821 Data Mining Jobs - Page 6

Description Generate business through cold calling, via telephone and other electronic media viz: Linked-In, Databases, web-promotion etc. To identify & understand the clients need & offer the best service & solution. Tapping new customers from existing & new databases through cold calling /data mining. Generate viable orders from new accounts. Setting Appointment with Key Decision Makers. Execute complete sales order process. Requirements Experience in tele-calling and inside sales process of minimum 2 years. Well Versed with IT Infrastructure & Networking Products. Excellent verbal and written communication skills. Ready to accept target based job responsibility. Willing to work as individual and team member.

Location(s): Quay Building 8th Floor, Bagmane Tech Park, Bengaluru, IN Line Of Business: ROC(ROC) Job Category: Corporate Services Experience Level: Experienced Hire Skills and Competencies Problem-solving and stakeholder collaboration: Strong analytical and problem-solving skills to identify data anomalies and in-efficiencies with the ability to collaborate cross functionally to drive common consensus. Data Quality : Expertise in assessing, monitoring and improving data quality by data validation rules and issue resolution of operational processes to ensure accuracy, consistency and compliance. Data Analysis/Mapping: Proficient in SQL for data extraction, analysis and mapping, experience with Data Profiling, ETL and Data Reporting tools a plus. Alteryx/Databricks for workflow automation and data preparation and Power BI for creating dashboards and reports to drive data-driven decision-making. Documentation and data governance: Proficient in developing and maintaining comprehensive documentations including standard operating procedures, data dictionaries, data mapping related to regulatory reporting reports and feeds 3-5 years of Business/System/Data Analyst experience into data management and/or data quality (knowledge of database structures, data lineage mapping, data governance reporting, data mappings, process flows, conceptual data modeling, among others.) Experience collaborating with customers and/or users to understand data requirements, use cases and working with unstructured data along with Master Data Management and Data Governance tools such as DBeaver, pgAdmin, Access, Collibra. Proficiency in MS Excel (VBA, macros, VLookups etc.), SQL, Word, and PowerPoint are required. JIRA, and Agile methodology experience a plus. Self-starter and team player with ability to meet tight deadlines and balance multiple, competing priorities Education Undergraduate BA/BS degree in Business, Finance, Technology, Engineering, or related field is required. Certifications: (Preferred but not mandatory) SQL Certification (Microsoft SQL Server, Oracle SQL, or Google Data Analytics), Alteryx Designer Core or Advanced Certification, Databricks Certifications, Responsibilities The data analyst role will be responsible for maintaining data accuracy, data lineage, identifying data quality issues, patterns, and anomalies to ensure data accuracy and completeness in reports/feeds. This role will also facilitate the process of working with the Report Owners, Technology, and other teams (e.g., ODC, Compliance, Government and Public Affairs, Legal, MIT, etc.) to ensure the accuracy and quality of regulatory report data and ways to automate data validation tasks. Operationally manage data quality issues to determine root cause/deep dive analyses and manage remediation efforts in collaboration with sources providing the data. Identify areas for data quality improvement and help to resolve data quality problems through the appropriate choice of error detection and correction, process controls and improvement, or process design strategies. Work on data mining, data cleansing, reconciliation, and data maintenance activities with stakeholders for the regulatory reporting function. Develop and demonstrate Subject Matter Expertise on Regulatory Reporting assets as well as Policies, Procedures and Guidelines. Perform data lifecycle analysis including data profiling, requirements gathering and documenting, data mappings, process and data design flows, data quality controls input, creating automated business rules and testing assistance. Participate in the definition of data concepts, common reference data and establish sound data usage practices with relevant partners. Responsible for ensuring data s quality and fitness for purpose of the organizations regulatory reporting data assets, including working with Tech teams for storing the metadata for those data assets. Develop and maintain Standard Operating Procedures (SOP), update and manage data dictionary and other related data in Collibra and ensure adherence to data governance standards. Define, document, and manage business and data requirements and data mappings & collaborate with key stakeholder cross-vertically and globally to support MIS strategy and activities. Our Regulatory Reporting - Data Quality team is responsible for upholding the highest standards of data accuracy, consistency, completeness, and reliability, ensuring that Moody s Ratings data is proactively managed and delivered in our regulatory reports and feeds. By joining our team, you will be part of exciting work in Ratings & Operations Regulatory Reporting in Bengaluru. Our Global Ratings Operations & Controls (ROC) team is seeking a Data Quality Analyst to assist in data improvement initiatives across the ROC Regulatory Reporting function. They will work closely with cross-functional teams that adopt Agile operating methods.

Job Summary: We are looking for a talented candidate who has good inclination for developing his/her career in sales and marketing. Position Type: Full-Time Experience Level: Fresher Qualifications: Any Graduate Responsibilities: Web research from different platforms as per the company strategy defined by the company. Identify prospects and key contacts using various data platforms and maintain them on google sheets. Search for missing data and collect through various websites Maintain and update Database using CRM or google sheets Requirements: Must be proficient in MS Office including Word, Excel, and Outlook Should be ready to work from office, full time Basic English is must. Fluency is advantage.

