from multiple sources.. Understand and manage the complete analytics process, from data collection to delivering actionable insights.. Promote a fact-based decision-making, problem solving culture and present insights to drive innovation and improve propositions across the organization.. Work closely with business stakeholders to understand their needs, challenges, and goals and optimize strategies to enhance performance.. Collaborate with other data analysts and data practitioners to define data requirements and ensure the delivery of impactful, data-driven solutions.. What will you bring?. 7 plus years of experience in data domain with expertise as Data Analyst.. Data Wrangling – Manages large, structured data from multiple sources, applying Structured Queries to transform, join, and extract data for enhanced analysis.. Descriptive and Diagnostic Analytics –Analyses advanced trends in complex data, drawing insights from diverse sources to solve critical business challenges and develop prescriptive analytics.. Data Visualization Creates sophisticated visualizations, drawing insights, and automating data visuals for decision-making using Qlik/Tableau. Risk & Issue Management, Agile Practices & Ways of Working: Independently assesses risks and applies data security principles while leading Agile teams, optimizing workflows, and coaching on best practices.. Data Modelling – Handles complex data structures, building trust in data reliability and ensuring accurate connections for advanced analytics.. Soft skills Problem Solving, Communication, Collaboration, Critical Thinking, Data Storytelling. Data Quality & Validation Checks Independently creates and applies checks to ensure accurate, complete data.. Proficient in Python, Airflow and Git for workflow automation and version control.. Familiar with cloud platforms (AWS, Azure, GCP) for efficient data management and processing.. Expertise in complex SQL queries for large-scale data analysis and reporting.. You’re not expected to have 100% of these skills. At ANZ a growth mindset is at the heart of our culture, so if you have most of these things in your toolbox, we’d love to hear from you.. So why join us?. ANZ is a place where big things happen as we work together to provide banking and financial services across more than 30 markets. With more than 7,500 people, our Bengaluru team is the bank's largest technology, data and operations centre outside Australia. In operation for over 33 years, the centre is critical in delivering the bank's strategy and making an impact for our millions of customers around the world. Our Bengaluru team not only drives the transformation initiatives of the bank, it also drives a culture that makes ANZ a great place to be. We're proud that people feel they can be themselves at ANZ and 90 percent of our people feel they belong.. We know our people need different things to be great in their role, so we offer a range of flexible working options, including hybrid work (where the role allows it). Our people also enjoy a range of benefits including access to health and wellbeing services.. We want to continue building a diverse workplace and welcome applications from everyone. Please talk to us about any adjustments you may require to our recruitment process or the role itself. If you are a candidate with a disability or access requirements, let us know how we can provide you with additional support.. To find out more about working at ANZ visit https://www.anz.com/careers/ . You can apply for this role by visiting ANZ Careers and searching for reference number 95729.. Job Posting End Date. 19th May 2025, 11.59pm, (Melbourne Australia). Show more Show less

