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Big Data Developer Job specification:&nbsp;We are looking for a Big Data Developer to join our team in Bangalore and Chennai<h5> </h5>Job DescriptionAbout Neostats Analytics: NeoStats is a new-age, Data &amp; Analytics firm offering contemporary solutions and infinite possibilities. Our mission is to create lasting competitive advantage for our clients by transforming them into world-class, data-driven organizations. Established in 2022 to provide End to End Data &amp; Analytics Services, we are headquartered out of UAE, with bases in India &amp; UK. Comprising of industry veterans, we enable structural transformations in Analytics powered by our expertise, true partnership, and e2e implementation approach About the JobWe are looking for a Big Data Developer to join our team in Bangalore and Chennai. The ideal candidate should have a 5+ years of experience in the industry with experience in SQL, basic Unix command, Hive, and Hadoop environment. You will be responsible for developing and maintaining data pipelines using ETL processes, working closely with the data science team to implement data analytics pipelines, and analyzing vast amounts of data stores to uncover insights. You will also be responsible for defining data governance policies and supporting data-versioning process&nbsp;Responsibilities<ul><li>Develop and maintain data pipelines using ETL processes</li><li>Take responsibility for Apache Hadoop development and implementation</li><li>Work closely with data science team to implement data analytics pipelines</li><li>Help define data governance policies and support data-versioning processes</li><li>Maintain security and data privacy, working closely with data protection officer</li><li>Analyze vast number of data stores to uncover insights</li><li>Collaborate with cross-functional teams to analyze and visualize data</li><li>Develop and maintain data modeling techniques</li><li>Design, implement, and maintain scalable data infrastructure</li><li>Build and maintain data quality dashboards and reports</li><li>Optimize and tune Hadoop environments</li></ul> Requirements:<ul><li>5+ years of experience in the industry.</li><li>Banking Experience is mandatory.</li><li>Experience with SQL, basic Unix command, Hive, and Hadoop environment.</li><li>Experience with Python, Spark, and Hive.</li><li>Understanding of Data Warehousing and Data-Modeling techniques.</li><li>Knowledge of industry-wide visualization and analytics tools (ex: Tableau, R).</li><li>Strong data engineering skills with Azure/AWS cloud platform.</li><li>Experience with streaming frameworks such as Kafka.</li><li>Knowledge of Linux, SQL, and any scripting language</li></ul>