Elections Data Researcher: Reuters is looking for a journalist orresearcherwith some experience ofdata collection and verificationto begin work immediately on an exciting new project for our global clients. Thehirewill collectpublicly availableinformation aboutcurrentgovernment office holders,such as their names, titles and links to their social media accounts.The work comprises collecting an initial set of data and then updating itas countries and constituencies go to the polls.There may also be an opportunity to work on other projects.The job would suit a recent graduate or someone with up to two years' experience. About the Role As a Data Researcher at Reuters , you will: Collect data related to a particularoffice holder or political candidate such as- social media accounts, official website, public contact details, date officeholder took office, and other similar attributes. Contact political parties to gather political party logos, party colors and party abbreviations and upload them to a webpage. Provide ongoing monitoring of the data collected Monitor news for big eventsaffectingofficeholders in several countries Work with others in the Reuters bureau to share information About You: To be our Data Researcher , you will likely have: 1-2 Years of experience Fluent English A University Degree Keen eye for detailand accuracy Knowledge of US politics Ability to use tools for monitoring the web such as Google Alerts A sense of urgency andstrongcommunication skills It would be helpful (but not essential), if you also have experience performing data collection or data validation\ #LI-BD1 Whats in it For You At Reuters, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth Global Career: As a global company, we can offer a truly international career and progression opportunities. Learning & Development On the job learning and coaching. We also have a dedicated training team focused on the continuous development of our journalists. Industry Competitive Benefits: We offer competitive salary packages and market leading benefits including paid volunteering days. Perks: Work alongside Pulitzer Prize-winning journalists and a team who provide unmatched, award-winning coverage of the worlds most important stories. About Reuters Reuters is the worlds largest multimedia news provider. Founded in 1851, it is committed to the Trust Principles of independence, integrity and freedom from bias. With unmatched coverage in over 16 languages, and reaching billions of people worldwide every day, Reuters provides trusted intelligence that powers humans and machines to make smart decisions. It supplies business, financial, national and international news to professionals via desktop terminals, the world's media organizations, industry events and directly to consumers. About Thomson Reuters Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half abillion Indians and bring them to the mainstream economy with the help of technology. About the role : Evangelize and demonstrate the value and impact of analytics for informed business decision-making by developing and deploying analytical solutions and providing data-driven insights to business stakeholders to understand and solve various business nuances. Responsibilities : 1. The role involves working closely with Product and Business stakeholders to empower data-driven decision-making and generate insights that will help grow the key metrics1. 2. Writing SQL/HIVE queries for data mining 3. Performing deep data analysis on MS Excel and sharing regular actionable insights 4. Responsible for performing data driven analytics to generate business insights 5. Automating the regular reports/MIS using tools like HIVE, Google Data Studio and coordinating with different teams 6. Strongly follow-up with concerned teams to make sure that our business & financial metrics are met 7. Look at data from various cuts / cohorts to suggest insights - Analysis based on multiple cohorts - Transaction, GMV, Revenue, Gross Margin, users etc. for both offline & online payments Mandatory Technical Skills needed - 1. Distinctive problem solving and analysis skills, combined with impeccable business judgment. 2. Proficient in SQL/HIVE/Data Mining & Business Analytics - Proficient in Microsoft Excel. 3. Derive business insights from data with a focus on driving business level metrics. Eligibility Criteria : 1. Minimum 2 years of experience as Data Analyst / Business Analyst. 2. Ability to interact and convince business stakeholders. 3. Hands on with SQL (sub-query and complex query), Excel / Google Sheets, and data visualization tools (Looker studio, Power BI). 4. Ability to combine structured & unstructured data. 5. Worked on large datasets of the order of 5 Million 6. Experimentative mind-set with attention to detail. Compensation : If you are the right fit, we believe in creating wealth for you With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India's largest digital lending story is brewing here. It’s your opportunity to be a part of the story!

REPORTS TO: VP, Product Management DIRECT REPORTS: No POSITION OVERVIEW The Sr Research Engineer plays an important role in research projects in areas such as Artificial Intelligence, Machine Learning, Optimization and various mathematical algorithms to solve supply chain problems. Sr Research engineer also develops mathematical models and prototypes to confirm the value and potential business value quantification. RESPONSIBILITES: Responsible for defining and prototyping mathematical, optimization, machine learning models for select supply chain problems. Define and develop data mining techniques, and building proof of concepts. Study and keep current on supply chain, mathematical and industrial research related to supply chain and identify areas for research evaluations reflecting customer and industry trends to influence strategic direction of the product. Demonstrate thought leadership with key strategic customers and demo proof of concepts to validate business impact. Help Product Managers with analysis of functionality requirements and suggest mathematical models to represent them. Design and develop new algorithms for the products. Write product specifications for development team for incorporating algorithms and mathematical models into products for general availability. Other tasks and activities as assigned. QUALIFICATIONS AND EXPERIENCE: M.S./Ph.D. degree in a mathematical/statistical, computer science, and/or operations research. Solid optimization (e.g., linear programming), machine learning, mathematical and statistical foundation. Must have 2+ years working experience in computer programing and AI/ML. Must have database and current technology expertise. Proven problem-solving, critical thinking, negotiation, and decision-making skills. Excellent interpersonal and communication skills. Post-doctoral experience, University Professorship in Mathematics or related discipline, Supply chain research is preferred. PHYSICAL REQUIREMENTS: General office environment and responsibilities requiring: Extensive use of the computer which involves viewing a monitor and keyboarding for most of the workday. Placing and receiving phone calls May require travel as needed.

