107 Data Wrangling Jobs - Page 3

Are you our Type Monotype, named "One of the Most Innovative Companies in Design" by Fast Company, is dedicated to bringing brands to life through type and technology that consumers engage with daily. With a rich legacy spanning centuries, Monotype boasts a library featuring renowned typefaces like Helvetica, Futura, and Times New Roman, among others. Additionally, Monotype offers a pioneering service that enhances access to fonts for creative professionals, facilitating their discovery, licensing, and utilization in today's digital landscape. Collaborating with major global brands and individual creatives, Monotype provides a diverse range of solutions to streamline the design of captivating brand experiences. Monotype Solutions India serves as a strategic center of excellence for Monotype, recognized as a certified Great Place to Work for three consecutive years. The center's rapid growth encompasses various domains such as Product Development, Product Management, Experience Design, User Research, Market Intelligence, AI and Machine Learning research, Innovation, Customer Success, Enterprise Business Solutions, and Sales. Headquartered in the Boston area with a global presence across 4 continents, Monotype stands as the world's leading font company, trusted by the top brands worldwide and acknowledged as One of the Most Innovative Companies in Design by Fast Company. Monotype is a pioneering technology company at the forefront of AI innovation in fonts. We are currently seeking a motivated and curious AI/ML Engineer to join our dynamic team. As an AI/ML Engineer, you will be instrumental in designing and implementing state-of-the-art AI/ML solutions to address real-world challenges. This position is based in the Delhi NCR area. **What you will be doing:** - Designing, developing, and testing AI/ML models using supervised and unsupervised learning techniques. - Preparing and pre-processing data for model training and evaluation. - Collaborating with data scientists and engineers to define project requirements and success metrics. - Deploying and monitoring models in production environments. - Staying updated with the latest advancements in AI/ML research and development. **What we are looking for:** - Bachelor's degree in computer science, mathematics, statistics, or a related field. - Strong grasp of machine learning concepts, algorithms, and techniques. - Knowledge or understanding of deep learning frameworks (TensorFlow, PyTorch) and programming languages (Python, R). - Familiarity with data wrangling and manipulation tools (pandas, NumPy). - Excellent communication and collaboration skills. - A keen interest in continuous learning and exploring new technologies. **Preferred Skills:** - Strong understanding of computer vision, natural language processing, and other AI-related domains. - Knowledge or understanding of generative AI models, particularly Stable Diffusion. - Published research papers or contributions to the AI/ML community are advantageous. - Knowledge or understanding of building and deploying ML pipelines. Monotype is expanding globally, and proficiency in one or more of the following languages (German, Japanese, French, Spanish) is desirable but not mandatory for this role.,

About The Role Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: AI/ML Computational Science Sr Analyst Qualifications: Any Graduation/Post Graduate Diploma in Management Years of Experience: 5 to 8 years Language - Ability: English(Domestic) - Advanced About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions.The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent AutomationUnderstanding of foundational principles and knowledge of Artificial Intelligence AI including concepts, techniques, and tools in order to use AI effectively. What are we looking for Machine LearningMachine Learning AlgorithmsMicrosoft Azure Machine LearningPython (Programming Language)Python Software DevelopmentAbility to work well in a teamWritten and verbal communicationNumerical abilityResults orientation2 CL8 ML Research Engineers:1. Mathematical & Statistical Foundations2. Programming & Software Engineering3. Model Development & Experimentation4. MLOps & Deployment5. Data Engineering & Feature EngineeringML Research Engineers must be adept at:Data wrangling, feature extraction, and data validationWorking with structured, unstructured, and streaming dataCollaborating with data engineers to ensure data quality and availability Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day to day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Please note that this role may require you to work in rotational shifts Qualification Any Graduation,Post Graduate Diploma in Management

