Data Acquisition Jobs in Chennai

Position: Data Scientist Experience: 2+ Years Type: Full-time Location: Chennai About the Role As a Data Scientist at FinnUp, you will transform raw data into actionable insights that drive strategic decisions. You will work with complex datasets, build predictive models, and collaborate closely with cross-functional teams. Your expertise in analytics engineering, combined with your proficiency in Python especially pandas data frames and dictionaries will be critical in optimizing data workflows and delivering impactful results. Key Responsibilities Analyze large, complex datasets to extract meaningful insights that support business decision-making. Develop, implement, and maintain predictive models and machine learning algorithms to solve key business problems. Use pandas extensively for data manipulation, analysis, and visualization. Work closely with product, marketing, and business teams to understand requirements and provide data-driven solutions. Design and implement scalable data pipelines and ELT processes to ensure data integrity and accuracy. Create insightful dashboards and reports using Metabase to communicate findings to stakeholders. Stay current with the latest trends, tools, and advancements in data science, AI, and analytics engineering. Required Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Mathematics, or related field. 2-3 years of experience as a Data Scientist or in a similar analytical role. Strong proficiency in Python with deep experience in pandas, dictionaries, and other core data structures. Experience with data visualization tools, especially Metabase. Solid understanding of statistical analysis and machine learning methods. Ability to write efficient SQL queries for data extraction and manipulation. Excellent problem-solving skills with high attention to detail. Strong communication and collaboration skills. Preferred Qualifications Hands-on experience building and deploying machine learning models in production environments. Familiarity with cloud platforms such as AWS or Google Cloud. Knowledge of additional programming languages like R or Julia. Experience with other data visualization tools and libraries. Competitive salary and benefits package. Opportunities for professional growth and skill development. A collaborative, innovative, and supportive work environment. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or related field

Position: Senior Data Conversion Specialist Location: Chennai Department: Publishing Services Job Type: Full-time Industry: E-Publishing About Us At Kriyadocs , we ve partnered with prestigious publishing houses around the world for over 15 years, delivering world-class digital and print content. By leveraging cutting-edge technology, streamlined processes, and deep domain expertise, we simplify publishing workflows from authoring to distribution. Our peer review and production platforms are complemented by services like copyediting, typesetting, and project & author management. Our mission is to create outstanding experiences for authors, publishers, and employees through innovation and technology, helping bring authors work to life and share it with the world. We re driven by a passion for customer-first solutions, and we empower our team to take on challenges, exchange knowledge, and enrich processes across the publishing ecosystem. What It s Like to Work Here We re a fast-growing team of smart, enthusiastic individuals with a can-do attitude. We believe in: Customer-First: We put our customers at the heart of everything we do. Continuous Learning: We embrace innovation and encourage growth. Collaboration: We work as a team, solving challenges together. If you're looking for a place where you can make a real impact, come join us! Role Overview We re looking for an experienced Senior Data Conversion Specialist to join our dynamic team. You ll be responsible for converting content into various formats, ensuring high-quality deliverables while adhering to tight deadlines. Your role involves working with XML, digital technologies, and conversion tools, while collaborating with internal teams and clients to resolve issues and meet project goals. Key Responsibilities Meet daily benchmarks and ensure timely project delivery. Ensure there are no escalations or complaints from internal or external stakeholders. Maintain accurate project records and documentation. Communicate product-related issues with detailed information and improvement suggestions. Use appropriate tools to ensure the quality of delivered content. Deliver final files to clients on specified platforms in a timely manner. Adhere to client Service Level Agreements (SLAs). Evaluate and onboard freelancers/vendors as needed. Study and understand client requirements, create instruction documents, and produce conversion samples. Analyze customer requirements to define tool requirements and document for automation. Work independently or in a team to meet tight deadlines. Skills & Experience Strong knowledge of XML, including both book and journal XML formats. Hands-on experience working with DTD, MathML, and XML editors (Epsilon, XML Exchanger, Oxygen XML, Notepad++, etc.). Familiarity with digital technologies such as XPath, XSLT, Schema, and ePub. Experience with third-party deliverables like PubMed, PMC, Ingenta, HighWire, Atypon, and Crossref. Excellent communication, problem-solving, and analytical skills. Strong attention to detail, ability to maintain quality under pressure, and a proactive learning attitude. Eligibility Criteria Role: Senior Data Conversion Specialist Location: Chennai Experience: 5+ years of related experience in data conversion or a similar field. Qualification: Bachelor's degree preferred. Equivalent years of experience may be considered in lieu of a degree. Qualification : Bachelor's degree preferred