Company Profile: Bain & Company is one of the top management consulting firms in the world In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center in Gurugram, now renamed as Bain Capability Network (BCN) The BCN plays a critical role in supporting Bain's case teams and initiatives globally to help with analytics and research across all industries and capabilities, Team Summary: This position is based in BCN's Gurgaon office and is a vital part of the Data and Technology team The Benchmarking team, part of the Data & Insights Industries CoE, plays a critical role in advancing Bain's expertise in the consumer products sector Our team is responsible for building and maintaining comprehensive databases that capture key industry benchmarks and performance metrics These data assets empower Bain's consultants to deliver unparalleled insights and drive value for clients in the consumer products industry By staying ahead of industry trends and leveraging advanced data analytics, the Consumer Products Benchmarking team supports Bains commitment to delivering top-tier strategic guidance to its clients Over time, we have developed seamless solutions and utilize powerful, dynamic visualizations and charts on various platforms to showcase our results A key arm of the team is also involved in creating critical intellectual property (IP) that is valuable for new CPG cases globally at Bain, Position Summary: The person in this role will need to: Translate business objectives into data and analytics solutions and translate results into business insights using appropriate data engineering, analytics, visualization & Gen AI applications Leverage Gen AI skills to design and create repeatable analytical solutions to improve data quality Design, build, and deploy machine learning models using Scikit-Learn for various predictive analytics tasks, Implement and fine-tune NLP models with Hugging Face to address complex language processing challenges Collaborate with engineering team members on design requirements to turn PoC methods into repeatable data pipelines; work with Practice team to develop repeatable and scalable products Assist with creation and documentation of standard operating procedures for repeated data processes, as well as knowledge base of data methods Keep abreast of new developments in AI/ML technologies and best practices in data science, particularly in LLMs and generative AI, Will be a technical lead and might lead a small team, and manage their day-to-day activities and provide status update to PIT Required Experience: A Bachelors or Masters degree in in Computer Science, Artificial Intelligence, Applied Mathematics, Econometrics, Statistics, Physics, Market Research, or related field is preferred 3+ years of experiencewith data science & data engineering with Hands-on experience with AI/GenAI tools Experience designing and developing RESTful and GraphQL APIs to facilitate data access and integration, Proficiency with data wrangling in either R or Python is required Familiarity with MLOps practices for model lifecycle management Experience with Git and modern software development workflow is a plus Experience with containerization such as Docker/Kubernetes is a plus Agile way of working and tools (Jira, Confluence, Miro) Strong interpersonal and communication skills are a must Experience with Microsoft Office suite (Word, Excel, PowerPoint, Teams) is preferred Ability to explain and discuss Gen AI and Data Engineering technicalities to a business audience

As a Data Scientist, you will develop and implement data-driven solutions to drive business outcomes at Kraft Heinz You will work with your team and manager on advanced analytics and DS modelling projects from inception to production, collaborating with stakeholders to deliver high-impact results, Responsibilities Develop, test, and deploy predictive models using machine learning and statistical techniques Collaborate with stakeholders to identify opportunities and design solutions Explore and analyze large datasets to inform business decisions Engineer new features and test various modeling approaches to develop industry-leading analytics products Contribute to the development of our data science capabilities and best practices Requirements Bachelors degree in Data Science, Computer Science, Engineering, or Statistics 3+ years of applied experience in data science or related field Expertise in Python and/or R, and eager to learn other languages Fluency in SQL Strong understanding of machine learning, data wrangling, and exploratory analysis Ability to work collaboratively with stakeholders to deliver high-impact results Excellent communication and problem-solving skills Preferred Qualifications Experience with Big Data technologies such as Snowflake and Spark Experience with cloud-based technologies such as Azure Familiarity with Agile development methodologies Experience working in a cross-functional team environment Expertise with the following modeling methods Design of Experiments, ANOVA, multivariate regression, discrete and continuous optimization, survival analysis, discrete event simulation

Junior Data Scientist Job Summary: A Junior Data Scientist applies statistical and machine learning techniques to extract insights and build predictive models. They support senior data scientists in developing data-driven solutions. Job Title : Junior Data Scientist Location : Chennai, Hyderabad, Bangalore Experience : 0-2 Key Responsibilities: Clean and preprocess data for modelling. Conduct exploratory data analysis and feature engineering. Build and evaluate machine learning models. Interpret model results and communicate findings. Collaborate with cross-functional teams to deploy models. Document methodologies and maintain reproducible code. Required Skills: Strong programming skills in Python or R. Knowledge of machine learning algorithms (regression, classification, clustering). Experience with libraries like Scikit-learn, TensorFlow, or PyTorch. Understanding of statistics and probability. Ability to visualize data and model outputs. Qualifications: Bachelors or Masters degree in Data Science, Computer Science, Statistics, or related field. Experience through coursework, internships, or personal projects. Tools & Technologies: Python (NumPy, Pandas, Scikit-learn) Jupyter Notebooks SQL TensorFlow, PyTorch (basic) Git, Docker (optional)

