Represent fund day-to-day data collection processes and issues, and work with Data Scientists to identify potential areas for improvement where Machine Learning models can be applied for better process efficiency and data quality. Facilitate applying of Machine Learning models in data collection processes to support business growth. Contribute to AI-enhanced data collection activities and future data flow discussions as a domain expert. Partner with Data Scientists to build/tune the Machine Learning models, monitor the performance of ML models, and analyze ML results. Work closely with global data collection teams across various functions to achieve the desired outcome Build maintain the documentation on ML models. Diagnose data issues in daily processes, identify root causes, and relay the issue to Data Scientists if necessary. Formulate and refine data annotation scheme and annotate training data. Requirements: Current role of Senior Data Research Analyst (SDRA) Applicant should be AI/ML Practitioner program certified. Proven ability to articulate the problem statement and business requirements for building ML models. Understand Morningstar data collections processes and the methodologies for collecting those data points. Advanced Excel and SQL skills are required, basics of Python and regex is preferred. Proven ability to automate data collection, tasks/reports by using excel macros, SQL queries or data automation projects, is a plus. Good English verbal/written communication skills. Good people and project management skills. Self-motivated, detail-oriented, and organized. Bachelor/master s degree in finance/business/mathematics with an exceptional academic record or other professional certificates like PMP and/or CFA is valued.

Perform Quality review on all OSP Engineering Design packages. Ensure that all Aerial, Underground and Buried cable designs have been reviewed and analyzed for the most cost-effective solutions and placement. Verify that the Customer scope of work or plan was followed. Verify that all existing underground and aerial facilities are correctly located per customer records, city records, and per field conditions. Accurately depict new construction route opportunities, with the ability to identify, research and problem solve cable path/placement issues and accurately relay solutions to the engineering team. Identify missing and/or incorrect design information. Communicate quality issues with the engineer and engineering manager to find resolution. Approve designs before submittal to customer. Ensure current design is the most effective and efficient plan to follow. Ensure designs are in accordance with customer specifications and guidelines. Manage and enforce engineering quality and compliance with outside plant design specification. Own the quality control process to produce a value-engineered design, removing all obstacles for construction. Required Qualifications High school diploma or GED equivalent. 3+ years of OSP engineering experience. Working knowledge of client software systems, ARAMIS, BST-CAD, OSPCM, JMS (OPEDS), AOtX,AOTS, PLANET, CEEOT, MMT, PM Tool, EFACTS, MIC, LFACS, GRANITE and OCALC. Experience with the following fiber technologies: Overbuild/LightGig/ASE/BAU. Should have strong understanding of Design and construction of Outside Plant Copper and Fiber Optic Cable (UG, Aerial, Buried, BIC) and manhole and conduit design. Knowledge of Fiber backbone (F1) and distribution networks (F2). Knowledge of Corning Flexnap cable design and terminal placement. Knowledge of permitting processes (highway, railroad, city, county, etc.) Ability to upload/download and edit documents in Project Management software. Intermediate skills in Microsoft Office programs and Adobe Acrobat. Working knowledge of Google Earth/Maps. Highly organized, self-starter, and detail oriented. Possess strong professional written, verbal, and interpersonal communication skills. Excellent time management. Strong attention to detail. Ability to take direction with ease, including changes to schedule and workflow priorities. Ability to work independently and as a Team member Critical thinking skills: make assessments and provide solutions to problems. Desired Qualifications Bachelor s degree in Science, Technology, Engineering or Mathematics preferred. Experience in either the engineering, construction, architecture, or telecommunications industries. Knowledge and experience with telecommunications engineering standards, with previous LightGig or fiber overbuild design or quality control experience preferred. Capable of identifying issues in the design that would have a potential to impact network buildout. Able to collect necessary data from the field for determining a design including all necessary OSP features. Experience with interpreting cable or substructure designs. Knowledge and experience with telecommunications construction techniques Able to identify and suggest all types of construction methods within ROW, identify assumed public ROW, visually identify existing utilities. Basic Knowledge of Make-Ready Construction Able to identify potential cable moves and, guying and anchoring requirements to make room for new cable attachments.

Manages and analyses HSEC performance data, ensuring compliance with regulatory requirements, and supporting the continuous improvement of HSEC systems and processes Supports data collection, analysis, and reporting to provide insights that drive safety, security, environmental, and compliance performance Provides comprehensive systems information services to Global Castrol HSSEC, and Performance Unit and Agile Teams Provides comprehensive, accurate, valuable and timely HSEC key performance indicators data to bp Assesses and trends data to identify HSEC risk areas and build valuable reports to share across the organisation to help drive risk reduction plans and actions Supports critical global HSSEC database systems, including but not limited to IRIS, My Talent Learning (MTL), KPI dashboards and Compliance Task Manager What you will deliver Data Management: Supports the PUs, SMEs and OMS tags to deliver performance metrics (leading and lagging indicators). Collect, validate, and manage HSEC data from BP/Castrol systems (e.g. IRIS, Power BI, MTL). Performance Analysis: Analyses HSEC performance data to identify trends, insights, and areas for improvement. Reporting: Supports PUs incident recording reporting. Prepare and distribute HSEC performance reports. System Administrator Support: Maintains and supports HSEC systems, ensuring data integrity, system functionality and troubleshooting. Supports data timelines for incident investigations, Self-Verification (SV) inspections and compliance tasks, ensuring that reports are circulated to designated customers and entered into IRIS, to ensure that actions are completed on time. Provides direction and training to the HSEC teams, IRIS users and other customers to ensure consistency and accuracy in reporting across Castrol. Analyses Incidents and incident trends, identifying key findings, and provide reports to HSEC and Castrol management teams. Supports customers to maintain appropriate leading / lagging KPI s for performance monitoring with Castrol and BP networks. Experience and Qualifications University degree (or equivalent work experience). Degree or equivalent experience in HSEC desirable. Skills Competencies 3-5 years of experience in HSEC data analysis, reporting and systems management. Strong written and spoken communication skills and proficient in English. Proficiency in data analysis tools (e.g., Excel, Power BI, IRIS). Understanding of HSEC regulations and standards. Excellent analytical and problem-solving skills. Good communication and interpersonal skills. Ability to work independently and as part of a team. Attention to detail and strong organizational skills. Experience with HSEC management systems (e.g., Excel, Power BI, IRIS). Experience within an international business environment.