Role: Senior Relationship Manager Wealth Manager Location: Chennai Experience Required: 6 8 Years Job Type: Full-Time About Scripbox Founded in 2012, Scripbox is India s leading Digital Wealth Management platform. Our mission is simple: to demystify investing using technology, data, and science. With a customer-first approach, we guide individuals through their investment journey, helping them build wealth and achieve long-term financial goals. Be a Change-Maker: Join a company that s transforming wealth management through technology and innovation. Drive Real Impact: Play a strategic role in scaling a high-growth business channel. Collaborate & Innovate: Be part of a team that thrives on ownership, collaboration, and continuous learning. Empower Financial Futures: Help clients make confident, informed decisions about their wealth. Grow Your Career: We invest in our people your growth matters as much as our success. Role Overview As a Senior Relationship Manager Wealth Manager, you ll manage a portfolio of high-net-worth clients, delivering personalized financial advice and wealth planning. You ll also lead and mentor a team of Junior and Trainee Relationship Managers, helping them excel while contributing to strategic business growth. Key Responsibilities Client Portfolio Management Serve as the lead advisor for a portfolio of HNI clients, offering tailored investment strategies. Conduct deep-dive financial planning, goal-based asset allocation, and risk profiling. Handle complex financial situations, guiding clients through volatile markets and critical decisions. Team Leadership Coach and mentor Junior and Trainee RMs, promoting a high-performance, client-first culture. Conduct regular feedback sessions and performance reviews. Ensure adherence to Scripbox s standards of credibility, reliability, and trust. Business Growth & Strategy Drive growth in Net AUA by deepening relationships and securing referrals. Initiate and implement strategies to enhance client experience and operational processes. Represent Scripbox at client events, industry forums, and thought leadership platforms. Who We re Looking For Experience & Qualifications 7+ years in wealth management or a related financial advisory role. Proven experience in team management or mentoring roles. Bachelor s degree (Finance/Economics preferred). Advanced certifications such as CFP or CFA Level 2/3 are highly preferred. Skills & Competencies Strong expertise in financial planning, mutual funds, portfolio structuring, and client engagement. Exceptional communication and relationship-building skills. High emotional intelligence and empathy, with the ability to earn trust and build lasting client relationships. Strategic thinking with a sharp focus on growth, efficiency, and team excellence. Career Path This role offers clear growth opportunities into Regional Manager and senior leadership roles within Scripbox s Wealth Management division. Qualification : Bachelors degree (Finance/Economics preferred)

Job Title: Content Acquisition Specialist Experience: 2 6 Years Location: Chennai Position Overview: We are looking for a proactive and detail-oriented Content Acquisition Specialist to join our team. This role involves sourcing high-quality content, engaging with subject matter experts (SMEs), and ensuring that our learning programs remain relevant, competitive, and aligned with market demands. The ideal candidate will have strong research, negotiation, and project management skills, along with experience in educational content or digital learning. Key Responsibilities: Conduct in-depth market research to analyze content trends, audience preferences, and the competitive landscape. Identify and engage with subject matter experts (SMEs) and domain specialists with global industry experience. Evaluate content for quality, relevance, and alignment with the company's educational goals and strategic direction. Collaborate cross-functionally with internal teams to ensure all acquired content aligns with platform standards and audience expectations. Build and maintain strong, long-term relationships with content providers, including industry leaders and SMEs. Negotiate and manage licensing agreements, ensuring favorable terms and compliance with company policies. Oversee the content delivery and integration process, ensuring seamless execution across platforms. Take full ownership of course launches, ensuring all content is delivered on time and meets quality standards. Continuously source up-to-date and industry-relevant content to keep programs fresh and competitive. Maintain strategic partnerships with vendors and SMEs to ensure cost-effective and timely execution of learning initiatives. Engage with accreditation bodies to secure necessary certifications for programs and maintain compliance with industry standards. Desired Candidate Profile: Bachelor s degree in Education, Business, Communications, or a related field (Master s preferred). 2 6 years of experience in content acquisition, instructional design, or a similar role within the e-learning, publishing, or education technology sector. Strong research and analytical skills to stay ahead of content trends and audience needs. Excellent communication and negotiation skills with experience in managing vendor or SME relationships. Strong project management skills and ability to meet tight deadlines. Familiarity with licensing agreements, content rights, and digital content delivery workflows. Experience working with accreditation bodies is a plus. Qualification : Bachelors degree in Education, Business, Communications, or a related field (Masters preferred)

Job Title: Branch Manager Gold Loan Department: Sales Location: Chennai Job Type: Full-Time | Permanent Reporting To: Business Manager Gold Loan Job Purpose: As the Branch Manager Gold Loan at TVS Credit, you will be responsible for overseeing the end-to-end operations and business performance of your branch. This role focuses on driving gold loan disbursements, managing branch operations, leading the team, ensuring compliance, and delivering exceptional customer service. Your leadership will directly impact profitability, asset quality, and customer retention. Key Responsibilities: Branch Operations & Business Growth: Manage the gold loan portfolio for the branch and ensure sustained business growth. Lead all operational aspects including loan disbursements, cash management, gold vault handling, customer onboarding, and compliance with internal policies. Drive local marketing activities and outreach programs to increase brand visibility and customer acquisition. Team Leadership & Development: Lead, coach, and mentor branch staff to maintain a high-performance culture. Conduct periodic training and skill-building sessions to ensure the team is up-to-date with policies, processes, and customer handling practices. Performance Monitoring & Reporting: Analyze branch performance data and prepare regular reports on business KPIs, including disbursement targets, collections, and operational metrics. Leverage insights for decision-making and strategic improvements in the branch s gold loan portfolio. Customer Engagement & Retention: Ensure high standards of customer service and relationship management to drive loyalty. Act as a trusted advisor to clients throughout their gold loan lifecycle, resolving issues efficiently. Credit Quality & Collections: Maintain gold loan portfolio quality through proactive customer follow-up and timely collections. Monitor and control Non-Performing Assets (NPAs) and ensure adherence to internal risk thresholds. Valuation & Compliance: Oversee accurate valuation of pledged gold using standard techniques (e.g., scratch test, acid test, flexibility test). Ensure secure storage of gold and cash within the branch, following vault protocols and audit guidelines. Comply with all internal audit, risk, and regulatory standards during day-to-day operations. Risk Management & Security: Monitor opening and closing protocols for branch operations to maintain compliance and security standards. Ensure safety of gold and financial assets through rigorous branch-level checks and controls. Qualifications & Experience: Education: Bachelor s or Postgraduate Degree (MBA in Finance preferred) Experience: Minimum 6 years in Gold Loan operations, preferably in NBFCs or Banks Key Functional Competencies: Deep understanding of gold loan valuation, pricing, and schemes. Experience in branch-level P&L management. Familiar with loan origination systems (LOS), LMS, and CRM platforms. Strong knowledge of risk management, audit, and compliance processes. Behavioral Competencies: Leadership: Ability to manage and motivate a team effectively. Analytical Thinking: Data-driven decision-making. Customer Orientation: Strong service mindset. Communication: Excellent interpersonal and verbal skills. This is an opportunity to lead one of the most critical and fast-growing business verticals in TVS Credit. You ll work in a performance-driven culture, take ownership of a branch, and directly contribute to the company s growth while empowering local communities through gold-backed financing. Qualification : Bachelors or Postgraduate Degree (MBA in Finance preferred)