- Hands-on experience with Jupyter Notebooks, Google Colab, Git & GitHub .- Solid understanding of Data Visualization Tools and Dashboard Creation. - Prior teaching/training experience (online/offline) is a plus .- Excellent communication and presentati

We only hire from Top Tier Universities including IITs, BITS, DCE/NSIT, ISI, Top NITs etc. This role is only suitable for candidates with between 1 to 4 years experience. People with more than 4 years of experience need not apply. This is an URGENT requirement. We are hiring for a UK based Fintech company (name is kept confidential). The company is seeking an early stage Data Scientist to join the team and support the design, development, and Machine Learning and AI use-cases. Your work will directly support strategic initiatives and improve business outcomes. Job Summary : We are seeking a motivated Data Scientist to join our Data and AI team. The ideal candidate will assist in analysing complex datasets, building predictive models, and contributing to data-driven decision-making. This entry-level role is perfect for someone eager to apply their technical skills and grow in a collaborative, innovative environment. Key Responsibilities : Collect, clean, and preprocess structured and unstructured data from various sources Perform exploratory data analysis (EDA) to identify trends, patterns, and insights Develop, test, and deploy basic machine learning models under senior team guidance Create visualisations and dashboards to communicate findings to stakeholders Collaborate with cross-functional teams (e.g., product, engineering) to support business objectives Assist in maintaining data pipelines and ensuring data quality Stay updated on industry trends and emerging tools in data science Qualifications : Bachelors degree in data science, Computer Science, Statistics, Mathematics, or a related field 1-3 years of experience in data science or a related role (internships or academic projects count) Proficiency in Python for data analysis (e.g., pandas, NumPy, scikit-learn) Strong analytical and problem-solving skills Excellent communication skills to explain technical concepts to non-technical audiences. Understanding of machine learning algorithms (e.g., regression, classification, clustering). Nice to Have: Internship or project experience in data science or analytics Exposure to Gen AI architectures (RAG, MCP etc.) Experience working with cloud platforms (e.g., AWS, GCP, Azure) Experience with SQL for data querying Knowledge of version control (e.g., Git)

Job Responsibilities Develop clear, concise, actionable solutions and recommendations for Client's business needs. • Work with complex data files and develop initial understanding on data files Undertake exploratory data analysis to derive initial findings and create hypothesis Work on problem specific data models Undertake hands on work on data analytics, model development and testing and preparing the data files for visualization platforms Undertake business analysis on the data and provide insights Coordinate with decision makers to translate business questions into a verifiable hypothesis and data models • Work hands-on across various analytics problems and provide thought leadership on problems • Interact with other stakeholders (Data engineers, BI specialists, offsite team, client teams) on daily/weekly basis to gather requirements/ provide updates. Requirements & Qualifications: • 4-7 years of experience of in data science domain working across a variety of industries • Graduation or Post graduation in Statistics, Mathematics, Management etc. • Strong CPG domain knowledge • Have exposure to CPG marketing analytics Trade (ATL/BTL), Digital, Traditional • Ability to think open ended/unstructured problem solving • Good understanding of statistics along with analysis techniques like Correlation, Regression, Hypothesis Testing, Basic Time Series Forecasting etc. • Excellent Data Wrangling – using Excel, Python basics (good to have) • Hands on experience on SQL, Python coding • Strong logical, analytical, and problem-solving skills • Adept at writing reports, making PowerPoint presentations to present findings • Excellent verbal and written communication skills along with experience of client facing roles