Req ID: 71958 Department: Risk Strategy & Transformation - Chief of Staff Division: Risk Location: Bengaluru About Us At ANZ, we're applying new ways technology and data can be harnessed as we work towards a common goal: to improve the financial wellbeing and sustainability of our millions of customers. About the Role The mission of the Risk Transformation Project is to provide cutting edge risk management services, across group, wholesale and retail risk areas to deliver a better banker and customer experience leveraging data and business rule focused solutions. As an Analyst you will optimise end-to-end customer journeys and improve the customer experience by devising innovative solutions, services, products or propositions. You will work to solve complex problems using a range of techniques and will be a core conduit between the engineers and the business. The role requires strong engagement and collaboration with internal stakeholders and external partners. To be successful in this role you will bring your strong communication skills, technical expertise and analytical/problem solving abilities to drive tangible solutions allowing the Tech Area to fulfil its mission statement. You will also have a strong background in software delivery and systems implementation. What will your day look like You have exceptional stakeholder management and relationship building skills, with the ability to influence outcomes at all levels of the business. You are able to analyse data and business/system processes to identify gaps. Draw out insights and present outcomes for data driven decision making. Source data from a variety of sources to combine, synthesise and analyse to generate insights. Address and solve complex business issues using large amounts of data. Strong data visualisation skills with ability to present data dynamically to solve key business questions. You have an intense passion and curiosity for customers, their needs and wants, putting them at the centre of everything you do. You are able to explore customer needs in a data-driven way, develop and implement innovative solutions, test the outcomes, and iterate. You are able to bridge the gap/translate business requirements into well-defined features/user stories/acceptance criteria to be consumed by engineers to build and deliver awesome outcomes for our customers. You can proactively identify and assess risks, devise appropriate mitigants & controls and comply with risk management processes and policies. You have a strong execution mindset and ability to deliver quality outputs within required timeframes. You are able to support other analysts in your squad and influence the outcomes where required. What will you bring Significant experience / expertise with banking & financial services, especially in data heavy roles Understanding of how risk plays a role in wholesale and retail lending and processes Understanding of how credit risk management activities are used within the banking environment, including an overarching understanding of the impacts that legislation and regulations have on operations Working knowledge of analytical programming languages such as SQL Proven data wrangling skills to quickly understand and validate different data sources to build effective, sustainable analytical assets Desirable to have knowledge and experience with Cloud Technologies (e.g. GCP, AWS) and big data technologies like datalake,

Key Responsibilities Extract and analyze data from company databases to drive the optimization and enhancement of product development and marketing strategies. Analyze large datasets to uncover trends, patterns, and insights that can influence business decisions. Leverage predictive and AI/ML modeling techniques to enhance and optimize customer experience, boost revenue generation, improve ad targeting, and more. Design, implement, and optimize machine learning models for a wide range of applications such as predictive analytics, natural language processing, recommendation systems, and more. Conduct experiments to fine-tune machine learning models and evaluate their performance using appropriate metrics. Deploy machine learning models into production environments, ensuring scalability Qualifications Bachelor's, Master's or Ph.D in Computer Science, Data Science, Mathematics, Statistics, or a related field. 2+ years of experience in Analytics, Machine learning, Deep learning. Proficiency in programming languages such as Python, and familiarity with machine learning libraries (e.g., Numpy, Pandas, TensorFlow, Keras, PyTorch, Scikit-learn). Strong experience with data wrangling, cleaning, and transforming raw data into structured, usable formats. Hands-on experience in developing, training, and deploying machine learning models for various applications (e.g., predictive analytics, recommendation systems, anomaly detection). In-depth understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) and their appropriate use cases. Experience with model evaluation techniques (e.g., cross-validation, A/B testing, performance metrics). Experience with cloud platforms (AWS, GCP, Azure) for model deployment and scalal Proficiency in data processing and manipulation techniques. Excellent problem-solving skills and the ability to work effectively in a collabor environment. Strong communication skills to convey complex technical concepts to non-tech stakeholders. Good To Have Experience in the [banking/financial services/industry-specific] sector. Familiarity with cloud-based machine learning platforms such as Azure, AWS, or GCP. Skills: recommendation systems,pytorch,cloud,anomaly detection,numpy,python,data cleaning,deep learning,predictive analytics,a/b testing,machine learning,pandas,tensorflow,scikit-learn,data wrangling,cloud platforms (aws, gcp, azure),model evaluation techniques,cross-validation,keras,machine learning models,

Dear Candidate, We are looking for a skilled Data Engineer to design and maintain data pipelines, ensuring efficient data processing and storage. If you have expertise in ETL, SQL, and cloud-based data platforms, wed love to hear from you! Key Responsibilities: Design, develop, and maintain scalable data pipelines. Optimize data workflows for performance and efficiency. Work with structured and unstructured data sources. Implement data governance and security best practices. Collaborate with data scientists and analysts to support data-driven decisions. Ensure compliance with data privacy regulations (GDPR, CCPA). Required Skills & Qualifications: Proficiency in SQL, Python, or Scala for data processing. Experience with ETL tools (Informatica, Apache NiFi, AWS Glue). Hands-on experience with cloud data platforms (AWS, Azure, GCP). Knowledge of data warehousing (Snowflake, Redshift, BigQuery). Familiarity with Apache Spark, Kafka, or Hadoop for big data processing. Soft Skills: Strong problem-solving and analytical skills. Ability to work independently and in a team. Good communication skills to collaborate with stakeholders. Note: If interested, please share your updated resume and your preferred contact details. If shortlisted, our HR team will reach out to you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Overview We are an integral part of Annalect Global and Omnicom Group, one of the largest media and advertising agency holding companies in the world. Omnicom’s branded networks and numerous specialty firms provide advertising, strategic media planning and buying, digital and interactive marketing, direct and promotional marketing, public relations, and other specialty communications services. Our agency brands are consistently recognized as being among the world’s creative best. Annalect India plays a key role for our group companies and global agencies by providing stellar products and services in areas of Creative Services, Technology, Marketing Science (data & analytics), Advanced Analytics, Market Research, Business Support Services, Media Services, Consulting & Advisory Services. We currently have 2500+ awesome colleagues (in Annalect India) who are committed to solve our clients’ pressing business issues. We are growing rapidly and looking for talented professionals like you to be part of this journey. Let us build this, together Responsibilities Translating data into clear, compelling, and actionable insights by leveraging advanced analytics tactics conducted by central resources. Developing and executing attribution and measurement projects. Ensuring timely follow through on all scheduled and ad hoc deliverables. With the leaders of the functional specialty teams, keeping track of projects being run by the Functional Specialists to ensure they are done on time and to right level of quality. Development of presentations to clients, including the results of attribution and modelling projects in a clear and insightful narrative, digestible by a lay person. Understanding of consumer and marketplace behaviours, particularly those that most impact business and marketing goals. Able to work successfully with teams, handling multiple projects and meeting client expectations. Qualifications 9-12 years of experience in a quantitative data driven field, media, or equivalent coursework or academic projects. Understanding of econometric analysis and advanced analytics solutions around survey data and of web analytics data as well. Good working knowledge and understanding of Market mix modelling/advance analytics is a must have skill. Data wrangling/story building are good to have Good knowledge in Shell Scripting, Unix/Linux, familiarity with Visualization tool and ETL tools is beneficial. Should be able to work independently, interpret data effectively, and deliver detailed reports for clients. Excellent communication skills. Familiarity with digital media concepts & tools and web analytics. Knowledge and experience with syndicated research sources/tools.