Senior Data Scientist AI/ML Location: Chennai About the Team Join the ZF Center of Excellence (COE) team, where we translate complex AI, Machine Learning (ML), Deep Learning (DL), and Reinforcement Learning (RL) concepts into impactful solutions. Our team communicates cutting-edge research insights to both technical and non-technical audiences, including presentations at conferences and publications in academic journals. What to Expect in this Role Conduct advanced research to develop innovative AI/ML methodologies, with a focus on DL and RL techniques. Design and execute experiments to validate new approaches and benchmark machine learning algorithms. Analyze complex datasets to discover hidden patterns that drive AI innovation. Stay current with the latest advancements in algorithms, tools, and theoretical frameworks, exploring areas such as model interpretability and efficient deep learning training. Prototype and evaluate advanced models like CNNs, RNNs, and other deep learning architectures. Develop foundational algorithms and frameworks applicable across diverse machine learning challenges. Focus on enhancing model efficiency, reducing bias, and improving explainability. Document research methods, experiments, and theoretical contributions to facilitate knowledge sharing. Shape the team s long-term research vision and strategic goals. Candidate Profile Master s degree in Mathematics, Computer Science, or related fields; PhD is a strong plus. 8+ years of research and development experience with deep knowledge of data structures and algorithms. 5+ years experience deploying ML models in production environments. Proficient with ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with distributed computing and large-scale data processing systems. Strong communication and teamwork skills. Experience contributing to invention disclosures and intellectual property processes. Proven publication record in leading machine learning conferences or journals. Innovative Environment: Work at the forefront of technology with a culture that fosters creativity and continuous growth. Diverse & Inclusive Culture: Thrive in an environment that values diversity, equity, and mutual respect. Career Development: Benefit from extensive training, clear advancement paths, and global project opportunities. Global Presence: Collaborate with international teams and contribute to world-class driveline and chassis technologies. Sustainability Commitment: Play a role in eco-friendly initiatives and reducing environmental impact. Employee Well-being: Enjoy health and wellness programs, flexible work options, and a supportive work-life balance. Join Us Take your AI/ML expertise to the next level with ZF. Apply now for the Senior Data Scientist AI/ML role and contribute to shaping the future of mobility! Our Commitment to Diversity, Equity & Inclusion (DEI) At ZF, we are dedicated to building a culture of inclusion where diversity is celebrated. We work to remove barriers so every employee can thrive and contribute to our shared legacy of innovation and excellence. Qualification : Masters degree in Mathematics, Computer Science, or related fields; PhD is a strong plus

Job Title: Data Engineer Location: Chennai (Work from Office) Job Type: Full-time Experience: 2 to 4 years Job Description Blackstraw Technologies Pvt Ltd is seeking a skilled Data Engineer to join our dynamic team. You will play a crucial role in transforming raw data into actionable insights by designing and maintaining robust data pipelines and systems. Your work will ensure alignment between data infrastructure and business goals, helping to drive efficiency and scalability. You will leverage your analytical skills and proficiency in various programming languages to integrate, process, and optimize data from diverse sources. You will also collaborate closely with data scientists and end-users to support data-driven decision-making. Key Responsibilities Design, build, and integrate data pipelines from multiple sources for analytics and operational purposes. Perform data integration and troubleshoot production and development issues. Develop, automate, and optimize ETL pipelines and workflows. Work with big data technologies including Hive, Spark, and Hadoop; optimize performance for large-scale data processing. Write and maintain efficient Spark/PySpark or Spark/Scala programs. Utilize strong SQL skills for querying and database design. Develop shell scripts (Unix/Linux) to automate data processing tasks. Collaborate with data scientists and various business teams to understand and fulfill data needs. Maintain and deploy ETL code following Agile methodologies. Handle service delivery tickets and provide support related to ETL tools. Participate in root cause analysis and problem resolution for data pipeline issues. Required Skills & Qualifications Bachelor s degree in Computer Science, Information Technology, or related field; Master s degree is a plus. 2 to 4 years of hands-on experience in data engineering or related roles. Strong expertise in ETL development and data integration tools. Proficiency in Spark (PySpark or Scala), Hive, and Hadoop ecosystem. Advanced SQL skills and experience with relational database management systems (RDBMS). Experience with shell scripting in Unix/Linux environments. Familiarity with Java, Python, or Scala programming languages is desirable. Knowledge of Cloud platforms (Azure preferred) is a plus. In-depth understanding of Retail domain data and business processes is advantageous. Excellent analytical, organizational, and communication skills. Experience with Agile project management and teamwork. About Blackstraw Technologies Pvt Ltd Founded in 2015 and fully operational since 2018, Blackstraw Technologies is a global software products and services company specializing in Artificial Intelligence (AI) and Machine Learning (ML) solutions. Our AI platform accelerates data labeling, model training, and deployment across cloud and on-premise environments. Our 250+ member team boasts over 900 years of combined experience, focusing on areas such as computer vision, natural language processing, and deep learning annotation tools. We enable enterprises worldwide to rapidly adopt AI in a cost-effective, plug-and-play manner. Headquartered in Florida, USA, Blackstraw has operations across Canada, the USA, and India. Qualification : Bachelors degree in Computer Science, Information Technology, or related field. Masters degree is a plus.