Some careers have more impact than others. If you re looking for a career where you can make a real impression, join HSBC and discover how valued you ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Manager - Decision Sciences Principal responsibilities The role holder is expected to perform on the following aspects: Apply innovative thinking and analytical techniques including data mining / modeling techniques as applicable to build regulatory models (Basel pillar 1 IRB models) and model implementation in Python Coordination with internal (within GRA) and external (front line business, regulatory oversight teams, etc. ) stakeholders to understand the requirement of the project and delivery and stick to path of regulatory compliance. Identify areas which require data remediation and proactively engage with internal / external stakeholder to address them. Clear documentation / summarization of the analytical output. Overall model risk management. Promote collaboration with Group and Regional teams to achieve business objectives. Support training and participate in technical workshops to enhance overall teams relevance in the industry. Engage with team leads, senior management, project owners and project sponsors as well as model reviewers and approvers to get best output at the first attempt. Requirements Experience 4+ years of experience in banking domain / regulatory risk analytics/ capital management Hands-on experience on at least one regulatory model development/implementation in python environment would be preferred. Prior experience in risk management, regulatory risk model development/implementation, model risk management would be preferred. Understanding of commercial banking and wholesale related products would be preferred Masters in any numeric discipline Stats/Maths, Engineering (or B-tech with relevance experience), Economics, MS / MBA in Finance. Highly focused on project delivery, attention to detail Excellent written and verbal communication skills Hands-on statistical knowledge with scorecard /econometric model development capability Strong collaborative, influencing and team building skills. Strong analytical and problem solving skills, open minded, flexible, pragmatic Strong documentation and summarizing skills for senior audiences Strong programming skills in Python/SAS and experience of working with large volume of data Willing to work with colleagues in other areas/time zones where appropriate You ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc. , We consider all applications based on merit and suitability to the role. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

Cronbay Technologies is hiring a Pre-Sales Executive in Whitefield, Bangalore (On-site). 5-day work week. Salary up to 3.6 LPA. 6 months1 year experience in pre-sales required. Strong communication & presentation skills a must. Annual bonus Health insurance Provident fund

Cronbay Technologies is hiring a Pre-Sales Executive in Whitefield, Bangalore (On-site). 5-day work week. Salary up to 3.6 LPA. 6 months1 year experience in pre-sales required. Strong communication & presentation skills a must. Annual bonus Health insurance Provident fund

Role Description Reconciliation Transformation Program has a requirement for a project lead/business analyst to support the continuous improvement work stream within CB&S-GTO for building and on-boarding reconciliations onto strategic recon platforms. The SME is responsible for working within the information Transformation group, participating in a team responsible for report generation and data analysis utilizing database management software/tools against various database platforms. In this role you will assist in the development of automated reports, analytical and management reports, and data definitions across multiple computing environments. You will develop technical expertise in data mining and report development methodologies, techniques and tools to ensure deliverables meet the needs of both internal and external business customers. Manage escalations and ensure resolutions on or before time. Plan and manage risks and detail mitigation strategies. Your key responsibilities Managing several concurrent projects all the streams in scope of the program Creation of continuous improvement projects BOW within Reconciliations, Network Management and Financial Market Infrastructure Responsibility for the on-time delivery of projects to time and cost Manage scope of deliveries, manage expectations and ensure clear and concise communication to sponsors, team members and Transformation Lead Project tracking for the related work stream Risk and issue management. Interface with upstream data providers, both in terms of development deliverables and issue escalation Work closely with the Program Manager and program team to ensure on time delivery of Projects. Proactively question and challenge processes and key stakeholders to identify areas of potential inefficiency. Maintains customer focus, provides value addition to stakeholders and ensures prioritization of tasks to manage costs; works collaboratively with all parties to resolve potential conflicts. Drafting and reviewing critical project documents like BRD [Business Requirement Doc], SOP [Standard Operating Procedure], various MIS reports by liaising with Business Operations and Technology teams Establish, monitor and run governance around business reconciliations with respect to production status monitoring, exceptions handling, process/regulation adherence, information collation, presentation and reporting Stakeholder management across board with multiple business operations, technology teams and vendors Reporting on overall program status, outstanding milestones, Issues, risks and dependencies. Your skills and experience Skills Knowledge on performing feed analysis for upstream and downstream settlement systems Expertise in building matching rules/logic on Reconciliation Platforms Demonstrable adherence to the Banks Values and Beliefs Strong Process/ change management experience with an exposure to control practices Six Sigma Black Belt and Lean certified (Not Mandatory) Inquisitive and probing approach to problem solving and general assessment Ability to work well under pressure in a fast-paced environment and always with professionalism Strong ability to identify process efficiencies, suggest improvements and implement where feasible Good verbal and written communication skills with experience of reporting to senior management Good ability to interact with, collaborate, communicate, and influence individuals at all levels Ability to be open minded, share information, transfer knowledge and expertise to team members Ability to work in an independent capacity without supervision Good to have functional/fundamental knowledge of reconciliations various business lines/products related to Fixed Income/Listed Derivatives/ Margin/Treasury/ KYC Ops Good to have working/fundamental knowledge of reconciliation tools like TLM/DUCO etc. Good to have working/fundamental knowledge of visual representation tools like Tableau Good presentation skills reporting and classroom sessions Experience: Hands on experience on strategic reconciliation tools like DUCO and TLM (preferred) Minimum 8 years of Investment Banking (Operations) experience with familiarity of International and domestic financial instruments 3+ years of Reconciliations knowledge (Inter-System and Nostro/Depot reconciliations) and working on change the bank/financial industry projects. Excellent knowledge of Control & Admin (Core Reconciliations) 3+ years project and programme delivery, preferably on platform migrations Ability to work independently & deliver in demanding environment to meet the set target. Team player, highly motivated, practical problem solver Masters Degree level education preferred (Not Mandatory) Ability to meet commitments and deadlines whilst maintaining peerless quality.