About the position: The Machinery Engineer is part of the Materials, Equipment, and Quality team within Chevron s ENGINE Center and provides remote monitoring, diagnostics, and development of new solutions for critical rotating equipment across Chevron operating assets. Monitoring activities include the review of predictive analytics alerts and reviews vibration trends, providing insights to business unit customers through weekly or bi-weekly reporting and meetings. Key responsibilities: Performs remote support through exception-based monitoring of critical rotating and reciprocating machinery across Business Units and business segments, as an extended member of the Machinery and Power Support Center. Supports expansion of predictive analytics and other advanced analysis tools for machinery performance evaluation and early warning detection. Engages with Business Units on equipment troubleshooting and identification of long-term trend deviation and equipment degradation. Utilizes online condition monitoring programs to support asset health evaluations. Supports data collection and reporting for benchmarking of critical rotating equipment reliability and efficiency metrics. Supports data gathering for advanced machinery issues and collaboration with Subject Matter Experts. Scales and develops analytics for machinery performance analysis and mechanical condition monitoring utilizing a combination of 3rd party and Chevron-developed solutions Supports data gathering for equipment benchmarking Teams with BU customers and Technical Center experts to diagnose complex issues Required Qualifications: Bachelor of Science in Mechanical Engineering from a recognized (AICTE) university Extensive experience in rotating equipment operation, maintenance, system optimization and machinery condition monitoring analysis Preferred Qualifications: 10+ years experience as a machinery engineer or analyst in an Oil and Gas operating facility Skilled use of SmartSignal predictive analytics software Vibration analysis certification Aveva PI time series data analysis Prior experience working in Oil and Gas Processing facility Prior experience using OSI Plant Information and SEEQ is a plus. Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00am to 5:00pm or 1:30pm to 10:30pm. Chevron participates in E-Verify in certain locations as required by law. Bengaluru, Karnataka Privacy and Terms and Conditions We respect the privacy of candidates for employment. This Privacy Notice sets forth how we will use the information we obtain when you apply for a position through this career site. If you do not consent to the terms of this Privacy Notice, please do not submit information to us. Please access the Global Application Statements , select the country where you are applying for employment. By applying, you acknowledge that you have read and agree to the country specific statement. Terms of Use

Job Title: Land Surveyor (2 Positions)- Bridge Company: Royal Infraconstru Ltd. (Part of the ROYAL Group) Location: Project Sites (As per company requirements) Industry: Infrastructure, Civil Engineering, Railways, Bridges Job Overview: Royal Infraconstru Ltd. is seeking experienced Land Surveyors to join our dynamic team. The ideal candidates should have hands-on experience in surveying for bridges or railway projects , with expertise in using Total Station, AutoCAD, and topographic surveys . The role demands precision, efficiency, and collaboration with design teams to ensure accurate and timely survey data collection. Key Responsibilities: Conduct land and site surveys using Total Station and other surveying instruments. Prepare topographic surveys, layouts, and contour maps using AutoCAD. Assist in setting out alignments, levels, and reference points for construction activities. Ensure accurate data recording and mapping to support project design and execution. Coordinate with the design team to validate survey data and implement modifications if required. Prepare and submit detailed survey reports within the project timeline. Work closely with project managers, engineers, and contractors to ensure compliance with project specifications. Identify and rectify discrepancies in site measurements and plans. Adhere to safety and quality standards while conducting fieldwork. Key Skills Qualifications: Education: Diploma/Degree in Civil Engineering, Surveying, or a related field. Experience: Minimum 3-5 years of experience in land surveying for bridge or railway projects . Technical Proficiency: Hands-on experience with Total Station and AutoCAD . Understanding of GPS and GIS technologies. Knowledge of surveying principles, leveling, and setting out methods . Strong analytical and problem-solving skills. Ability to work in challenging site conditions and meet deadlines. Performance Metrics: Accuracy of surveying reports and layouts. Timely submission of survey data and reports. Effective coordination with design and execution teams . Salary: 25,000 to 40,000 per month.

About ProcDNA: ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. Were a passionate team of 275+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you wont be stuck in a cubicle - youll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isnt just encouraged, its ingrained in our DNA. What we are looking for: Youll build and maintain systems for efficient data collection, storage, and processing to ensure data pipelines are robust and scalable for seamless integration and analysis. We are seeking an individual who not only possesses the requisite expertise but also thrives in the dynamic landscape of a fast- paced global firm. What you ll do: Design/implement complex and scalable enterprise data processing and BI reporting solutions. Design, build and optimize ETL pipelines or underlying code to enhance data warehouse systems Work towards optimizing the overall costs incurred due to system infrastructure, operations, change management etc. Deliver end-to-end data solutions across multiple infrastructures and applications Coach, mentor, and manage a team of junior associates to help them (plan tasks effectively and more) Demonstrate overall client stakeholder and project management skills (drive client meetings, creating realistic project timelines, planning and managing individual and teams task) Assist senior leadership in business development proposals focused on technology by providing SME support Build strong partnerships with other teams to create valuable solutions Stay up to date with latest industry trends Must have: 5-8 years of experience in designing/building data warehouses and BI reporting with a B.Tech/B.E background Prior experience of managing client stakeholders and junior team members. A background in managing Life Science clients is mandatory Proficient in big data processing and cloud technologies like AWS, Azure, Databricks, PySpark, Hadoop etc. Along with proficiency in Informatica is a plus Extensive hands-on experience in working with cloud data warehouses like Redshift, Azure, Snowflake etc. And Proficiency in S L, Data modelling, designing ETL pipelines is a must Intermediate to expert-level proficiency in Python Proficiency in either Tableau, PowerBI, Qlik is a must Should have worked on large datasets and complex data modelling projects Prior experience in business development activities is mandatory Domain knowledge of the pharma/healthcare landscape is mandatory