Job Title: Data Scientist Company: Blackstraw.ai Job Location: Chennai (Work from Office) Job Type: Full-time Experience: 2 10 Years Job Summary: We are looking for Data Scientists to analyze large amounts of raw information to find patterns that will help improve our clients business. We will rely on you to build data products to extract valuable business insights. You will be part of our AI team in developing AI based products through the latest cutting edge technology. Key Responsibilities: Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Communicate your findings to the appropriate teams through visualisations Collaborate and communicate findings to diverse stakeholders Provide solutions but not limited to: Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, Text Classification, Clustering, Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization. Follow/maintain an agile methodology for delivering on project milestones. Excellent oral, presentation, and written communication skills. Preferred Qualifications: Bachelors in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research or related technical degree with ability to break complex business problems down to smaller more solvable parts. Minimum of 3+ years of experience in a related position, as a data scientist building predictive analytics or NLP or CV solutions for various types of business problems. Working knowledge of statistical techniques, NLP, machine learning algorithms and deep learning frameworks like Tensorflow, Pytorch, PySpark. Programming background and expertise in building models using at least one of the following languages: Python, R, C, C++, Spark, Scala. Good knowledge in the implementation of deep learning models for image classification, Document classification models, object detection, logo detection. Self-motivated and driven to deliver agreed results on-time. Company Profile: Conceptualized as far back as 2015, and commencing full-time operations in 2018, Blackstraw technologies Pvt Ltd. is a software products and services company specializing in Artificial Intelligence (AI) and Machine Learning solutions for various industries. We support businesses around the world, including North America, Europe and Asia, working to simplify AI implementation through our platform that expedites data labelling, AI model-training, and cloud or on-premise deployments. With more than 900 years of combined work-experience, the 250+-strong Blackstraw Team comprises various experts in the AI value chain. We are a fast-moving team that prides ourselves in rapidly identifying different use-cases and fine-tuning our products to suit specific business needs. We are focused on providing solutions related to computer vision, natural language processing, Data annotation tools for deep learning models, etc. To stay competitive in business, it is key for organizations to adopt and implement smart AI solutions and service offerings. However, most companies are unable to implement AI rapidly due to the complexity of existing solutions, inadequate data and cost implications. Our mission is to enable enterprises to adopt AI in an easier, cost-effective and time-efficient manner with a plug-and-play approach to their data. Blackstraw operations are based out of Canada, USA & India. Our head office is based in Florida. Qualification : Bachelors in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research or related technical degree with ability to break complex business problems down to smaller more solvable parts.

Role: Assistant Manager Data Science Location: Chennai, Tamil Nadu, India Experience: 6 8 Years Employment Type: Permanent, Full-Time About the Role We are hiring an experienced Assistant Manager Data Science to join our dynamic analytics team in Chennai. This role requires 6 8 years of hands-on experience in data science, applied analytics, machine learning (ML), and statistical modeling. The ideal candidate will have a strong analytical mindset, excellent problem-solving abilities, and the ability to transform data into strategic business insights. Key Responsibilities Design and develop machine learning models and data analytics frameworks to solve real-world business problems. Apply statistical techniques to analyze structured and unstructured data. Write complex and optimized SQL queries to manage and extract data from large datasets. Build insightful and interactive dashboards and visualizations using tools like Tableau. Collaborate with cross-functional stakeholders to understand requirements and deliver data-driven solutions. Translate business challenges into analytical problems and structure approaches for resolution. Keep up-to-date with the latest trends in data science, artificial intelligence (AI), ML, and data visualization. Required Skills & Qualifications 5+ years of experience in data science, applied analytics, or machine learning. Strong command of Advanced SQL and hands-on experience with large-scale datasets. Proficient in Python for ML and statistical analysis. Expertise in data visualization, preferably with Tableau. Solid understanding of statistical methods, predictive modeling, and data interpretation. Excellent communication and stakeholder management skills. Analytical, detail-oriented, and innovative approach to problem-solving. Work on impactful and high-visibility data science projects. Be part of a collaborative and forward-thinking analytics team. Gain exposure to cutting-edge technologies and business strategies. Competitive salary and benefits package.

Delivery Engineer DA Robotics (Drone Pilot) Location: Chennai (Work from Office & Field) Job Type: Full-Time Experience: 1 1.5 Years (Freshers with solid UAV training also considered) Job Overview We are seeking a passionate and technically proficient Drone Pilot (Delivery Engineer DA Robotics) to join our UAV operations team. This role involves data acquisition through drone operations for industrial asset inspections, mapping projects, and other aerial data collection assignments. The ideal candidate should have strong engineering fundamentals, hands-on experience with UAV flying, and the ability to work independently on field assignments with minimal supervision. Key Responsibilities Execute drone flights following standard operating procedures across industrial environments for: Industrial asset inspections Area and asset mapping Perform data acquisition and ensure quality deliverables aligned with client requirements. Conduct on-site drone operations with strict adherence to safety standards and best practices. Maintain and troubleshoot UAVs, ensuring operational readiness and minimizing downtime. Handle inventory management, including drone components and accessories. Prepare and submit field reports, documentation, and data logs after each assignment. Collaborate with the operations team for scheduling and deployment to client sites. Be ready for frequent field travel based on project needs. Qualifications & Experience Education: B.E./B.Tech in any Engineering discipline (Minimum 60% aggregate). Experience: 1 1.5 years of professional drone flying experience in industrial or commercial sectors. Freshers with 6+ months UAV flying experience (including training hours) will be considered. UAV Flying Experience: Minimum 25 30 flying hours (must include training and hands-on flight hours). Strong understanding of UAV systems, components, and routine maintenance. Required Skills Proficient in safe and stable drone flying techniques under various conditions. Ability to operate UAVs for data collection with precision and consistency. Familiar with UAV hardware/software troubleshooting and maintenance. Strong sense of responsibility, safety awareness, and professionalism. Comfortable working in remote client locations and industrial environments. Effective communication and documentation skills. Willingness to travel extensively based on field requirements. Training & Deployment Initial training will be conducted at our Tharamani, Chennai office. Post-training, candidates will be deployed to client locations as per project needs. If you are passionate about drone technology, field operations, and industrial innovation, and want to build your career in UAV-based solutions, this role offers a hands-on, impactful opportunity in a fast-growing tech domain. Qualification : B.E./B.Tech in any Engineering discipline (Minimum 60% aggregate).