Job Title : Team Lead Legal Document Review Location: Mohali, Punjab Experience Required: 2 to 4 years as a Document Reviewer/QC, with prior experience assisting in project/team management Job Role: Full time and onsite Company Headquarter: London About the Role: We are seeking a detail-oriented and proactive Team Lead (Legal) to join our Document Review and Data Breach Response team in Mohali. This role involves managing a team of legal professionals engaged in first and second-level document reviews, subjective coding, redfern request handling, and data mining. The Team Lead will act as a vital link between the reviewers and the Project Management team, ensuring productivity, quality control, and smooth project execution. Key Responsibilities: Lead and manage a team of 15-20 document review and data breach specialists. Oversee various types of reviews including: First-level review: Tagging documents for responsiveness, relevance, and privilege. Second-level review: Validating prior tags and redfern request handling. Subjective coding: Applying issue codes as per client specifications. Data mining: Assisting in extraction and categorization of relevant information. Collaborate with Project Managers (PM) and Assistant Project Managers (APM) to provide inputs on keyword searches and validation methods. Handle review queries, maintain query logs, and escalate unresolved issues to APM/PM. Conduct daily briefing sessions and communicate updates received from counsel to the review team. Perform stratified random sampling and Quality Control (QC) on reviewed/extracted data. Track individual reviewer productivity and ensure adherence to project deadlines and quality benchmarks. Provide refresher trainings and continuous performance feedback to team members. Requirements : Bachelor's degree in Law (LLB or equivalent). 2-4 years of hands-on experience in document review and QC processes. Proven ability to assist or partially manage teams and legal projects. Strong understanding of review platforms and tagging protocols. Excellent communication, query handling, and interpersonal skills. Strong attention to detail and ability to manage high-volume projects under strict timelines. Familiarity with data breach review processes and client confidentiality requirements is a plus. Why Join? ISO-certified & officially recognized as a Great Place to Work Competitive compensation with ample learning opportunities 5-Day Work Week (Monday to Friday) Inclusive and growth-focused work environment Comprehensive Benefits Package, including: Employer-paid medical insurance for self, spouse, and two children Personal accident and term life insurance Generous paid vacation, public holidays, and sick leave Parental Leave for new parents Employee Assistance Program (EAP) offering confidential support services Retirement benefits including Provident Fund and Gratuity Interested candidates can share their details-CV at career@huntingcherry.com or connect at 8351077725 ( for queries)

About The Role Wholesale Banking Team Member- Corporate Salary Grade M5 Job Role Coverage meeting - tracking of meetings at all levels along with senior team pan Kotak Monitor 50 top corporates every quarter and monitor monthly conversionsin WBG segment and another 25 accounts inSME Targeting 5 top groups with a potential to give 10,000 accounts each Categorisation of companies/ leads regularly and pursue the hot leads Timely actionables on key asks for each corporatehelp in customisation of product offering along with each business vertical Ensure regular review fortnightly for each business and follow up on actionables Monitoring, formulating strategy for high value CFO and CXO etc. Driving salary team for closures Monitoring RM level KRA - Scorecard for each RM across various business divisions monthly release Monitoring engagement activities done for various companies Data mining thru analytics and pushing low penetrated companies RM incentivisation activities Ensure every structured transaction and large value deals - salary is mandated

The role of the Sub Same Day business is to provide ultrafast speeds (2 hour and same day scheduled) and reliable delivery for selection that customers fast. Customers find their daily essentials and a curated selection of Amazon s top-selling items with sub same day promises. The program is highly cross-functional in nature, operations intensive and requires a number of India-first solutions to be created, which then need to be scaled WW. In this context, SSD is looking for a talented, driven and experienced Business Analyst It is a pivotal role that will contribute to the evolution and success of one of the fastest growing businesses in the company. Joining the Amazon team means partnering with a dynamic and creative group who set a high bar for innovation and success in a fast-paced and changing environment. The Business Analyst is responsible for being able to influence critical business decisions using data and providing insight to category teams to be able to act. The successful candidate needs to have : A passion for numbers, data and challenges. High attention to detail and proven ability to manage multiple, competing priorities simultaneously. Excellent verbal and written communications skills. An ability to work in a fast-paced, complex environment where continuous innovation is desired. Bias for action and ownership. A history of teamwork and willingness to roll up one s sleeves to get the job done. Ability to work with diverse teams and people across levels in an organization Proven analytical and quantitative skills (includes the ability to effectively use tools such as Excel and SQL) and an ability to use hard data and metrics to back up assumptions and justify business decisions. Key Responsibilities Influence business decisions with data. Use data resources to accomplished assigned analytical tasks relating to critical business metrics. Monitor key metrics and escalate anomalies as needed Provide input on suggested business actions based on analytical findings. 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