About ProcDNA: ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge technology to create game-changing Commercial Analytics and Technology solutions for our clients. Were a passionate team of 220+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you wont be stuck in a cubicle - youll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isnt just encouraged; its ingrained in our DNA. Ready to join our epic growth journey What we are looking for: Youll build and maintain systems for efficient data collection, storage, and processing to ensure data pipelines are robust and scalable for seamless integration and analysis. We are seeking an individual who not only possesses the requisite expertise but also thrives in the dynamic landscape of a fast-paced global firm. What you ll do: Designgcviujo Must have: 8-12 years ofhjvbkljmo;l

About Bluevine Bluevine is transforming small business banking with innovative solutions like checking, lending, and credit all tailored to help entrepreneurs thrive. With best-in-class technology, advanced security, and a deep understanding of the small business community, we re empowering entrepreneurs to grow with confidence. Backed by leading investors like Lightspeed Venture Partners, Menlo Ventures, 83North, and Citi Ventures, we ve been supporting SMBs since 2013, serving over 500,000 customers nationwide and growing a dynamic global team of 500 people. Our missionTo fuel small businesses with the financial tools they need to succeed. At Bluevine, you ll be part of a collaborative, fast-paced team that s reshaping the future of banking. Ready to make an impact In this role, you will shape and own the ecosystem that productizes our core data products - you will work closely with our Data teams and influence how data is consumed and integrated throughout the organization, take an integral part on the designing of new ML solutions, find innovative solutions for real-time analytics, and build complex data pipelines. What Youll Do: Support Bluevine s business and research Data teams by designing and developing data-centric infrastructure tools to facilitate and enhance Data Analytics and Research, both in real-time and offline. Help design and implement next-generation ML workloads, focusing on modern, efficient Big Data technologies. Use pipeline orchestration tools such as AirFlow, ML platforms such as SageMaker, and data frameworks to design and develop first-in-class solutions for the financial sector. Design and develop end-to-end data pipelines, from data collection, through data validation and transformation, to making the data available to processes and stakeholders. Work closely with Bluevine s Data Science, Data Engineering and Data Analytics teams. Work closely with Bluevine s other RD teams to help incorporate industry best practices, define and enforce data governance procedures, and monitor system performance What We Look For: Bachelor or Master in Computer Science or related field 5+ years of full-time work experience (not including internships, study, personal/school projects) as a Backend engineer/ML Infra engineer in a fast-paced, data-centric environment. 5+ years of hands-on Python programming experience (not including internships, study, personal/school projects). Experience with AWS ecosystem and container technology (e.g. Docker, K8S) Exceptional communication skills, ability to collaborate smoothly with and convey complex ideas in a clear way to people of different backgrounds. Be a quick learner, adaptable and have the ability to work independently or as part of a team in a fast-paced environment Ability to quickly and independently learn new technologies, frameworks, and algorithms. Proactive, result-driven and multi-tasker; creative but committed to meeting deadlines. Very good English, written and verbal. Bonus points if you also have: Experience with AWS SageMaker Experience with databases such as PostgreSQL Redshift, Neptune Experience with monitoring tools like Grafana, Sentry, Opensearch Experience working Python ML libraries (e.g. Pandas, Numpy, Scikit Learn) Experience working with Airflow Experience in working with Jenkins based CI/CD Experience with streaming and real time analytics systems #LI-MS1 #LI-Hybrid Benefits Perks Excellent group health coverage and life insurance Stock options Hybrid work model Meal allowance Transportation assistance (terms and conditions apply) Generous paid time off plan, Holidays Company-sponsored mental health benefits Financial advisory services for both short- and long-term goals Learning and development opportunities to support career growth Community-based volunteering opportunities

Business development with sound knowledge of International market. Deep dive into product knowledge before pitching to International clients. Generate and implement efficient sourcing and category management strategies. Invent negotiation strategies and secure profitable deals with Indian manufacturing companies. Cooperate with stakeholders to guarantee agreement on terms and processes Plan the data acquisition in accordance to the Target market Group and plan the data collection to meet the business deadlines. Discover and partner with trustworthy vendors Domestic and International. Identifying key decision makers of companies and organize mails Research and screening of companies based on industry, product and revenue. Generating data of list of companies from internet / sources /expos/ events/ website of associations/ company websites. Understand various industries and sectors and trends Making MIS reports and maintaining database. Desired Skills: Excellent Communication skill Proven work experience as a Sourcing Manager. Manage a company s sourcing capabilities and channelize the sources from vendors for clients for long term. Responsible for strategizing and negotiating with Indian suppliers/vendors in order to acquire the most cost-effective deals. Must have basic knowledge of Import & Export. Familiarity with sourcing and vendor management and relevant software as required. Understanding of market dynamics and sound business judgement Ability to negotiate and sustain networking relationships. Comfortable with figures and in collecting, analyzing and interpreting data Solid judgement with ability to make good decisions. Other Skills: Quick learner and self Motived. Must have strong research skills. Good experience with Microsoft Word, Excel, Power Point and Outlook. Strong communication and presentation skills. Open to travel 40-50% as per business requirements. Experience from OEM Industry preferred.