Description Job Requirements Role/ Job Title: Talent Acquisition Manager Business: Corporate Function Roles & Responsibilities: Ensure that all recruitment processes and systems are implemented smoothly in order to facilitate hiring at the bank. Drive talent acquisition channel strategy, focusing on low-cost hiring channels and lowering average cost per hire. Deliver end to end recruitment services for the vertical within the stipulated aggressive timelines and build the talent pipeline for the business to achieve the hiring targets for the LOB within the standard timelines at optimal price points. Ensure that defined SLAs, TAT are met. Participate in the channel strategy for hiring talent, thereby optimising low-cost hiring channels and driving down the average cost per hire. Extensive use of social and professional networking sites to identify potential candidates. Establish and help create a brand value to attract a talent pool from the market. Prioritizing and balancing the recruitment needs as per business criticality. Communicate progress on assigned job vacancies on a regular basis and offer advice on the action plan to close the position within the given SLAs. Keep recruitment budgets and overall resourcing costs in control. Manage the key ratios of TAT, joining ratio, IJP movement, cost per hire, and infant attrition. Continuously derive insights from candidate feedback to design improvements or processes as relevant, with the sponsorship of line and HR leaders. Key Success Metrics: Time to hire; Quality of hire; Talent Diversity; Process excellence; Stakeholder feedback and Cost per hire

Your Impact In this role, you will be responsible for ensuring the accurate and efficient management of Fixed Assets (FA) processes while applying deep accounting knowledge to FA transactions and reporting. As an Independent Contributor, you will: Analyze and resolve issues related to Fixed Assets, collaborating with cross-functional teams to address any system-related concerns. Provide expert guidance on FA-related queries and challenges, ensuring the smooth operation of FA functions across the organization. Identify training needs for colleagues and take an active role in grooming and upskilling them through appropriate training sessions. Maintain up-to-date business process documentation to ensure all policy changes and SOPs are current, ensuring compliance with both internal controls and external regulatory requirements. Identify potential risks and gaps in the FA process, implementing necessary controls to mitigate risks and updating the process checklist to strengthen controls. Collaborate with other teams to eliminate non-value-added activities, implement best practices, and ensure the standardization of processes. Lead initiatives aimed at enhancing efficiency, including QA testing and approving production deployments. Prepare and maintain regional KPI files, manage aging items, propose clearing actions, track resolutions, and ensure reports required for leadership review are readily available. Play an active role in Internal Audit, Statutory Audit, Tax Audit, and External Audit processes, ensuring timely resolution of audit queries and systematically maintaining and saving audit-related data on a monthly basis. Your Growth You will be an integral part of the General Accounting - Fixed Assets team under the Finance Global Operations (FGO) in Chennai within McKinsey Global Services (MGS). This is a dynamic and challenging environment that will allow you to further develop your skills in accounting and fixed assets management while contributing to McKinsey s broader finance operations. Your Qualifications and Skills Graduation in accounting/finance, CA, or ICWA. 10 to 12 years of overall accounting experience, with 5 to 6 years of core Fixed Assets experience in an SAP environment. Strong understanding of accounting principles and Fixed Assets accounting. Proven ability to troubleshoot and resolve FA-related issues with a focus on accuracy and compliance. Extensive audit preparation and support experience, with the ability to collaborate with multiple teams for audit-related activities. Strong analytical and problem-solving skills with an eye for detail. Ability to work independently and manage multiple priorities in a fast-paced environment. Excellent communication and leadership skills, with experience in leading and mentoring teams. Exposure to Reconciliation Tool - Blackline is a plus. Qualification : Graduation in accounting/finance, CA, or ICWA.

Field Services Sales Professional Location: Chennai, India About Schneider Electric Services Business Schneider Electric s Services Business offers cutting-edge solutions to design, implement, and optimize electrical infrastructure and smart systems for buildings, data centers, industries, and infrastructure. We are looking for a highly motivated and experienced sales professional with 5-10 years of experience to join our Field Services Sales team. This is a B2B sales role requiring a proactive approach to acquire new business, maintain an existing customer base, and collaborate with partners. Key Responsibilities 1. Sales & Business Development Prospect target accounts for new business opportunities. Maintain and expand existing customer relationships in the assigned territory. Achieve sales targets through a consultative selling approach. Work with partners to enhance business growth. Conduct 2-3 customer visits daily to drive field engagement. 2. Solution & Service Offerings Promote and sell retrofit & revamp solutions for UPS & Precision Air Conditioning (PAC) systems. Offer Data Center Consulting & Modernization services. Drive sales of IoT-based Asset Management solutions. Manage install base customers, ensuring continued service engagement. 3. Financial & Operational Management Provide weekly sales forecasts for bookings, billing, and collections. Ensure timely follow-ups on revenue collection and customer commitments. Work extended hours as needed to meet business demands. Skills & Competencies Self-driven individual with a strong commitment to achieving targets. Ability to multi-task and handle a dynamic sales environment. Strong Techno-Commercial knowledge of UPS & PAC Systems to manage solution-based and digital business sales. Excellent written and verbal communication skills. Ability to adapt and maintain an agile work approach. Qualifications Degree/Diploma in Electrical & Electronics Engineering (EEE) / Electronics & Communication Engineering (ECE). MBA in Marketing is an added advantage. At Schneider Electric, we foster a culture of innovation, inclusion, and sustainability. This role offers a challenging and rewarding opportunity to grow within a globally recognized leader in energy management and automation. Apply today and become a part of our dynamic Field Services Sales team! Qualification : ???? Degree/Diploma in Electrical & Electronics Engineering (EEE) / Electronics & Communication Engineering (ECE).???? MBA in Marketing is an added advantage.

