Data Collection Agent Job at Instawork (Bengaluru)

Master data agent

Invitation to a Career Transformation: building regional capabilities in Poznan....

Location

Poland , Poznań

Salary:

Not provided

Randstad

Expiration Date

June 30, 2026

Requirements

High school diploma or equivalent
One to two years of experience in customer service, order-to-cash, data management, or a related role
Experience with Microsoft 365
SAP knowledge is an advantage
French C1
Polish B2
English B2
Strong communication and interpersonal skills
Attention to detail and ability to work collaboratively with cross-functional teams
Adaptability and cross-cultural competence

Job Responsibility

Collecting essential information including contact details and business data
Enriching master data records with critical information for customer classification and order-to-cash flow
Maintaining and updating customer records in company systems to ensure accuracy and completeness
Collaborating with sales and internal departments to support customer onboarding and data integration
Ensuring compliance with data protection regulations and company policies in all master data processes
Generating and analyzing reports on data accuracy and classification to support business decisions
Driving continuous improvement of data quality and identifying opportunities for automation
Managing customer master data including creations and changes for payer, sold-to, and ship-to entities
Handling vendor extensions and maintaining salesmen and customer tables
Managing material master data including creations, governance, and customer material info records

What we offer

Stable employment based on a permanent employment contract
Hybrid model with 3 days remote work and 2 days in the office after a 3-month onboarding period
Flexible schedule with start time between 7:00 AM and 10:00 AM
Competitive salary
Performance-based semi-annual bonus
Dynamic career development and vast opportunities
Additional day off for health and preventive examinations
Co-financing for training & studies after 1 year of working
Lunch vouchers
Life insurance with option to extend coverage to spouse and adult children

Fulltime

New

AI Engineer (Commercial & MTO)

We are currently seeking a AI Engr (Commercial & MTO) to join our team in Dallas...

Location

United States , Dallas

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

7+ years of advanced coding skills in Python, SQL, and Java/Scala. Proficiency in ML frameworks like PyTorch or TensorFlow, and frameworks for building workflows like LangChain. 5+ years of experience deploying models using cloud platforms such as AWS, Azure, or Google Cloud (GCP), along with CI/CD pipelines. 5+ years of ability to explain complex AI outputs to C-suite executives and non-technical stakeholders to influence commercial decision-making. Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a closely related quantitative field.

Job Responsibility

Commercial AI Strategy: Collaborate with business leaders and product managers to map organizational challenges to high-impact AI/ML use cases
Model Deployment & API Integration: Transform trained machine learning models into robust, scalable, production-ready APIs that integrate seamlessly with enterprise systems
Workflow Automation (MTO): Build multi-agent AI systems, workflows, and Retrieval-Augmented Generation (RAG) architectures to optimize Make-To-Order (MTO) production pipelines and e-commerce supply chains
Data Pipelines & Ingestion: Develop and manage infrastructure to collect, clean, and transform unstructured data for AI model consumption
Performance Monitoring: Maintain and continuously optimize deployed models for accuracy, reliability, and cost-efficiency in live production environments

Fulltime

New

Senior Analytics Consultant

Location

United States , Charlotte

Salary:

Not provided

Wells Fargo

Expiration Date

June 22, 2026

Requirements

4+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Proven ability to develop, validate, and maintain forecasting and predictive models that support operational planning and decisioning (e.g., inventory projections, roll-rate/flow models, recovery forecasting, capacity/staffing planning, and scenario analysis)
Strong hands-on experience with Python-based analytics and automation workflows working with large, complex datasets
advanced SQL proficiency required (SAS, Teradata, Snowflake)
Demonstrated experience performing data discovery, source-to-target analysis, and building reusable data transformations (e.g., standardized metrics, dimensional models, or curated analytical datasets) with strong attention to data quality and lineage
Familiarity with machine learning, NLP, and applied AI techniques, and the judgment to apply them selectively to collections operations problems (e.g., text mining of agent notes, classification/prioritization, segmentation, and anomaly detection)
Strong statistical foundation and practical experience with disciplined evaluation (back-testing, holdout validation, stability and sensitivity testing, and uncertainty quantification), with a focus on producing reliable and explainable outputs for business use
Strong communication and consulting skills, with the ability to translate analytical results into clear recommendations, trade-offs, and measurable business outcomes for both technical and non-technical stakeholders
Preferred: domain knowledge in unsecured lending collections and recovery (delinquency management, treatment strategies, customer contact operations, loss mitigation, and operational KPIs)
Ability to travel up to 10% of the time