Hands on Experience in GCP Data Components (Big Query / Data fusion / Cloud SQL etc.) Data Lake and Data Warehouse Understanding Manage DevOps lifecycle of project (Code Repository, Build, Release) Good to have end to end BI Landscape knowledge Participate in unit and integration testing Interaction with business users for Requirement understanding and UAT Understanding of Data Security and Data Compliance Agile Understanding Project Documentation Understanding Good SQL Knowledge Certification (Good to have) Domain Knowledge of Different Industry Sector Mandatory skill sets GCP Preferred skill sets GCP

Job Title: Marketing Executive Data Collection Location: Hyderabad, Telangana Company: Harmony United Medsolutions Pvt. Ltd. About Us: Harmony United Medsolutions Pvt. Ltd. [HUMS] is a dynamic and innovative company dedicated to revolutionizing the Healthcare Industry. We at HUMS take pride in being a reliable partner as a Healthcare Management Company. With nine years of experience, we have perfected our end-to-end services in medical billing, A.R. management, and other essential healthcare facets. We provide our services to Harmony United Psychiatric Care, a US-based Healthcare Company. We pride ourselves on our commitment to excellence, creativity, and pushing the boundaries of whats possible. As we continue to grow, we seek a talented candidate to join our team and contribute to our exciting projects. Position overview: As a Marketing Executive focusing on Data Collection, you will support the marketing team by gathering essential data from various sources to assist in market research, analysis, and campaign optimization. You will play a crucial role in providing accurate and timely data to inform marketing strategies. Responsibilities: Conduct data collection through various online and offline methods such as surveys, interviews, focus groups, and market research tools. Assist in the analysis of customer feedback and market trends. Gather competitor data, industry reports, and relevant statistics to help support marketing campaigns. Assist in maintaining and organizing databases with collected data. Collaborate with the marketing team to interpret data and contribute to strategy development. Ensure the accuracy and completeness of collected data. Conduct market research and analyze industry trends to inform strategy and identify opportunities. Requirements: Candidate must have a bachelors degree in marketing, communications or related field. Master s degree will be a plus point. Good understanding of digital marketing channels, including SEO, SEM, email marketing, social media, and display advertising. Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. Certification in Google Analytics, Google Ads, or other relevant digital marketing certifications will be a plus point. Proficient in Microsoft Office (Excel, Word, PowerPoint). Ability to handle multiple tasks and meet deadlines. Diversity, Equality, and Inclusion: Diversity, equality, and inclusion are fundamental to our success at HUMS. We actively promote diversity across all aspects of our organization, including but not limited to gender, race, ethnicity, sexual orientation, religion, disability, and age. We strive to foster an inclusive culture where diverse perspectives are embraced and everyone has equal opportunities to grow, contribute, and succeed. Benefits: Competitive salary (including EPF and PS) Health insurance Four days workweek (Monday Thursday) Opportunities for career growth and professional development Additional benefits like food and cab-drop are available Please submit your resume and cover letter detailing your relevant experience and why you fit this role perfectly. We look forward to hearing from you! In case of any queries, please feel to reach out us at [email protected] Note: Available to take calls between 5:45 PM to 4:45 AM IST only from Monday to Thursday. #LI-DNI

Senior Machine Learning Engineer, Sharechat Who are we and What do we doShareChat (https://sharechat.com/about ) is Indias largest homegrown social media company, with 400+ million monthly active users across all its platforms including Moj, a leading short video app which was launched in a record 30 hours. Founded in October 2015, with a vision of building an inclusive community that encourages empowers each individual to share their unique journey and valuable experiences with confidence. ShareChat is valued at $5 bn. We are spearheading Indias internet revolution by building products through world-class AI tech to evangelize the content ecosystem for India in regional languages. We believe in complete ownership of problem-solving while committing to speed and integrity in everything we do. We place the utmost importance on user empathy strive to work towards creating a world-class experience for them every day. Join us to drive how the next billion users will interact on the internet! What does the team doEnsuring platform safety and integrity through AI driven moderation of user uploaded content across Moj and Sharechat which includes multimedia posts, live streams, chatrooms and comments. Leverage cutting-edge NLP and CV algorithms for effectively detecting and preventing harmful content among millions of daily uploaded content. As part of the Trust and Safety team, you will design and develop machine learning models that identify and mitigate risks on our platform. What You ll DoWe are seeking a highly skilled Machine Learning Engineer to join our Trust and Safety team. You will be designing, developing and deploying models that detect and prevent harmful content on our platform. The role gives you the opportunity to: Design and implement pipelines for data collection and processing. Design solution for detecting NSFW visual/textual content using NLP/CV. Conduct experiments and document the results on a regular basis. Code up the solution and conduct extensive offline experiments for validating the solution. Monitor the deployed solution and make iterative improvements. Collaborate with peers and stakeholders to define problem areas and deliver actionable solutions. Contribute to research and development efforts in Trust and Safety to stay ahead of threats. Who are you4+ years of industry experience with solid understanding of Machine Learning Fundamentals. Experience in distributed systems and shipping machine learning models to the production. Experience in developing end-to-end solutions for problems specific to either Computer Vision / Natural Language Processing. Proficiency in Python and good knowledge of deep learning frameworks like Tensorflow / PyTorch. Experience with OpenCV / NLTK is a bonus. Awareness of recent research publications (specific to domain) and ability to translate them into working code. Ownership of the problem and drive to deliver results. Ability to work in an ambiguous problem setting and collaborate with others to drive clarity. Strong focus towards action and rapid iteration in a fast paced environment. Where you ll beBengaluru, Karnataka, India Know more about us: AI @ ShareChat | AI Projects @ ShareChat / Scaling AI to billion users ShareChat Ads Get to know our Co-Founder CEO YT Get to know our Co-Founder CEO Spotify Our Blog Whats in it for youAt ShareChat, our values - Ownership, Speed, User Empathy, Integrity, and First Principles - are at the core of our ways of working. We believe in hiring top talent and grooming future leaders by providing a flexible environment to aid growth and development. We also offer several benefits to our employees - like ESOPs, monthly childcare allowance for women employees, insurance coverage, and more.