Role Summary: We are looking to hire a Data Analyst who will help our teams make data backed decisions by doing data analysis, KPI reporting and data visualization. To do well in this role you need a very fine eye for detail, experience as a data analyst, and deep understanding of the popular data analysis tools and techniques. Key Responsibilities: Interpret data, analyze results and provide ongoing reports. Develop analytics dashboards KPI reporting for different verticals Acquire data from primary or secondary data sources and maintain databases/data systems. Work with different departments on their data visualization and analysis needs Taking out meaningful insights from the data Desired Skill & Requirements Technical expertise regarding data models, database design development, data mining and segmentation techniques. Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, Python, SQL, R). Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy. Adept at queries, report writing and presenting findings. Good written and verbal communication skills. Experience on techniques like - A/B Testing, ANOVA, Probability Distributions, Regression Analysis Ability to work with large amounts of data Experience : 1 to 3 years of relevant experience in data analysis. Should have 2 years of experience in SQL. Product Company background and startup experience is a plus. Education : A full time Bachelors degree from a recognised university.

We are looking for a highly skilled and analytical Data Scientist to join our team. You will be responsible for analyzing large datasets to extract actionable insights, build predictive models, and support data-driven decision-making across the organization. The ideal candidate should be passionate about data, statistical analysis, and applying machine learning techniques to solve real-world business problems. Key Responsibilities: Collect, clean, and preprocess large datasets from multiple sources. Analyze complex data sets to identify patterns, trends, and opportunities. Design and implement machine learning models to solve business challenges. Communicate findings through data visualizations, dashboards, and reports. Collaborate with cross-functional teams (engineering, product, marketing) to implement data solutions. Monitor and maintain model performance and retrain when necessary. Stay updated on the latest developments in AI/ML and data science tools. Required Skills and Qualifications: Bachelors / Masters/Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field. Strong proficiency in Python or R, along with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Experience with data querying languages such as SQL. Good understanding of statistical analysis, machine learning, and data mining techniques. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote

Company: Marsh Description: Mercer is hiring for below position for Gurgaon locationAnalyst Survey Administration What can you expectThis role is for the Data Analyst in the compensation consulting team What is in it for youThe position offers good career advancement opportunities, supported by training and professional development as well as access to the firms global network We will count on you to Client-related activities contact clients during the survey cycle, respond to client ad-hoc queries Support to the market consultants supports participation solicitation, data collection material distribution & follow-up on data submissions, datavalidation and closure of client queries with support from mentor, resolving results acess related issues and respond to ad-hoc queries Internal administrative tasks - update client participation database, ensure that all the documentation and record keeping are complete What do you need to have Graduate in any discipline Comes with 1 year of experience as a data analyst Good to have HR background Minimum 12 months experience as Analyst(B1)/Senior Analyst(B2) Should have at least On-Track or equivalent rating in last appraisal. Should not be under any Performance Counselling Plan or had any official disciplinary action within the last 3 months. Should not have applied for any other IJP in the last 3 months What makes you stand out Good understanding of various areas in HR Excellent interpersonal and communication skills Dynamic, motivated, flexible and result-oriented personality with the ability to perform under pressure Mercer believes in building brighter futures by redefining the world of work, reshaping retirement and investment outcomes, and unlocking real health and well-being. Mercers more than 20,000 employees are based in 43 countries and the firm operates in over 130 countries. Mercer is a business of Marsh McLennan (NYSEMMC), the worlds leading professional services firm in the areas of risk, strategy and people, with more than 85,000 colleagues and annual revenue of over $23 billion. Through its market-leading businesses including YOUR NEXT CAREER MOVEMarsh, Guy Carpenter and Oliver Wyman, Marsh McLennan helps clients navigate an increasingly dynamic and complex environment. For more information, visit mercer.com. Follow Mercer on LinkedIn and X. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person Mercer, a business of Marsh McLennan (NYSEMMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Analytics - Risk Product Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Role: We seek an experienced Assistant General Manager - Analytics for data analysis and reporting across our lending verticals. The ideal candidate will use SQL and dashboarding tools to deliver actionable insights and manage data needs for multiple lending verticals. A drive to implement AI to automate repetitive workflows is essential. Key Responsibilities: Develop, maintain, and automate reporting and dashboards for lending vertical KPIs. Manage data and analytics requirements for multiple lending verticals. Collaborate with stakeholders to understand data needs and provide support. Analyze data trends to provide insights and recommendations. Design and implement data methodologies to improve data quality. Ensure data accuracy and integrity. Communicate findings to technical and non-technical audiences. Stay updated on data analytics trends and identify opportunities for AI implementation. Drive the use of AI to automate repetitive data workflows. Qualifications Bachelor's degree in a quantitative field. 5-7 years of data analytics experience. Strong SQL and Pyspark proficiency. Experience with data visualization tools (e.g., Tableau, Power BI, Looker). Lending/financial services experience is a plus. Excellent analytical and problem-solving skills. Strong communication and presentation skills. Ability to manage multiple projects. Ability to work independently and in a team. Demonstrated drive to use and implement AI for automation. Preferred Qualifications Experience with statistical modeling and data mining. Familiarity with cloud data warehousing (e.g., Snowflake, BigQuery, Redshift). Experience with Python or R. Experience implementing AI solutions in a business setting Why Join us Bragging rights to be behind the largest fintech lending play in India A fun, energetic and a once-in-a-lifetime environment that enables you to achieve your best possible outcome in your career With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants - and we are committed to it. India s largest digital lending story is brewing here. It s your opportunity to be a part of the story!