Job Responsibility

Lead hands-on data discovery and domain data capture across unsecured lending collections operations, partnering with business and technology teams to identify source systems, define critical data elements, and establish fit-for-purpose datasets
Design, develop, and enhance forecast models that support staffing/capacity planning, treatment strategy evaluation, and inventory projection
quantify uncertainty and scenario impacts to inform planning decisions
Explore, profile, and analyze large-scale collections and recovery data (e.g., accounts, payment behavior, delinquency/roll rates, treatment strategies, contact outcomes, operational capacity, and agent performance signals) to surface actionable insights and decision opportunities
Own the end-to-end analytics lifecycle for prioritized use cases—including problem framing, requirements definition, data preparation, and data analysis output
Translate collections and recovery business logic (policies, treatment paths, segmentation, and operational constraints) into technical specifications and scalable implementations (SQL/Python workflows, reusable data transformations, and production-ready metrics)
Build and automate risk identification signals for operational decisioning (e.g., early-warning indicators, drift detection, emerging loss pockets, operational bottlenecks), and integrate outputs into business routines and dashboards
Leverage machine learning, NLP, and AI techniques where appropriate to enable scalable automation—such as text mining of notes, disposition narratives, or correspondence
classification and prioritization
clustering and segmentation

Fulltime

!

New

Supply Chain Specialist

At Boeing, we innovate and collaborate to make the world a better place. We’re c...

Location

United States , Hazelwood

Salary:

90100.00 - 121900.00 USD / Year

Boeing

Expiration Date

June 22, 2026

Requirements

3+ years’ experience in asset management
3 + years’ experience in Supplier Management/Procurement as a Purchasing Agent or Buyer, Supplier Program Manager, Supply Chain Management Analyst/Item Manager, or Supply Base Manager?
3 + years’ experience working with supply chain management software? For example: ERP, MRP, Epicor SCM or Oracle SCM, etc
3 + years’ experience with GOLD
3 + years’ experience with Microsoft Office Products like Outlook, PowerPoint, Excel, and Word

Job Responsibility

Provide status reports, briefs, and metrics relating to performance and mission readiness
Ensure timely Procurement Requisition creation in SAP to meet urgent requirements
Work closely together with supply chain counterparts to ensure execution of needed procurements
Conduct Risk, Issue and Opportunity management
Maintain a record of demands and situations that arise to help with future demand planning
Collaborate and support ILS team members in site shipment arrangements/execution
Participate in system improvement transition initiatives for inventory management
Review bottlenecks across the business in order to adjust forecasting and supply planning
Coordinate to ensure current supply status and contract commitments meet program schedules and plans
Manage stock shortages and spares demands with stakeholders, suggesting risk mitigation strategies and working with Boeing stakeholders to avoid operational impacts

What we offer

competitive base pay and variable compensation opportunities
health insurance
flexible spending accounts
health savings accounts
retirement savings plans
life and disability insurance programs
paid and unpaid time away from work
generous company match to your 401(k)
industry-leading tuition assistance program pays your institution directly
fertility, adoption, and surrogacy benefits

Fulltime

!

New

Collections Agent

We are looking for a Collections Agent to join a team in San Diego, California i...

Location

United States , San Diego

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Ability to work effectively in a call center environment with frequent inbound and outbound phone activity
Basic computer proficiency with the ability to enter data accurately and navigate account systems efficiently
Strong verbal and written communication skills with a detail-oriented and empathetic approach
Solid organizational skills and a consistent focus on accuracy, confidentiality, and integrity
Customer service mindset with the ability to handle sensitive financial discussions calmly and respectfully
Comfortable working independently while also contributing to a collaborative team environment
High school diploma or equivalent is preferred

Job Responsibility

Speak with customers by phone to review outstanding balances, clarify account information, and discuss available resolution options
Arrange practical repayment solutions, including settlements, payoff terms, and scheduled payment plans based on account needs
Record complete and accurate notes from each conversation while updating account details in the system
Draft and send collection-related correspondence using approved templates and established communication standards
Handle outgoing mail activities to ensure notices and supporting documents are prepared and distributed on time
Manage a steady volume of inbound and outbound calls while maintaining accuracy, professionalism, and courtesy
Provide service-oriented communication during difficult conversations and represent the organization in a respectful manner
Support additional collection and administrative tasks as needed to meet team and business goals

What we offer

Medical, vision, dental, and life and disability insurance
Company 401(k) plan
Free online training
Access to top jobs and competitive compensation

New

UI/UX Designer (Senior)

Lead 1-3 projects (max. based on the need) on your own across web, SaaS, and mob...