Neostats Analytics Solutions Private Limited

Data Scientist

EYP-DnA-Data Science Gen AI-Assistant Director At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Assistant Director – AI / Gen AI Data and Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Mining &amp; Management, Visualization, Business Analytics, Automation and Statistical Insights and AI/GenAI. The assignments cover a wide range of countries and industry sectors. The opportunity We are looking for a Assistant Director - AI/GenAI, proficient in Artificial Intelligence, Machine Learning, deep learning and LLM models for Generative AI, text analytics andPython Programming; will be responsible for developing and delivering industry sectors (Financial services; Consumer, product &amp; Retail; Healthcare &amp; wellness; Manufacturing; Supply chain; telecom; Real Estate etc.) specific solutions which will be used to implement the EY SaT mergers and acquisition methodologies. Your key responsibilities <ul> <li> Develop, review, and implement Solutions applying AI, Machine Learning, Deep Learning, and develop APIs using Python. </li> <li> Having relevant understanding of Big Data and Visualization would be one-upping. </li> <li> Lead the development and implementation of Generative AI applications using both open source (Llama, BERT, Mistral, etc.) and closed source (Open AI GPT models, MS Azure Cognitive Services, Claude, Cohere etc.) Large Language Models (LLMS). </li> <li> Extensively work with advanced models such as GPT-3.5, GPT 4, Llama, BERT etc, for natural language processing and creative content generation using contextual information. </li> <li> Design and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. </li> <li> Understand Business and Sectors, ability to identify the whitespaces and opportunities for analytics application. </li> <li> Work and manage large to mid-size projects, and ensure smooth service delivery on assigned products, engagements and/or geographies. </li> <li> Work with project managers to study resource needs and gaps and devise alternative ways forward. </li> <li> Provide expert reviews for all projects within the assigned subject. </li> <li> Ability to communicate with cross functional/competencies teams. </li> <li> Go to Market / Stakeholder Management. </li> </ul> . Skills and attributes for success <ul> <li> Able to work creatively and systematically in a time-limited, problem-solving environment </li> <li> Loyal and reliable with high ethical standards </li> <li> Flexible, curious and creative, open for new things and able to propose innovative ideas </li> <li> Good interpersonal skills </li> <li> Team player, open, pleasure to work with and positive in a group dynamic </li> <li> Intercultural intelligence and experience of working in more than one country and/or multi-cultural teams with distributed delivery experience </li> <li> Ability to manage multiple priorities simultaneously to meet tight deadlines and drive projects to completion with minimal supervision </li> </ul> To qualify for the role, you must have <ul> <li> Experience of guiding teams on Projects focusing on AI/Data Science and Communicating results to clients </li> <li> Familiar in implementing solutions in Azure Cloud Framework </li> <li> Excellent Presentation Skills </li> <li> 12 – 16 years of relevant work experience in developing and implementing AI, Machine Learning Models- experience of deployment in Azure is preferred </li> <li> Experience in application of statistical techniques like Linear and Non-Linear Regression/classification/optimization, Forecasting and Text analytics. </li> <li> Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML frameworks </li> <li> Minimum 6 years of experience in working with NLG, LLM, DL Techniques </li> <li> Relevant understanding of Deep Learning and neural network techniques </li> <li> Expertise in implementing applications using open source and proprietary LLM models </li> <li> Proficient in using Langchain-type orchestrators or similar Generative AI workflow management tools </li> <li> Minimum of 6-9 years of programming in Python </li> <li> Experience with the software development life cycle (SDLC) and principles of product development </li> <li> Willingness to mentor team members </li> <li> Solid thoughtfulness, technical and problem-solving skills </li> <li> Excellent written and verbal communication skills </li> </ul> Ideally, you’ll also have <ul> <li> Ability to think strategically/end-to-end with result-oriented mindset </li> <li> Ability to build rapport within the firm and win the trust of clients </li> <li> Willingness to travel extensively and to work on client sites / practice office locations </li> </ul> What we look for <ul> <li> A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment </li> <li> An opportunity to be a part of market-prominent, multi-disciplinary team of 3000 + professionals, in the only integrated global transaction business worldwide. </li> <li> Opportunities to work with EY SaT practices globally with prominent businesses across a range of industries </li> </ul> What we offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. <ul> <li> Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. </li> <li> Success, as defined by you : We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. </li> <li> Transformative leadership : We’ll give you the insights, coaching and confidence to be the leader the world needs. </li> <li> Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. </li> </ul> EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Ernst & Young LLP ( EY India )

Assistant Director

Cloud Data Science Engineer Senior<h4> Company:</h4>Qualcomm India Private Limited<h4>Job Area:</h4>Engineering Group, Engineering Group &gt; Software EngineeringGeneral Summary:Data Analytics group is responsible for developing, maintaining, and operating automated on-premises and cloud-based solutions for big data pre-labelling, analysis, and visualization. These solutions are utilized by various teams leveraging a diverse technology stack. Team Enrichment, where this position is based, focuses on automated data labelling from our extensive global fleet and creates analytic solutions to address multiple use cases. To enhance our capabilities further, we are seeking a motivated Software Engineer with strong expertise in software engineering and cloud technologies for our Bangalore, India location.Key Responsibilities:· Develop and maintain comprehensive end-to-end data autolabelling pipelines.· Design and implement toolchains for the automatic identification of critical scenarios.· Enhance existing frameworks for statistical scenario analysis, supporting safety aspects related to Autonomous Driving (AD).· Apply creative problem-solving to design new modules that uncover previously unidentified data insights.· Collaborate within a highly motivated, international team that utilizes SAFe as the primary Agile framework for coordinationMinimum Qualifications:• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.· Minimum of 2 to5 years experience in software engineering with substantial exposure to data science and/or data engineering within an industrial context.· Demonstrated experience with cloud platforms such as AWS or Azure.· Several years of experience writing clean, well-documented, reusable Python code.· Solid understanding of standard software development processes, such as code reviews, unit testing, and CI/CD.· Strong analytical, problem-solving, debugging, and optimization abilities.· Experience with cloud-native tools such as API gateways and serverless components· Hands on experience with IAC: CloudFormation, Terraform· Knowledge of SQL and NoSQL databases· Skilled in big data tools including Spark, Hive, Presto, Iceberg, notebooks, and dashboards.· Master’s degree or higher in Computer Science, Data Science, Mathematics, or a related field.Good To Have:· Experience in ADAS/Autonomous Driving sensor software development and testing<div></div>Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail <a href="mailto:disability-accomodations@qualcomm.com" target="_blank">disability-accomodations@qualcomm.com</a> or call Qualcomm's toll-free number found <a href="https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&amp;sysparm_article=KB0039028" target="_blank">here</a>. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.If you would like more information about this role, please contact <a href="http://www.qualcomm.com/contact/corporate" target="_blank">Qualcomm Careers</a>.