Role: US IT Recruitment Min 10+ Years of experience in IT Recruitment Experience in US IT Recruitment is mandatory Technical Skills hired: Full Stack, Data Scientist, Data Mining, Data Governance, AI (Artificial Intelligence) etc Shift: UK (5:30pm to 2:30pm) Location: Bangalore (Whitefield) Immediate Joiners Only Call Anumeha @ 6376649769 Send resume to anumeha@manningconsulting.in

?Find a Career With Purpose at Teva ? Keyword ? Location ?Select how often (in days) to receive an alert: ? Finance Business Analytics ? Date:? Jun 9, 2025 ?Location: ?Bangalore, India, 560064 ? Company:? Teva Pharmaceuticals ? Job Id:? 62123 ? Who we are ? ? The opportunity ?In this position, you are part of the Finance GBS Team and work closely with the Internal GBS team, COE team, Global Controlling/Finance directors, Finance Leads and Supply chain team. ? How you ll spend your day ?Apply advanced statistical methods, machine learning, and data mining techniques to analyze data from various sources ?Explore data, identify patterns and trends, and create visualizations to communicate findings effectively to stakeholders ?Develop and maintain predictive models for various business areas, such as sales forecasting, inventory management, and customer behavior ?Collaborate with stakeholders to identify business problems, opportunities, and areas for improvement ?Design and implement analytical solutions to address business challenges, leveraging data to support decision-making ?Deploy analytical models and track their performance, as needed to ensure continued effectiveness ?Identify new opportunities to leverage data and analytics to drive business innovation and create competitive advantages? ?Ensure that analytical solutions are aligned with overall business strategy and objectives ?Effectively communicate findings and recommendations to both technical and non-technical audiences, including executive leadership and business stakeholders ?Work with other departments, such as IT, marketing, and operations, to ensure alignment and collaboration on projects ? Your experience and qualifications ?Bachelors and Masters Degree in Business, Computer Science, Information Systems, Engineering, Business/Administration, Education, Technical, Finance, MBA, Information Technology ?8+ years of experience ability to work independently taking a lead role ?Proficiency in relevant software and tools, such as SQL, Python, R, or Tableau ?Strong analytical and problem-solving skills ?Expertise in advanced analytics techniques, including machine learning, statistical modeling, and data mining ?Excellent communication and interpersonal skills ?Ability to manage multiple projects simultaneously and meet deadlines ?Experience in data modeling, data warehousing, and data governance ?Flexible and able to work in a changing environment ?Strong focus on improvement opportunities ? Reports To ?Assoc Dir Finance Operations ? Already Working @TEVA ? Internal Career Site ?The internal career site is available from your home network as well. If you have trouble accessing your EC account, please contact your local HR/IT partner. ? Teva s Equal Employment Opportunity Commitment ?Teva Pharmaceuticals is committed to equal opportunity in employment. It is Tevas global policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, sexual orientation, gender identity or expression, ancestry, veteran status, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws. We are committed to a diverse and inclusive workplace for all. If you are contacted for a job opportunity, please advise us of any accommodations needed to support you throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

Join us as a Decision Analyst at Barclays, where youll spearhead the evolution of our digital landscape, driving innovation and excellence. Youll harness cutting-edge technology to revolutionize our digital offerings ensuring unapparelled customer experiences. BUK Decision and Analytics team exist to harness the power of our data, using advanced analytics and data science, to deliver assets, that drive the performance of the bank, enabling smarter, faster, and more proactive decision making, and using information to transform the lives of our customers, colleagues, and the communities we live in, whilst protecting the sustainable advantage our data creates. This team gives an opportunity to work directly with business heads and influence their decision making through use of advanced analytics and data science to solve complex business problems. To be a successful Decision Analyst you should have experience with: Experience in data mining and building predictive machine learning models using both structured and unstructured data. Understanding of machine learning algorithms and their applications. Experience in Data science project life cycle from use case framing, data exploration, model building, deployment etc. Knowledge of Python SQL. Some other highly valued skills may include: Strong communication skills. Good in storytelling. Good at problem solving skills. You may be assessed on essential skills relevant to succeed in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. Job location of this role is Noida. Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems using domain expertise. Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools. Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams. Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them. Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users. Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy. Ensure all development activities are undertaken within the defined control environment. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