Job Title: Marketing Executive Data Collection Location: Hyderabad, Telangana Company: Harmony United Medsolutions Pvt. Ltd. About Us: Harmony United Medsolutions Pvt. Ltd. [HUMS] is a dynamic and innovative company dedicated to revolutionizing the Healthcare Industry. We at HUMS take pride in being a reliable partner as a Healthcare Management Company. With nine years of experience, we have perfected our end-to-end services in medical billing, A.R. management, and other essential healthcare facets. We provide our services to Harmony United Psychiatric Care, a US-based Healthcare Company. We pride ourselves on our commitment to excellence, creativity, and pushing the boundaries of whats possible. As we continue to grow, we seek a talented candidate to join our team and contribute to our exciting projects. Position overview: As a Marketing Executive focusing on Data Collection, you will support the marketing team by gathering essential data from various sources to assist in market research, analysis, and campaign optimization. You will play a crucial role in providing accurate and timely data to inform marketing strategies. Responsibilities: Conduct data collection through various online and offline methods such as surveys, interviews, focus groups, and market research tools. Assist in the analysis of customer feedback and market trends. Gather competitor data, industry reports, and relevant statistics to help support marketing campaigns. Assist in maintaining and organizing databases with collected data. Collaborate with the marketing team to interpret data and contribute to strategy development. Ensure the accuracy and completeness of collected data. Conduct market research and analyze industry trends to inform strategy and identify opportunities. Requirements: Candidate must have a bachelors degree in marketing, communications or related field. Master s degree will be a plus point. Good understanding of digital marketing channels, including SEO, SEM, email marketing, social media, and display advertising. Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. Certification in Google Analytics, Google Ads, or other relevant digital marketing certifications will be a plus point. Proficient in Microsoft Office (Excel, Word, PowerPoint). Ability to handle multiple tasks and meet deadlines. Diversity, Equality, and Inclusion: Diversity, equality, and inclusion are fundamental to our success at HUMS. We actively promote diversity across all aspects of our organization, including but not limited to gender, race, ethnicity, sexual orientation, religion, disability, and age. We strive to foster an inclusive culture where diverse perspectives are embraced and everyone has equal opportunities to grow, contribute, and succeed. Benefits: Competitive salary (including EPF and PS) Health insurance Four days workweek (Monday Thursday) Opportunities for career growth and professional development Additional benefits like food and cab-drop are available Please submit your resume and cover letter detailing your relevant experience and why you fit this role perfectly. We look forward to hearing from you! In case of any queries, please feel to reach out us at [email protected] Note: Available to take calls between 5:45 PM to 4:45 AM IST only from Monday to Thursday. #LI-DNI

Job title: Principal Data Standards Analyst Location: IN / Hyderabad Grade: L2-2 Hiring Manager: Manuel Anido About the job Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. ReadyAs Principal Data Standards Analyst within our Clinical Information Governance, As a member of a CIG (Clinical Information Governance) team, the Principal Data Standards Analyst acts as a metadata expert as he/she provides in-depth knowledge and guidance on clinical data standards (CDISC) and best practices for metadata management across global and study-specific levels. Understand the CDISC models (CDASH, SDTM, External Data, Controlled Terminology) and all regulatory requirements regarding Data Standards. Actively leads Therapeutic Area Working Groups. The Principal Data Standards Analyst will bridge the gaps between global metadata strategy and its adoption within therapeutic area studies. The Principal Data Standards Analyst represents Sanofi in all internal external networks initiatives (CDISC, TransCelerate, etc.), monitor actively Health Authorities requirements, and promotes Data Standards knowledge and best practices within Sanofi. At the study level, the Principal Data Standards Analyst supports clinical teams in supervising the review of study-specific metadata based on customer needs and provides effective solutions through regular analysis of information reported from a broad variety of sources. Are you ready to shape the future of medicineThe race is on to speed up drug discovery and development to find answers for patients and their families. Your skills could be critical in helping our teams accelerate progress. Join our Clinical Information Governance team as Principal Data Standards Analyst and you ll help shape the future of Clinical Data Standards at Sanofi and across our industry. Main responsibilities: Acts as a Metadata Lead Expert for CDASH, SDTM, External Data and Controlled Terminology. Understands the application of the CDISC models across the life cycle of a trial. Leads Global/Study Request Review Meetings. Leads eCRF review (study level) with the Study Team and ensure study-specific metadata are aligned with the CIG Clinical Data Standards strategy. Review of study requests (Data Collection, External Data, Controlled Terminology, SDTM). Develop CDISC-compliant end-to-end metadata specifications for new study-specific forms. May lead the creation and upload of study-specific controlled terminology (CT) in the Clinical Data Repos system. Support Clinical Data Standard Leaders with the management of global requests (review/meeting/implementation in Sanofi Metadata/metadata QC/standard documentation updates). Participate in Core and TA standard needs definition (SDTM and TA WG). Contribute to Global governance process definition and/or optimization. Monitor study-specific forms developed with Standard potential at the Therapeutic Area level. About you Experience : Relevant professional experience in Pharmaceutical Industry, with strong involvement in the clinical data flow , specialized in Data Standards Management. Strong knowledge of industry data standards and practices (e.g., CDISC/CDASH/SDTM). Having High level CDISC skills and Metadata Governance practices. (Preferred CDISC certification in one of more of the models). Familiar with end-to-end clinical data flows and data structures. Soft and technical skills : Strong English skills (verbal and written), ability to exchange fluently in a global environment. Efficient communication skills and good organization skills. Ability to negotiate and gain acceptance of others. Ability to coordinate/oversee multiple tasks simultaneously. Project team collaboration by interacting with internal or external partners in/outside the Department and with their leaders. Self-motivated results driven with attention to detail and quality. Education : Bachelor s degree or above, preferably in Life Science or related field Languages : Excellent English language knowledge - written and spoken. Why choose us Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it s through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention, and wellness programs and at least 14 weeks gender-neutral parental leave. This role is critical to our team s success and provides exposure to industry-wide developments of Data Standards. It is an opportunity to become a leader within a network of subject matter experts collaborating to shape the future of Data Standards for Clinical Research. Pursue progress , discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn t happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let s be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com !