Location

Bangladesh , Dhaka

Salary:

Not provided

Musemind

Expiration Date

Until further notice

Requirements

Hard Skills: Expert in Figma: auto-layout, components, tokens, advanced prototyping, and constraints
Build design systems from scratch
Advanced Photoshop and Illustrator
UX research and audits
Conversion rate optimization, accessibility, and developer handoff
AI workflow design: build a repeatable multi-step AI workflow for a design process and train juniors to use it
Advanced AI prompting: use multi-step prompts, system prompts, and agent workflows to automate repeat design tasks fast
AI-assisted prototyping: use AI code tools to build small working prototypes faster and raise the quality of what clients see
AI tool evaluation: check new AI tools often, write short comparison notes, and bring suggestions to the Design Manager
Soft Skills: Have an adaptive mindset

Job Responsibility

Lead 1-3 projects on your own across web, SaaS, and mobile
Collect project needs with the Design Manager and presales team
Run research, information architecture, personas, and card sorting
Build design systems from scratch
Mentor and lead the design team
Present designs to clients with clear reasons
Know what each client wants from interactions and animations
Drive accessibility, conversion rate optimization, and clear, measurable design results
Build strong team culture and trust
Push the team to use AI

What we offer

Salary: Negotiable + Commission (Variable)
Two weekly holidays
Full subsidized lunch and snack facilities
Yearly salary review
Two festival bonuses
Professional development opportunities (courses, tools, certifications)
A creative, design-first, and collaborative work environment
Team hangouts and sports activities (Table Tennis, Foosball, indoor games)
Health insurance benefit after completion of 1 year
Long Service Benefit

Fulltime

New

AI Machine Learning Scientist

The AI Machine Learning Scientist plays a critical role in enabling the responsi...

Location

United States , Richmond; Tampa; Atlanta; Indianapolis

Salary:

Not provided

Elevance Health

Expiration Date

June 26, 2026

Requirements

Requires a Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent degree and 4 or more years of experience
or any combination of education and experience in configuration management, which would provide an equivalent background.

Job Responsibility

Design, develop, and deploy AI/ML and Generative AI solutions that address business and operational challenges at enterprise scale
Develops and maintains infrastructure systems that connect internal data sets
creates new data collection frameworks for structured and unstructured data
Develop reusable AI capabilities including RAG pipelines, vector search, semantic retrieval, prompt orchestration, and agentic workflows
Implement evaluation frameworks and automated testing strategies to measure model quality, accuracy, bias, safety, and performance
Establish monitoring, observability, and governance processes to ensure AI systems remain reliable and compliant in production
Drive adoption of Responsible AI practices by implementing evaluation standards, audit-ready documentation, and model governance controls
Optimize AI systems for scalability, latency, reliability, and cost efficiency.

What we offer

Merit increases
paid holidays
Paid Time Off
incentive bonus programs
medical, dental, vision, short and long term disability benefits
401(k) +match
stock purchase plan
life insurance
wellness programs
financial education resources

Fulltime

New

Senior Data Science Consultant - Enterprise Complaints, Remediations & Loudspeaker

Wells Fargo Enterprise Complaints, Remediations and Loudspeaker Analytics (ERA) ...

Location

United States , Chandler; Charlotte; Irving; San Antonio; Shoreview; West Des Moines

Salary:

119000.00 - 206000.00 USD / Year

Wells Fargo

Expiration Date

June 19, 2026

Requirements

4+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Job Responsibility

Lead hands-on Generative AI experimentation, including prompt engineering, prompt library development, and agent-style workflows that support voice-of-customer understanding, issue identification, and decision support
Design and execute systematic testing of LLM outputs across large collections of historical customer interaction data, evaluating behavior across tasks, data conditions, and edge cases
Conduct deep error analysis of GenAI outputs, identifying hallucinations, weak or missing evidence, false positives, false negatives, and ambiguity, and translate findings into targeted prompt and system improvements
Develop and apply GenAI evaluation frameworks, including rule-based heuristics, statistical indicators, and LLM-as-a-Judge techniques, to assess output quality, consistency, and risk
Build and refine confidence and uncertainty scoring mechanisms for LLM decisions to support prioritization and secondary human review in higher-risk scenarios
Apply machine learning and NLP models where appropriate to complement GenAI solutions, such as feature extraction, classification, clustering, or signal generation
Analyze complex structured and unstructured datasets to generate hypotheses, surface emerging risks, and identify opportunities where GenAI can augment or automate decision workflows
Collaborate closely with product teams, engineers, and business stakeholders to align GenAI experimentation with operational workflows, risk tolerance, and real-world constraints
Produce clear documentation of prompts, experiments, evaluation methods, and findings to ensure transparency, repeatability, and knowledge sharing
Communicate GenAI behaviors, trade-offs, limitations, and risks effectively to non-technical stakeholders, helping set appropriate expectations for usage

What we offer

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement

Fulltime

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Data Collection Agent

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