Demonstrate quantitative skills and well versed with data wrangling methods. Develop, Review, Validation of Basel/Capital model on risk factors PD, LGD, Credit Portfolio) for retail and wholesale portfolios. Documentation aspect of model development is key as are the skills to present this information to peer review and independent review of model governance committees. Manage Basel Modelling, PD, LGD Model Development Develop / validate risk measurement models for credit risk management, incl. models for credit rating and scorecards. Collate, test and check independently sourced economics data (forecast and stress) and assess its robustness and fitness for purpose of model development. Demonstrate Credit Risk Model Development. Ensure adequate documentation and analysis in place for model review committee which involves peer review and independent review committees Prepare effective material for dissemination to key business stakeholders at all levels of seniority and obtain approval by the clients Support ad-hoc requests in support of the business as necessary Ensure timelines around project deliverable are met and all the stake holders are informed about the status of the projects Drive standardization of analysis and processes to gain efficiency If you thrive in a dynamic, collaborative workplace, IBM provides an environment where you will be challenged and inspired every single day. And if you relish the freedom to bring creative, thoughtful solutions to the table, there's no limit to what you can accomplish here. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Graduate or postgraduate with a minimum of6+ years of experience in theFinance domain Proven Mathematician/Statisticianor quantitative background with knowledge of economic and econometric models (at least master's degree). Working knowledge SAS / Python and R. Exposure to Basel Modelling, PD, LGD Model Development and Validation, economic capital modelling, from any Competitoror bank / with Risk Management experience in the wholesale and retail area. Proven communication skills with technical (the team) and non-technical (senior entity management around the globe) counterparts. Proficient in high customer orientation and conflict management Working knowledge of credit risk or Basel/capital model development Ability to convert business needs into modelling needs

48 years of relevant experience in marketing claims review, administration, or product data management. Strong analytical skills with attention to detail. Proficiency in managing data within product information systems (PIM, ERP, or other relevant tools). Familiarity with marketing compliance standards and regulatory requirements. Excellent communication and collaboration skills. Ability to multitask and thrive in a fast-paced environment. Marketing Claims Analyst/Admin: Review and validate marketing claims for accuracy, compliance, and regulatory alignment. Collaborate with legal, compliance, and marketing teams to ensure claims meet industry standards. Maintain documentation and audit records related to marketing claims. Support administrative tasks, including data entry, reporting, and tracking claim approvals. Assist in updating marketing content across various platforms based on validated claims.

Key Responsibilities Design, develop, and deploy machine learning and deep learning models for real-world applications Optimize and fine-tune AI models for performance, scalability, and efficiency Work with large datasets, including data preprocessing, feature engineering, and model training Implement NLP, computer vision, reinforcement learning, or generative AI solutions based on business needs Collaborate with data engineers to build scalable ML pipelines and integrate AI models into production systems Stay updated with the latest advancements in AI/ML research and apply them to solve business challenges Conduct A/B testing, model validation, and performance monitoring to ensure robustness Work with cloud platforms (AWS, GCP, Azure) and AI/ML tools (TensorFlow, PyTorch, Hugging Face, LangChain, etc.) Mentor junior engineers and contribute to technical decision-making Skills & Requirements Must Have Skills Python programming and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) Deep learning architectures (CNNs, RNNs, Transformers, GANs) Generative AI (Diffusion models, LLM fine-tuning, RAG) NLP (BERT, GPT, LLMs) or Computer Vision (OpenCV, YOLO) Good To Have Skills Reinforcement learning or autonomous systems Edge AI or embedded ML deployments Big data technologies (Spark, Hadoop, SQL/NoSQL databases) CI/CD pipelines and version control (Git) MLOps tools (MLflow, Kubeflow, Docker, Kubernetes) Cloud-based AI services (AWS SageMaker, GCP Vertex AI, Azure ML) Soft Skills Problem-solving skills Ability to translate business needs into AI solutions Mentorship capabilities Job application: https://app.fabrichq.ai/jobs/f29e2342-c5c2-488a-93ca-bd0bbb62d369