Ensure timely availability of accurate data for all reports. Maintain report hygiene with daily updates and parameter accuracy checks. Work on report automation with at least one automation initiative per week. Monitor productivity with an average of 9 working hours daily, ensuring timely report modifications and PIC closures. Support branch modifications and ensure seamless report processing. Continuously learn new reporting techniques and undertake relevant courses for professional growth. Must have: Strong proficiency in data management and reporting tools. Experience in report automation and process improvement. Attention to detail and accuracy in data handling. Ability to manage multiple reports and ensure timely updates. Proactive approach to learning and skill enhancement in MIS functions.

Client & Agency Service Collect, combine, transform and analyze data across multiple datasets and systems Organize and transform financial data into comprehensible structures and prepare into specific reports Ensure accurate and consistent reporting of metrics, collaborating with cross-functional stakeholders to ensure data alignment across the business Develop dashboards and data visualizations that empower non-technical users to understand overall trends and drill into drivers of metric Coordinate and collaborate with our engineering team to maintain the core data models in Power BI and Tableau that support these metrics and ensure data consistency Partner with the Financial Operations team to dive deeper into major trends, helping us understand what is driving those changes Identify opportunities to streamline or automate data collection and improve business processes Organize and transform financial data into comprehensible structures and prepare into specific reports Ensure accurate and consistent reporting of metrics, collaborating with cross-functional stakeholders to ensure data alignment across the business Develop dashboards and data visualizations that empower non-technical users to understand overall trends and drill into drivers of metric Coordinate and collaborate with our engineering team to maintain the core data models in Power BI and Tableau that support these metrics and ensure data consistency Partner with the Financial Operations team to dive deeper into major trends, helping us understand what is driving those changes Identify opportunities to streamline or automate data collection and improve business processes

Roles and Responsibilities Data mining or extracting usable data from valuable data sources Using machine learning tools to select features, create and optimize classifiers Carrying out preprocessing of structured and unstructured data Enhancing data collection procedures to include all relevant information for developing analytic systems Processing, cleansing, and validating the integrity of data to be used for analysis Analyzing large amounts of information to find patterns and solutions Developing prediction systems and machine learning algorithms Presenting results in a clear manner Propose solutions and strategies to tackle business challenges Collaborate with Business and IT teams Requirements Bachelors or Masters degree in Computer Science, Engineering, or related field Proven track record of success in leading Data architecture projects and teams Excellent communication, collaboration, and interpersonal skills Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively

Responsibilities: Data Collection: Conduct thorough research using various methods such as surveys, interviews, and online resources to gather relevant data. Analysis: Analyze quantitative and qualitative data to identify trends, patterns, and key insights that inform business strategies. Reporting: Prepare detailed reports and presentations to communicate findings effectively to stakeholders, ensuring clarity and actionable recommendations. Market Studies: Perform market research to understand industry trends, competitor analysis, and customer preferences, providing valuable insights for decision-making. Collaboration: Work closely with other team members and departments to align research objectives with overall organizational goals. Continuous Learning: Stay up-to-date with industry developments, research methodologies, and tools to enhance research capabilities. Requirements: Proven experience as a Research Analyst or similar role. Strong analytical and critical thinking skills. Proficiency in data analysis software (e.g., Excel, SPSS, R) and research methodologies. Excellent written and verbal communication skills. Ability to manage multiple projects and meet deadlines. Preferred Qualifications: Bachelors or Masters degree in a relevant field (e.g., Social Sciences, Business, Economics). Experience in statistical analysis or project management is a plus.

At Multicon, we are seeking a skilled and detail-oriented Data Analyst with 3-4 years of experience to join our dynamic team. The ideal candidate will bring a strong mathematical background, exceptional numerical skills, and a sharp analytical mindset. This role will primarily support our Forex entity while also contributing to other entities within the organization, ensuring impactful analytics and insights across the entire group. Extract, clean, and validate data from various sources to ensure accuracy and relevance for analysis. Extract, clean, and validate data from various sources to ensure accuracy and relevance for analysis. Analyse financial and operational data trends to provide actionable insights that drive business decisions. Design, develop, and maintain reports and dashboards using advanced Excel (including pivot tables, complex formulas, and VBA scripting) and SQL to present data effectively to stakeholders. Create predictive models and conduct statistical analyses to support strategic planning and decision-making. Identify, track, and evaluate key performance indicators (KPIs) to measure business success. Work closely with teams across departments to understand their data needs and deliver tailored analytical solutions. Address data-related issues promptly, ensuring data integrity and consistent reporting standards. Assist in analysing market trends and competitor performance to provide strategic insights for Forex and other entities. Leverage VBA for automating repetitive tasks, creating custom reports, and optimizing Excel workflows to improve efficiency. Strong analytical and problem-solving skills, Proficiency in a query language, such as SQL, and experience with NoSQL databases, and advanced Excel (pivot tables, macros, etc.), Excellent attention to detail and the ability to interpret complex data effectively,Experience in data visualization tools (e.g., Power BI, Tableau) is a plus, Strong communication skills to present findings and recommendations clearly.