Perform data extraction from NIQ, Circana, Spins, and other retail and CPG sources to gather raw data for further analysis. Clean, organize, and validate data to ensure accuracy and completeness. Utilize Microsoft Excel, VBA, and SQL for data manipulation, analysis, and reporting. Collaborate with cross-functional teams to understand data requirements and deliver actionable insights. Generate and publish excel reports for further uses Apply knowledge of retail and CPG industries to enhance data analysis and reporting. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Bachelor's degree in Computer Application, Science, or relevant education. 1-3 years of experience in data acquisition & analysis or a related field. Proficiency in Microsoft Excel, Microsoft Office, VBA, SQL, and experience with NIQ, Circana, and Spins. Preferred technical and professional experience Strong analytical skills and attention to detail. Excellent communication and teamwork abilities. Ability to manage multiple tasks and meet deadlines. Experience in retail and CPG industries is preferred.

Product Development: Assist in the design, development, and implementation of software or hardware products. Write clean, efficient, and maintainable code for new and existing products. Participate in the end-to-end product development lifecycle, from requirement analysis to deployment. Testing and Debugging: Conduct unit testing and debugging of applications to ensure high-quality deliverables. Identify and resolve performance and functionality issues. Collaboration: Work closely with cross-functional teams, including designers, QA engineers, and product managers, to meet project goals. Participate in team meetings, brainstorming sessions, and code reviews. Learning and Development: Stay updated with the latest industry trends, tools, and technologies. Actively participate in training programs and knowledge-sharing sessions to enhance skills. Documentation: Prepare and maintain technical documentation for the developed features and modules. Required Skills and Qualifications Educational Background: Bachelors or Masters degree in Computer Science, Information Technology, Electronics, or a related field. Technical Skills: Strong knowledge of front-end technologies: ReactJs and Angular. Strong knowledge of back-end technologies: Java and Python. Strong knowledge of JavaScript; familiarity with TypeScript and Velocity scripting is a plus. Familiarity with databases: MongoDB, PostgreSQL, and MySQL. Experience with version control systems like Git. Exposure to AI, Agentic AI, AI/ML, Data Mining, and Data Analysis is a plus. Soft Skills: Strong problem-solving and analytical skills. Eagerness to learn and adapt to new technologies and processes. Excellent communication and teamwork abilities. Interested candidates can apply here or send their resume to [himadhaatri.natuva@kellton.com].

About Us Work with the World of Talent. Global, culturally diverse, inclusive, and innovative - welcome to AMS, where talent is our world. Over the last two decades, AMS has redefined the landscape of talent outsourcing and consulting. From pioneering the concept of RPO to continually revolutionizing how organizations approach talent acquisition, AMS stands as a world leader in the industry. Committed, engaged, and inspired, we feel a real sense of belonging, and all have one thing in common: a real passion for talent. Become part of this world and make a difference with us. https://www.weareams.com/ The Role At AMS, talent is our world and now, we're expanding that world with a fresh perspective. Our newly established Insights & Intelligence team is a global group of innovators and data experts, dedicated to revolutionising talent services through the power of data. Together, we uncover our clients' unique needs and translate them into actionable insights, empowering Talent Acquisition teams to excel. he Specialist Data Mining plays a key role in ensuring the availability and accuracy of comprehensive data sets by collecting, cleaning, and processing relevant client operational data, AMS aggregate data, external market data, and other trusted sources. This position is instrumental in enhancing data mining practices through the adoption of best practices, advanced technologies, and innovative techniques. Role & Responsibilities Implementing automation tools to streamline the data collection process and increase efficiency Following standardization guidelines, creates procedures for extracting data from identified sources, ensuring consistency and reliability. Conducting validation checks to confirm the integrity and accuracy of the cleaned data before it is made available for analysis Refining and optimizing statistical models and reports based on performance evaluations Skills & Experience Minimum 3 years of experience in Data Mining. Technical skills: Data Modelling, VBA, Macros, SQL, Power Query, Power Apps, SharePoint Development, Data Visualization and Data Cleansing. Experience interpreting complex data sets and presenting insights to both technical and non-technical stakeholders Extensive experience in identifying, gathering, and integrating internal and external data sets Experience in ensuring data quality by handling and addressing missing values and inconsistencies Why AMS? At AMS, we recognize the value of different perspectives and experiences in prompting innovation, sparking creativity, and solving problems. We come from every walk of life, and our culture is open and inclusive. Our people enjoy flexibility, autonomy, and being trusted to work their way. We offer you career opportunities in every direction you want to explore. Its our world but you can do it your way. We offer: Full training and support High value and challenging work A vibrant, diverse, and collaborative culture Flexible working A competitive reward and benefits package* *Details may vary slightly depending on your location, local labour law, etc. Our culture of inclusion and belonging. We welcome applications from people of all backgrounds, and all aspects of employment are based on merit, qualifications, and business needs. We do not discriminate based upon age, disability, gender identity, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, sexual orientation, or any other applicable legally protected characteristic. Hit the Apply now button to get your journey started!