Operations IT Data Technologist About Dow At Dow, we put people first and are committed to integrity, respect, and safety for our employees, customers, and the planet. We are a diverse community of relentless problem-solvers who thrive on collaboration, innovation, and the pursuit of a sustainable future. By leveraging science and technology, we help transform industries and shape the world we live in. If you're looking for a meaningful and challenging role, you're in the right place. About the Role As an Operations IT Data Technologist, you will play a key role in data management and system optimization within manufacturing facilities. You will lead and support projects, manage SAP Master Data Configuration, and ensure alignment across global operations. This role requires a strong understanding of maintenance and operations, along with expertise in SAP, data analytics, and IT systems. Responsibilities Manage and optimize master data, including the global Maintenance, Repair, and Operating (MRO) supplies catalog and SAP configurations. Ensure data alignment across global manufacturing sites. Lead projects involving data transfer (e.g., moving data to a tenant in case of divestiture). Analyze and improve data processes, utilizing methodologies such as data mining, statistics, visualization, optimization, and simulation. Facilitate collaboration between site maintenance, production leaders, and business end users to drive continuous improvement. Provide expertise in Operations ITOT, ensuring system effectiveness, training, troubleshooting, and targeted improvements. Align global priorities within a defined business process area to maximize value. Qualifications Bachelor s degree in Engineering, Manufacturing, or a related field. 10+ years of experience in maintenance, operations, or IT-related roles in a manufacturing environment. Strong leadership and facilitation skills to drive improvement initiatives. Skills & Technical Expertise SAP BO Data Services (BODS) SAP HANA / LSMW SAP Information Steward Mass data loads in SAP Tableau for data visualization Fluency in English and experience working in a global environment Additional Information Relocation assistance is not available for this position. Flexibility to work across international time zones may be required. Total Rewards & Benefits Competitive Salary & Bonus Equitable and market-competitive pay with performance-based incentives. Career Growth Extensive learning, mentoring, and development opportunities. Retirement & Financial Planning Savings plans, employee stock purchase programs, and financial education resources. Health & Wellbeing Robust medical, life insurance, and mental health support. Flexible Work Culture Role-based flexibility for work-life balance. Parental Leave & Family Support Paid leave for new parents and caregivers. Time Off & Volunteer Programs Paid vacation, volunteering opportunities, and Employee Resource Groups (ERGs). On-Site Fitness & Discounts Gym memberships, shopping discounts, and travel insurance (location-dependent). About Dow India Dow Chemical International Pvt. Ltd. (Dow India) is a leader in sustainable materials science. With 1,000+ employees, our manufacturing sites, innovation centers, and commercial offices drive advancements in packaging, infrastructure, automotive, and consumer care. We are Great Place to Work Certified and actively support Corporate Social Responsibility (CSR) initiatives that empower women, children, and differently-abled individuals through technology and employee volunteerism. Join Our Team & Make an Impact! At Dow, diversity is our strength, and we are committed to equal opportunities for all. If you need any accommodations during the application or interview process, please let us know. Apply now and be part of a global team shaping the future through science and innovation!

Job Overview Senior Engineer - Data Engineering in the Automotive domain with 3-7 years of experience Extensive expertise in pyspark, hadoop, and gcp for designing and implementing data pipelines Proficient in tensorflow, python, and SQL for automation, data quality, and optimization Skilled in big data technologies like numpy, pandas, and data manipulation Responsible for architecting scalable data pipelines, data transformation, performance optimization, monitoring, and collaboration with cross-functional teams Bachelor's degree in Computer Science or equivalent; preferred certifications include Professional Data Engineer and Google Cloud Certified - Professional Data Engineer Good to have experience with CI/CD practices, data processing libraries, data quality, Pub/Sub architectures, and Tekton pipelines management Roles & Responsibilities Architect and Develop Data Pipelines: Lead the design, development, and maintenance of scalable and efficient data pipelines using GCP services like Pub/Sub for real-time data ingestion and BigQuery for storage and analysis. Data Transformation and Processing: Implement data transformation processes to cleanse, enrich, and aggregate raw data from diverse sources, ensuring data quality and consistency. Performance Optimization: Fine-tune data pipelines and queries to enhance performance, reduce latency, and ensure timely data access for stakeholders. Monitoring and Maintenance: Implement monitoring solutions for tracking pipeline performance, addressing issues proactively, and conducting regular maintenance tasks to uphold data infrastructure reliability. Collaboration: Collaborate with Data Scientists, Software Engineers, and Business Analysts to understand data requirements and provide technical solutions to meet business needs. Documentation: Document data pipelines, processes, and best practices to facilitate knowledge sharing and maintain a comprehensive understanding of data architecture. Our ideal candidate Extensive knowledge and proficiency in pyspark, hadoop, and gcp Advanced skills in designing and implementing data pipelines, data modeling, and data warehousing solutions Proficiency in tensorflow and python for automation scripts and data quality Strong SQL skills for querying and optimizing data warehouse operations Expertise in big data technologies like numpy, pandas, and libraries for data manipulation and analysis Monitoring data processes, utilizing GCP services, and implementing data engineering best practices Prioritizing skills in GCP, BigQuery, Python, Data Modeling, SQL, and Data Warehousing Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, or a Master of Technology (M.Tech) in Data Science or Big Data Analytics Certifications such as Professional Data Engineer and Google Cloud Certified - Professional Data Engineer preferred Company overview Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful.Altimetrik helps get companies get unstuck . We re a technology company that lives organizations a process and context to solve problems in unconventional ways. We re a catalyst for organization s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable. Qualification : Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, or a Master of Technology (M.Tech) in Data Science or Big Data Analytics