We are seeking a detail-oriented Market Research Analyst to conduct surveys and analyse customer preferences and statistical data. Your role will involve providing valuable insights to support customers in their decision-making processes related to product designs, pricing, and promotions. Your responsibilities will include gathering and interpreting market research data, generating reports, and presenting findings to stakeholders. Responsibilities Collect data on consumers, competitors and market place and consolidate information into actionable items, reports and presentations Understand business objectives and design surveys to discover prospective customers preferences Compile and analyse statistical data using modern and traditional methods to collect it Perform valid and reliable market research SWOT analysis Interpret data, formulate reports and make recommendations Use online market research and catalogue findings to databases Provide competitive analysis on various companies market offerings, identify market trends, pricing/business models, sales and methods of operation Evaluate program methodology and key data to ensure that data on the releases are accurate and the angle of the release is correct Remain fully informed on market trends, other parties researches and implement best practices

Key roles and responsibilities Conduct comprehensive analyses, including Carbon Emissions Tracking, Carbon Footprint Assessments, Environmental Impact Analyses, Life Cycle Assessments (LCAs), Emissions Reduction Strategies, Climate Policy Development, Advocacy, Climate Modeling, Scenario Planning, and target setting aligned with Science-Based Targets (SBTi). Develop and execute data-driven strategies to assist investment managers and portfolio companies in reducing carbon emissions and setting targets. Lead initiatives to improve the sustainability performance of the Apex Group and promote responsible business practices across the organization. Contribute to the enhancement of existing ESG products and the development of innovative new offerings. Stay informed on global ESG standards and frameworks, ensuring the firms services meet current and emerging market expectations. Skills and qualifications required A masters degree in environmental engineering, sustainability, or a related field is required. Additional certifications in climate risk or ISO standards are highly desirable. Extensive experience in climate change, environmental issues, and sustainability, particularly within reputable consulting or advisory firms, financial services, or research organizations. Hands-on experience in carbon footprint analysis, GHG assessment, and climate risk advisory, with strong technical expertise in climate change, SBTi, LCA, ISO 14044/14064, decarbonization strategies, and climate risk modeling. A deep understanding of sustainability challenges across various industry sectors. Proficiency in ESG frameworks, such as SASB, GRI, TCFD, UN PRI, CSRD/NFRD, and SFDR. Strong skills in quantitative and qualitative data collection, analysis, and reporting. Excellent communication and interpersonal skills, with the ability to influence both internal and external stakeholders effectively. High proficiency in video conferencing, written communication, and presentation skills. Exceptional organizational skills and a keen attention to detail. Proficiency in MS Office is essential. Knowledge of programming languages is an added advantage. For Senior Associate and above positions: Experience in people management, product management, and process improvements is advantageous. Prior consulting or advisory experience is mandatory for Senior Associate and above roles.

Sales Generation Create strategies to meet given sales targets and expand the customer base. Drive sales through direct interactions with end users and system integrators. Identify and create new sales opportunities mainly through cold physical visits, cold calls and direct mail campaigns. You are required to prepare proposals by conducting initial studies and estimates through established questionnaires and data collection, necessary for submitting a techno-commercial offer Pre-Sales and Post-Sales Activities Develop and maintain strong customer relationships.

Key roles and responsibilities Conduct comprehensive analyses, including Carbon Emissions Tracking, Carbon Footprint Assessments, Environmental Impact Analyses, Life Cycle Assessments (LCAs), Emissions Reduction Strategies, Climate Policy Development, Advocacy, Climate Modeling, Scenario Planning, and target setting aligned with Science-Based Targets (SBTi). Develop and execute data-driven strategies to assist investment managers and portfolio companies in reducing carbon emissions and setting targets. Lead initiatives to improve the sustainability performance of the Apex Group and promote responsible business practices across the organization. Contribute to the enhancement of existing ESG products and the development of innovative new offerings. Stay informed on global ESG standards and frameworks, ensuring the firms services meet current and emerging market expectations. Skills and qualifications required A masters degree in environmental engineering, sustainability, or a related field is required. Additional certifications in climate risk or ISO standards are highly desirable. Extensive experience in climate change, environmental issues, and sustainability, particularly within reputable consulting or advisory firms, financial services, or research organizations. Hands-on experience in carbon footprint analysis, GHG assessment, and climate risk advisory, with strong technical expertise in climate change, SBTi, LCA, ISO 14044/14064, decarbonization strategies, and climate risk modeling. A deep understanding of sustainability challenges across various industry sectors. Proficiency in ESG frameworks, such as SASB, GRI, TCFD, UN PRI, CSRD/NFRD, and SFDR. Strong skills in quantitative and qualitative data collection, analysis, and reporting. Excellent communication and interpersonal skills, with the ability to influence both internal and external stakeholders effectively. High proficiency in video conferencing, written communication, and presentation skills. Exceptional organizational skills and a keen attention to detail. Proficiency in MS Office is essential. Knowledge of programming languages is an added advantage. For Senior Associate and above positions: Experience in people management, product management, and process improvements is advantageous. Prior consulting or advisory experience is mandatory for Senior Associate and above roles.