Specialist IS Bus Sys Analyst What you will do Let’s do this. Let’s change the world. In this vital role you will serve as a Business Systems Analyst supporting data analytics and visualization efforts across Amgen’s Global Procurement Operations . You will work with Product Owners, Data Engineers, and Business SMEs to deliver reporting and dashboards that unlock insights across Source-to-Settle processes. This role is critical to building Amgen’s analytics foundation for procurement transformation. . Roles & Responsibilities: Gather and document business reporting and analytics requirements across product teams. Design and build dashboards in tools such as Tableau, Power BI, or SAP Analytics Cloud. Translate procurement KPIs into actionable visualizations aligned with product team priorities. Collaborate with EDF and source system teams (SAP, Ariba, Apex, LevelPath) to define and access data sources. Perform data validation and user acceptance testing for new dashboards and enhancements. Enable self-service analytics capabilities for business users. Ensure compliance with Amgen’s data governance and visualization standards. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree and 4 to 6 years of relevant experience OR Bachelor’s degree and 6 to 8 years of relevant experience OR Diploma and 10 to 12 years of professional experience. Preferred Qualifications: Must-Have Skills: Hands-on experience with Tableau, Power BI, or similar tools. Solid understanding of procurement data and Source-to-Settle processes. Ability to partner with cross-functional stakeholders to define KPIs and reporting needs. Good-to-Have Skills: Familiarity with data lake/data warehouse concepts (EDF preferred). Basic SQL or data wrangling skills to support ETL processes. Professional Certifications (Preferred): Tableau or Power BI certification; Agile certifications are a plus. Soft Skills: Exceptional communication and stakeholder management skills. Ability to collaborate across global teams and influence outcomes. Strong organizational skills to manage multiple priorities. Team-oriented and focused on delivering high-value solutions. Self-starter with a proactive approach to resolving challenges and driving innovation. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Specialist IS Bus Sys Analyst What you will do Let’s do this. Let’s change the world. In this vital role you will serve as a Business Systems Analyst supporting data analytics and visualization efforts across Amgen’s Global Procurement Operations . You will work with Product Owners, Data Engineers, and Business SMEs to deliver reporting and dashboards that unlock insights across Source-to-Settle processes. This role is critical to building Amgen’s analytics foundation for procurement transformation. . Roles & Responsibilities: Gather and document business reporting and analytics requirements across product teams. Design and build dashboards in tools such as Tableau, Power BI, or SAP Analytics Cloud. Translate procurement KPIs into actionable visualizations aligned with product team priorities. Collaborate with EDF and source system teams (SAP, Ariba, Apex, LevelPath) to define and access data sources. Perform data validation and user acceptance testing for new dashboards and enhancements. Enable self-service analytics capabilities for business users. Ensure compliance with Amgen’s data governance and visualization standards. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications. Basic Qualifications: Master’s degree and 4 to 6 years of relevant experience OR Bachelor’s degree and 6 to 8 years of relevant experience OR Diploma and 10 to 12 years of professional experience. Preferred Qualifications: Must-Have Skills: Hands-on experience with Tableau, Power BI, or similar tools. Solid understanding of procurement data and Source-to-Settle processes. Ability to partner with cross-functional stakeholders to define KPIs and reporting needs. Good-to-Have Skills: Familiarity with data lake/data warehouse concepts (EDF preferred). Basic SQL or data wrangling skills to support ETL processes. Professional Certifications (Preferred): Tableau or Power BI certification; Agile certifications are a plus. Soft Skills: Exceptional communication and stakeholder management skills. Ability to collaborate across global teams and influence outcomes. Strong organizational skills to manage multiple priorities. Team-oriented and focused on delivering high-value solutions. Self-starter with a proactive approach to resolving challenges and driving innovation. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

What lands you in this role Prepare and transform datasets through thorough data wrangling, cleansing, and preprocessing to enable high-quality analysis. Build and maintain efficient data ingestion pipelines to seamlessly integrate data from multiple sources. Conduct deep exploratory data analysis (EDA) to identify trends, patterns, and actionable insights. Leverage Python and SQL extensively for data manipulation, querying, and deploying analytical models. Use Excel and BI tools (Tableau, Power BI etc) for dashboards and data analysis. Translate complex model outputs into clear, actionable insights for both technical and business stakeholders. Partner closely with data engineers, analysts, and business teams to embed analytical solutions into existing workflows. Contribute to the development and optimization of statistical models and machine learning algorithms for targeted business problems. Support the design and validation of forecasting models to anticipate future business outcomes. Keep abreast of emerging techniques and innovations in data science, machine learning, and statistical modeling. Required Skills & Qualifications: 3 to 6 years of experience in Business Analysis, statistics, Data cleaning and transformation and related fields. Good proficiency in statistical modeling and hypothesis testing. Hands-on experience with Python (NumPy, Pandas, Scikit-learn, etc.). Advanced SQL skills for querying and manipulating large datasets. Experience in Excel and creating Dashboards is a plus. Experience in data wrangling, preprocessing, and feature engineering. Knowledge of data ingestion techniques and pipeline development. Ability to interpret predictive models, classification, regression, and clustering algorithms. Strong analytical and problem-solving skills with a keen eye for detail. Excellent communication and storytelling skills to present insights effectively.