About Comcast: Comcast is a Fortune 50 leader at the intersection of media and technology. With a focus on innovation, we create groundbreaking entertainment and online experiences for millions of customers worldwide. If you're passionate about teamwork, revolutionizing industries, and leading the future of media and technology, Comcast is the place to grow your career. Job Summary: The Data Analyst will work cross-functionally to collect, analyze, and model data to uncover trends and provide actionable insights. You'll support key business decisions through exploratory analysis, forecasting, and optimization. This role requires in-depth technical expertise, independent prioritization, and clear communication of findings to stakeholders. Core Responsibilities: Data Collection & Analysis: Work with business leaders to understand requirements and develop technical specifications. Retrieve, analyze, and summarize complex data from platforms like Teradata, SQL Server, Hadoop, and AWS. Identify relevant data sources and combine disparate datasets for actionable insights. Exploratory & Predictive Analysis: Conduct exploratory data analysis and hypothesis testing to uncover trends and drivers. Develop forecasting models for key business metrics such as sales and demand. Measure the impact of campaigns, features, or initiatives and identify opportunities for improvement. Visualization & Communication: Create narrative-driven presentations and effective data visualizations for executives and decision-makers. Communicate insights clearly and concisely to influence strategic business decisions. Innovation & Collaboration: Stay updated on trends in analytics, statistics, and machine learning, and apply them to solve business challenges. Promote a culture of knowledge sharing, healthy skepticism, and teamwork within the organization. Customer-Focused Approach: Drive results by integrating feedback from customers and employees via Comcast s Net Promoter System (NPS). Champion the customer experience and advocate for seamless digital interactions. Compliance & Accountability: Adhere to Comcast s Operating Principles and ensure regular, consistent, and punctual attendance. Fulfill additional duties as needed. Qualifications: Must-Have: Proven experience with big data platforms (e.g., Teradata, SQL Server, Hadoop, AWS). Strong proficiency in data analysis, hypothesis testing, and forecasting techniques. Ability to develop clear and compelling data visualizations and presentations. Exceptional problem-solving and independent judgment skills. Preferred: Knowledge of emerging analytics trends, statistics, and machine learning. Experience with business operating frameworks and a results-driven approach. Familiarity with Net Promoter System (NPS) feedback integration. Diversity & Inclusion: We believe diverse perspectives drive innovation and success. Growth-Oriented Culture: We foster an environment of learning and collaboration. Employee Benefits: Comprehensive benefits package, flexible schedules, and career development opportunities. Impactful Work: Be part of an organization that shapes the future of media and technology. Disclaimer: This description provides a general overview of the role. It is not intended to encompass all responsibilities or qualifications. Comcast is proud to be an equal-opportunity workplace, considering all applicants regardless of race, religion, gender, disability, or veteran status.

We are seeking a Senior Data Scientist with experience in various data science techniques, tools, and cloud providers. The ideal candidate will be responsible for designing, developing, and implementing cutting-edge data science models and machine learning algorithms to tackle complex problems in various domains. You will work closely with cross-functional teams to understand business requirements, identify opportunities for applying machine learning/deep learning/AI techniques, and deliver innovative solutions that push the boundaries of AI technology. This role requires a strong background in machine learning, deep learning, and computer vision, along with a passion for exploring and experimenting with state-of-the-art models. Responsibilities Design, develop, and implement novel data science models and machine learning algorithms that solve complex problems. This includes architectural design, data preprocessing, training, optimization, and evaluation of models Collaborate with data engineers and data scientists to collect, pre-process, and curate datasets suitable for training Train and fine-tune machine learning/deep learning models using large-scale datasets and distributed computing frameworks. Optimize models for performance, efficiency, and scalability Design and conduct experiments to evaluate the performance, robustness, and generalization of machine learning/deep learning models Use appropriate metrics and statistical analysis to measure and interpret results Prepare technical documentation, including model architecture, implementation details, and experimental results. Communicate findings, insights, and recommendations to both technical and non-technical stakeholders Requirements Bachelor s or master s degree in computer science, Data Science, Statistics, or related field 5 to 8 years of solid foundation in Machine Learning, Deep Learning, Computer Vision, NLP Proficiency in Python Experience Deep Learning frameworks like Tensorflow, Pytorch, Keras, Jax, etc Experience with pandas, scikit-learn, matplotlib, spacy, statsmodel, etc General understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts Knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability Familiarity with cloud services (AWS, Google Cloud, Azure) Excellent written and verbal communication skills Nice to have Proficiency in Docker and Kubernetes We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : Bachelors or masters degree in computer science, Data Science, Statistics, or related field