Experience : Fresher Qualification : Post Graduate Degree in Marine Geophysics/Marine Geophysics Job Summary : We are seeking a highly motivated Trainee - Geophysicist to join our team in the marine industry. The selected candidate will assist in conducting geophysical surveys, data acquisition, and interpretation using advanced marine survey equipment and software. This role provides an excellent opportunity to gain hands-on experience in offshore and nearshore geophysical investigations. Key Responsibilities: : Assist in marine geophysical survey operations, including data acquisition, processing, and interpretation. Operate and maintain geophysical survey equipment such as Sub-Bottom Profiler (SBP), Magnetometer, and Side Scan Sonar. Work with hydrographic and geophysical survey software, including Hypack and Qinsy, for data collection and processing. Support the planning and execution of geophysical investigations for subsea infrastructure, pipeline routes, and seabed mapping. Assist in analyzing and interpreting geophysical data to identify geological formations and seabed characteristics. Prepare technical reports and documentation based on survey findings. Collaborate with senior geophysicists and field teams to ensure accurate data collection and quality control. Adhere to health, safety, and environmental regulations during offshore and field operations. Qualifications & Skills:: Educational Qualification: Postgraduate degree in Marine Geophysics, Applied Geology, Marine Geology, or Geology. Strong theoretical knowledge of marine geophysical survey techniques and geological processes. Familiarity with geophysical survey instruments such as SBP, Magnetometer, and Side Scan Sonar. Proficiency in geophysical and hydrographic software such as Hypack and Qinsy. Good analytical and problem-solving skills. Ability to work in offshore and field environments as required. Strong teamwork, communication, and adaptability skills. Willingness to travel and work on marine survey projects

About G2 - Our People G2 was founded to create a place where people will love to work. We strive to create meaning in work and provide more than just a job: a true calling. At the heart of our community and culture are our people. Our global G2 team comes from a wide range of backgrounds and experiences, and that s what makes our G2 community strong and vibrant. We want everyone to bring their authentic selves to work, and we do this through our company and team events, our G2 Gives charitable initiatives, and our Employee Resource Groups (ERGs). Our employee-led, leadership-supported ERGs celebrate the diversity of our team, foster inclusivity and belonging, and create a space to connect to each other. Through connections and understanding, we build a stronger and more dynamic global team and help every person reach their personal peak. We support our employees well-being by providing extensive benefits, including flexible work, aligned time off, and various leave options such as maternity, paternity, and sabbatical leaves. Click here to learn more about our benefits. About G2 - The Company When you join G2 , you join the global team behind the largest and most trusted software marketplace. Every month, 5.5 million people come to G2 to inform smarter software decisions based on honest peer reviews. Authenticity is our focus, and every day we help thousands of companies, and hundreds of employees, propel their potential. Ready for meaningful work that starts and ends with compassion and heartYou ve come to the right place. G2 is going through exciting growth! We ve recently secured our Series D funding of $157 million, which will further allow us to grow and develop our product and people. Read about it here ! About the Role G2 is looking for a Data Scientist - II, your role encompasses leading model development and contributing to machine learning product development. Youll own end-to-end data science workflows, experiment with advanced algorithms, mentor junior team members, and drive innovation within the data science domain. You will work on Improving G2 s intent scoring, content moderation, and other AI-driven features through the use of machine learning.This is a hybrid position, with the team meeting in person 2-3 days a week at our Bengaluru office. In this role, you will: Modeling and Statistical Analysis: Independently lead the development of machine learning models, owning feature engineering, extraction, model selection, and optimization Design experiments by formulating statistical hypotheses, defining data requirements, pre-processing and cleaning the data, and performing the hypothesis testing. Operationalise models at scale applying AI and engineering best practices by working with the ML engineers. Experiment with various algorithms and techniques to advance model performance. Define feedback and evaluation methods for the business problems. Demonstrate excellent coding and debugging skills. Business, Data Understanding, and Impact : Make impactful contributions by leveraging AI and Machine Learning expertise to address pressing business challenges. Collaborate with cross functional teams to understand the business requirements and data architecture. Translate business requirements into technical solutions by working with the business and senior data scientists. Identify and document the data requirements and manage data collection and preparation for projects. Design and document training and testing strategy. Document methodologies, findings, and outcomes of model experiments and present it to the team and key stakeholders. Mentorship and Collaboration : Mentor junior team members, providing technical support, guidance on model development, and best practices implementation. Coach junior team members, helping them understand complex datasets, models, and business requirements by giving clear and actionable feedback. Encourage the development of best practices and innovative approaches in data analysis and modeling. Qualifications: 4+ years of experience as a data scientist involved in data extraction, analysis, and modeling. 4+ years of experience in Python and SQL or related tools for machine learning. Understanding of statistics and linear algebra. Proficiency in machine learning algorithms and all stages of machine learning. Familiarity with neural networks and deep learning. Basic knowledge about AWS services and cloud databases. Proficiency in handling structured and unstructured data. You would be successful in this role if you describe yourself as: Successful end-to-end delivery of data science products. Exposure to MLOps tools like MLFlow, KubeFlow, DVC,AWS Sagemaker, Seldon etc Experience deploying models in a AWS cloud environment - with specific experience with AWS tools such as Sagemaker and Step Functions. Expertise with Natural Language Processing and Understanding. Experience with libraries and frameworks for training ML and DL models (PySpark, Tensorflow). Experience and expertise in ML Operations best practices. Our Commitment to Inclusivity and Diversity At G2, we are committed to creating an inclusive and diverse environment where people of every background can thrive and feel welcome. We consider applicants without regard to race, color, creed, religion, national origin, genetic information, gender identity or expression, sexual orientation, pregnancy, age, or marital, veteran, or physical or mental disability status. Learn more about our commitments here Commitments