Job Title: Industry Function AI Decision Science Consultant- SC Global Network Management Level: 9- Consultant Location: Primary - Bengaluru, Secondary - Gurugram Must-Have Skills: Data Science, AI, ML, Experience with cloud platforms such as AWS, Azure, or Google Cloud, Hands-on experience in programming languages like Python, R, PySpark, and SQL Good-to-Have Skills: Deep Learning Techniques (e.g. RNN, CNN), Visualization tools like Power BI and Tableau, Exposure to tools like ChatGPT, Llama 2, Hugging Face, etc. Job Summary : As an Industry Function AI Decision Science Consultant, you will leverage your expertise in data science and Consumer Goods domain knowledge to design and deliver AI-driven solutions. Your role will include strategic analysis, project delivery, solution development, and technical execution to empower businesses with actionable insights and enable automated and augmented decision-making. Roles Responsibilities: Conduct strategic analysis of the AI, analytics, and data maturity landscape for clients in the Consumer Goods domain Lead data science engagements, manage delivery teams, and build innovative AI capabilities Develop and implement advanced analytics solutions tailored to client requirements Utilize languages like Python, PySpark, R, and SQL for data wrangling and machine learning model development Leverage cloud technologies (Azure, AWS, GCP) to integrate and implement AI solutions Translate complex data into compelling narratives for effective data storytelling Mentor junior team members and contribute to thought leadership Professional Technical Skills: Proficiency in Python, R, PySpark, and SQL Strong knowledge of traditional statistical methods, machine learning techniques, and deep learning Hands-on experience in Consumer Goods Services domain Cloud integration skills with platforms like AWS, Azure, or Google Cloud Experience with optimization techniques (exact and evolutionary) Certifications like AWS Certified Data Analytics Specialty or Google Professional Data Engineer Familiarity with visualization tools like Tableau and Power BI Exposure to large language models (e.g., ChatGPT, Llama 2) Familiarity with version control systems like Git. Additional Information: The ideal candidate will have a strong educational background in data science, computer science, or a related field, along with a proven track record of delivering impactful AI-driven solutions in the Consumer Goods industry. About Our Company | Qualifications Experience: Minimum 4-8 years of hands-on experience in data science with a focus on the Consumer Goods industry Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or equivalent degree with Data Science specialization (from a premier institute)

Job Overview Do you have a passion for technology and storytelling? Then, you would be the perfect fit as our next Technology Content Contributor! The Technology Content Contributor design and author content in terms of video based courses and interactive lessons. The Content contributor collaborates with Technology Content strategist to craft learning outcomes and build a compelling learner experience. Job Responsibilities Create and maintain a high-level plan for web-based or live training on a variety of technologies, including one or more of the following: AI/ML, DevOps, software development, cloud, security, data, networking and related technologies Create effective learning experience based on the learning plans that will achieve an ultimate end goal for the learner Design and review instructional content in addition to assessment questions. Conduct on-going research and development on specific discipline areas and utilize this information to enhance the learner’s learning experience. Skills Required Proficient in programming languages such as Python, R and Java Understanding of Machine Learning(ML) and deep learning (DL) Expertise in Data Management and processing, techniques of data wrangling, preprocessing, understanding of big data tools such as Hadoop or Apache Spark Strong Analytical and Mathematical skills. Strong time management and organizational skills; attention to detail and initiative Professional experience with technical or academic writing, particularly in a digital format