The Global Data Insights and Analytics (GDIA) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization.The candidate should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Masters degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. Proficient in querying and analyzing large datasets using BigQuery on GCP. Strong Python skills for data wrangling and automation. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense. 1+ years experience in SQL programming language and relational databases. Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making by FCSD business team Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

Transforming the Future of Enterprise Planning At o9, our mission is to be the Most Value-Creating Platform for enterprises by transforming decision-making through our AI-first approach By integrating siloed planning capabilities and capturing millions even billions in value leakage, we help businesses plan smarter and faster This not only enhances operational efficiency but also reduces waste, leading to better outcomes for both businesses and the planet Global leaders like Google, PepsiCo, Walmart, T-Mobile, AB InBev, and Starbucks trust o9 to optimize their supply chains What you ll do for us The responsibilities include end-to-end o9 solution design, configuration, implementation, data analytics, testing of solution and communication with internal and external stakeholders Design End to end solution design, configuration, implementation, data analytics, testing of solution and communication with internal and external stakeholders Participate in process and business requirements sessions with client and document to-be business process leveraging industry best practices Work with clients to identify and collect data, such as historical sales, shipment, inventory, logistics, and other operations / supply chain data from sources like databases, Excel sheets, emails, and others Ability to convert business logic to technical platform design, including knowledge of platform infrastructure Configuration Work closely with architects and directors to develop clear functional and technical design, document data requirements, and build complex datasets Configure a technical specification document and tool configuration in the o9 platform, as per the design, to solve deep operations / supply chain problems and institute rigorous performance monitoring systems Data Analytics Use mathematical models, predictive methods, statistical techniques, optimization algorithms and simulations to analyze, manipulate and interpret large enterprise data and provide business insights and data visualization to the client management Be proficient in statistical and optimization tools and programming languages to conduct data integration through extraction, transformation, and loading (ETL) and create models to generate time series forecasts and operational plans Testing Work with internal Research and Development teams to resolve solution gaps and deploy fixes in the customer environment Create and execute workflow and data analytics test-cases, document issues, and track progress at resolving issues Ability to design and implement a testing protocol, with support from junior analysts, with the end goal of automating testing Communication Work with client, cross-functional teams, and IT and business stakeholders, to ensure successful planning and execution of projects Plan, develop and deliver Super User and End User training, for a global user base Mentor junior analysts to familiarize them with technical and business aspects of a project What you ll have Education: Master s Degree required with 1 year of experience or Bachelor Degree with 3 years experience Degrees in the following fields: in Operations Research, Industrial Engineering, Engineering Management, Business Analytics or related fields with a concentration in operations or analytics Experience: implementing supply chain planning solutions or working in the supply chain/ logistics organization Experience presenting on complex topics in a clear, concise, and easily understood manner Firsthand experience leading, or assisting a team, through the full lifecycle of a supply chain planning solution implementation including business requirement gathering, solution design development, UAT/SIT, go-live/cutover and value realization is preferred Experience using agile methodology to deliver large scale enterprise implementations Skills: Statistical, Optimization and Simulation skills through software tools and packages like R, SAS, CPLEX or similar is preferred Knowledge of spreadsheets and software (Microsoft Excel, Google Sheets), document processing (Microsoft Word, Google Docs), presentation (Microsoft PowerPoint) is required Knowledge and training in databases (SQL Server, MySQL) and skills one or more languages like SQL, MDX, T-SQL or similar is required Strong analytical techniques, data mining knowledge and proficiency in handling and processing large amounts of data is preferred Ability to identify key insights and critical thinking to prioritize and focus on the highest value opportunities or the biggest risks is preferred More about us Our platform, the o9 Digital Brain, is the premier AI-powered, cloud-native platform driving the digital transformations of major global enterprises including Google, Walmart, ABInBev, Starbucks and many others Our headquarters are located in Dallas, with offices in Amsterdam, Paris, London, Barcelona, Madrid, Sao Paolo, Bengaluru, Tokyo, Seoul, Milan, Stockholm, Sydney, Shanghai, Singapore Munich, Toronto More about us At o9, transparency and open communication are at the core of our culture Collaboration thrives across all levels hierarchy, distance, or function never limit innovation or teamwork Beyond work, we encourage volunteering opportunities, social impact initiatives, and diverse cultural celebrations With a $37 billion valuation and a global presence across Dallas, Amsterdam, Barcelona, Madrid, London, Paris, Tokyo, Seoul, and Munich, o9 is among the fastest-growing technology companies in the world Through our aim10x vision, we are committed to AI-powered management, driving 10x improvements in enterprise decision-making Our Enterprise Knowledge Graph enables businesses to anticipate risks, adapt to market shifts, and gain real-time visibility By automating millions of decisions and reducing manual interventions by up to 90%, we empower enterprises to drive profitable growth, reduce inefficiencies, and create lasting value o9 is an equal-opportunity employer that values diversity and inclusion We welcome applicants from all backgrounds, ensuring a fair and unbiased hiring process Join us as we continue our growth journey!