Description: The Data & Analytics Team is seeking a Data Engineer with a hybrid skillset in data integration and application development. This role is crucial for designing, engineering, governing, and improving our entire Data Platform, which serves customers, partners, and employees through self-service access. You'll demonstrate expertise in data & metadata management, data integration, data warehousing, data quality, machine learning, and core engineering principles Requirements: • 5+ years of experience with system/data integration, development, or implementation of enterprise and/or cloud software. • Strong experience with Web APIs (RESTful and SOAP). • Strong experience setting up data warehousing solutions and associated pipelines, including ETL tools (preferably Informatica Cloud). • Demonstrated proficiency with Python. • Strong experience with data wrangling and query authoring in SQL and NoSQL environments for both structured and unstructured data. • Experience in a cloud-based computing environment, specifically GCP. • Expertise in documenting Business Requirement, Functional & Technical documentation. • Expertise in writing Unit & Functional Test Cases, Test Scripts & Run books. • Expertise in incident management systems like Jira, Service Now etc. • Working knowledge of Agile Software development methodology. • Strong organizational and troubleshooting skills with attention to detail. • Strong analytical ability, judgment, and problem analysis techniques. • Excellent interpersonal skills with the ability to work effectively in a cross-functional team. Job Responsibilities: • Lead system/data integration, development, or implementation efforts for enterprise and/or cloud software. • Design and implement data warehousing solutions and associated pipelines for internal and external data sources, including ETL processes. • Perform extensive data wrangling and author complex queries in both SQL and NoSQL environments for structured and unstructured data. • Develop and integrate applications, leveraging strong proficiency in Python and Web APIs (RESTful and SOAP). • Provide operational support for the data platform and applications, including incident management. • Create comprehensive Business Requirement, Functional, and Technical documentation. • Develop Unit & Functional Test Cases, Test Scripts, and Run Books to ensure solution quality. • Manage incidents effectively using systems like Jira, Service Now, etc. • Prepare change management packages and implementation plans for migrations across different environments. • Actively participate in Enterprise Risk Management Processes. • Work within an Agile Software Development methodology, contributing to team success. • Collaborate effectively within cross-functional teams. What We Offer: Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities! Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses. Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

Skill required: Delivery - Data Wrangling Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Design, develop, and adapt data wrangling tools & techniques to explore, transform, map & discover data patterns, and garner business insights. It is the process of transforming and mapping data from one raw data form into another format. What are we looking for Marketing Data Wrangler 4 + years designing and implementing large scale data loading, manipulation, processing solutions Experience working in CPG/Retail/Beauty industries High proficiency in data integration package High proficiency in Snowflake/GCP Experience in streaming integration development Cloud development experience (e.g., AWS, Azure) Strong proficiency in SQL Able to design and implement relational data models Good understanding of DevOps and Agile way of working Eagerness to contribute to a team-oriented environment Ability to work creatively and analytically in a problem-solving environment Excellent leadership, communication (written and oral) and interpersonal skills Roles and Responsibilities: Work in interdisciplinary teams that combine technical, business, visualization, and data science competencies Design and implement solutions around data warehouse implementation ranging from architecture, ETL processes, multidimensional modelling, and data marts implementation Integrate datasets and dataflows using a variety of best-in-class software as well as profile and analyze large and complex datasets from disparate sources Develop scheduling scripts or configure load schedules Design and run unit tests Perform bug diagnosis and fix Migrate code between development and test environments Participate in support of the development environment Self-started who can adapt to change in technology independently Qualification Any Graduation

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