About ICON: ICON is the world s largest and most comprehensive clinical research organization, powered by healthcare intelligence. We are at the forefront of transforming healthcare by providing global clinical research solutions that help our clients develop groundbreaking treatments. With a commitment to excellence and innovation, we offer a dynamic and inclusive environment where every team member contributes to life-changing solutions. Role Purpose: As a Senior Clinical Data Coordinator (CDC), you will play a key role in ensuring the accurate, complete, and consistent generation of clinical databases. You will support various clinical data management activities to meet project-specific timelines, while adhering to Good Clinical Practices (GCP), ICON Standard Operating Procedures (SOPs), and relevant regulations. This role is ideal for professionals with experience in clinical data management, strong problem-solving skills, and a passion for ensuring high-quality data in clinical trials. Key Responsibilities: Data Management Activities: Perform core data management tasks, including data cleaning, query management, and external data reconciliations. Handle SAE (Serious Adverse Event) reconciliations and support study conduct and closeout activities. Download and import data into multiple systems, supporting data transfer processes and systems. Study Setup & Support: Assist in study set-up in the ADDS (Automated Data Download System). Work with data managers to handle questions, troubleshoot issues, and resolve data-related concerns. Technical & Compliance Support: Ensure compliance with GCP, SOPs, ICH guidelines, and applicable regulations. Support the specifications for conformance checks, data transfer agreements, and systems used for downloading/importing data. Collaboration & Communication: Maintain day-to-day contact with data managers and cross-functional teams. Communicate effectively across global teams and external stakeholders. Qualifications & Skills: Educational Background: University or college degree in Life Sciences, Computer Science, Pharmacy, Nursing, or a relevant equivalent degree. Experience: Minimum 4-6 years of experience in core Data Management (DM) activities within clinical trials. Hands-on experience with Query Management, Data Cleaning, External Data Reconciliations, SAE Reconciliations, Conduct Activities, and Closeout Activities. Strong experience with Electronic Data Capture (EDC) systems, Veeva EDC preferred. Technical Skills: Knowledge of end-to-end clinical trial data transfer processes. Proficiency in clinical data management systems and processes. Personal Skills: Excellent problem-solving skills and ability to work under pressure. Strong interpersonal skills and the ability to communicate effectively in a global, diverse environment. Excellent written and verbal communication skills. What ICON Can Offer You: ICON values its people, offering a competitive salary and benefits designed to enhance well-being and work-life balance. Some of the benefits include: Annual Leave Entitlements A range of health insurance offerings for you and your family Retirement Planning offerings for financial security Global Employee Assistance Programme (TELUS Health) offering 24/7 support Life Assurance Flexible country-specific optional benefits like childcare vouchers, gym memberships, subsidised travel passes, and more. Why Join ICON? ICON offers a dynamic environment where you will be part of a diverse team contributing to cutting-edge healthcare solutions. Join us and be part of a culture that rewards high performance and nurtures talent, with ample opportunities for growth and development in the clinical research field. If you have the relevant experience and are passionate about contributing to global clinical research, apply now and help us make a lasting impact on healthcare. Qualification : University or college degree in Life Sciences, Computer Science, Pharmacy, Nursing, or a relevant equivalent degree.

Billing Specialist (Demo and Charge Entry) Location: Chennai Department: Billing Operations Career Band: Professional II Role Overview: The Foundation of Billing Accuracy We are seeking a detail-oriented Billing Specialist to manage the critical front-end of our Revenue Cycle. You will be responsible for the precise entry of Demographics and Charges, ensuring that patient information is verified and billing data is submitted according to strict client protocols. Core Technical Responsibilities Data Management & Entry: Demographics (Demo) Entry: Accurately pull or create patient records using Face Sheets. Verify name, DOB, and contact details to prevent downstream claim rejections. Charge Entry: Translate medical services into billable charges by following specific Client Protocols and guidelines. Document Handling: Access and securely download Super Bills and Face Sheets from client file servers. Verification & Quality Control: Insurance Eligibility: Proactively check and update Eligibility Status to ensure the insurance provider is active before billing. Log Maintenance: Track and maintain status logs to ensure 100% accountability for all files received. Query Resolution: Maintain a real-time query log and ensure all client queries are updated by End of Day (EOD). Requirements & Qualifications Experience: Minimum 1 year of professional experience specifically in Demo and Charge Entry. Education: Graduate in any stream. Typing Proficiency: High speed and accuracy in typing to meet daily volume targets. Attention to Detail: Ability to spot discrepancies between Face Sheets and system data. Reporting Structure: Reports to Team Leader Billing Operations. Qualification : Graduate in any stream

Integration Engineer Location: Chennai Experience Required: 4 5 Years Domain: US Healthcare / RCM Role Overview: Architecting Healthcare Connectivity We are seeking a Integration Engineer to build and maintain the bridges between healthcare platforms, clearinghouses, and our in-house data engine. You will be responsible for ensuring seamless data flow across EMRs, PM systems, and clearinghouses, leveraging a mix of traditional EDI standards and modern API-driven automation to drive RCM efficiency. Technical Expertise & Required Skills Healthcare Interoperability & EDI: X12 EDI Transactions: Hands-on implementation of 837 (Claims), 835 (Remittance), 270/271 (Eligibility), and 276/277 (Claim Status). HL7 & Standards: Deep understanding of HL7 interfaces for real-time and batch healthcare data exchange. Clearinghouse Integration: Proven experience connecting healthcare systems with major clearinghouses and data platforms. Automation & Modern Development: Web Scraping: Proficiency in Node.js and Puppeteer.js for headless browser automation and complex data extraction. API & Web Services: Strong experience with REST and SOAP API integrations. Cloud Environment: Familiarity with Google Cloud Platform (GCP), specifically App Engine, Cloud Functions, and Pub/Sub. Data Architecture: Solid understanding of NoSQL databases and data transformation pipelines. Key Responsibilities Design & Development: Architect seamless integrations between internal data engines and third-party healthcare applications. Compliance Management: Ensure all data exchanges strictly adhere to HIPAA standards and healthcare security protocols. Cross-functional Collaboration: Partner with Data Science and Automation teams to deploy and monitor integrations in GCP environments. System Optimization: Proactively troubleshoot and enhance integration performance for maximum scalability and reliability. Legacy Support: (Preferred) Work with PHP (Laravel) applications where necessary to maintain existing integration logic. What Makes You a Great Fit 4 5 years of specialized experience in the US Healthcare RCM domain. The ability to handle "non-standard" data extraction through automation workflows when traditional APIs are unavailable. Excellent debugging skills for complex, multi-party data pipelines. A collaborative mindset focused on creating high-impact, innovative healthcare technology solutions.