Qualcomm India Private Limited

Cloud Automation Engineer

Senior Associate 2 Central team-BIRoles &amp; responsibilities

 •Multi-dimensional report delivery with focus on consistency and accuracy while ensuring all deadlines are met.


 •Must be able to understand the business drivers, the variances and be able to provide insightful to the numbers.


 •Manage own projects, balancing project scope, and deliverables.


 •Proven ability to collaborate in a virtual, multi-cultural, multi- geography environment, stakeholders to understand business requirements and translate them into data solutions. Proactively engage in cross-functional communication.


 •Leverage data &amp; Analytics and advanced BI tool to automate reporting process within GDC


 •Design and develop data visualizations and dashboards using Power BI. Leverage data &amp; Analytics. Ensure data accuracy and consistency in reports and dashboards.


 •Integrate data from various sources, including databases, APIs, and spreadsheets.


 •Demonstrate ability to identify, analyze and present solutions to technical issues, wherever applicable


 •Provide training and support to end-users on Power BI tools and functionalities.


 •Stay updated with the latest Power BI features and best practices.


 •Contribute to KGDC's strategic objectives, and implementing industry best practices to take KGDC up the value chain                                                           


 •Monitor performance of GDC utilization.

Mandatory  technical &amp; functional skills

 ·BI Tools like Power BI / Tableau, SQL, Alteryx &amp; SSIS knowledge preferred


 ·Advanced skill in Microsoft Office applications, specifically Word, Excel and PowerPoint

Strong English communication skills (Oral &amp; Written)Preferred technical &amp; functional skills

 ·ETL, Alteryx and SSIS knowledge

MS Certified Power BI Preferred but Not Mandatory.Key behavioral attributes/requirements

 —Excellent problem-solving skills


 —Attention for detail


 —Strong communication abilities, with excellent written and verbal English skills


 —Should be willing to and capable of delivering under tight timelines, basis the business needs including working on weekends

Roles &amp; responsibilities

 •Multi-dimensional report delivery with focus on consistency and accuracy while ensuring all deadlines are met.


 •Must be able to understand the business drivers, the variances and be able to provide insightful to the numbers.


 •Manage own projects, balancing project scope, and deliverables.


 •Proven ability to collaborate in a virtual, multi-cultural, multi- geography environment, stakeholders to understand business requirements and translate them into data solutions. Proactively engage in cross-functional communication.


 •Leverage data &amp; Analytics and advanced BI tool to automate reporting process within GDC


 •Design and develop data visualizations and dashboards using Power BI. Leverage data &amp; Analytics. Ensure data accuracy and consistency in reports and dashboards.


 •Integrate data from various sources, including databases, APIs, and spreadsheets.


 •Demonstrate ability to identify, analyze and present solutions to technical issues, wherever applicable


 •Provide training and support to end-users on Power BI tools and functionalities.


 •Stay updated with the latest Power BI features and best practices.


 •Contribute to KGDC's strategic objectives, and implementing industry best practices to take KGDC up the value chain                                                           


 •Monitor performance of GDC utilization.

Mandatory  technical &amp; functional skills

 ·BI Tools like Power BI / Tableau, SQL, Alteryx &amp; SSIS knowledge preferred


 ·Advanced skill in Microsoft Office applications, specifically Word, Excel and PowerPoint

Strong English communication skills (Oral &amp; Written)Preferred technical &amp; functional skills

 ·ETL, Alteryx and SSIS knowledge

MS Certified Power BI Preferred but Not Mandatory.Key behavioral attributes/requirements

 —Excellent problem-solving skills


 —Attention for detail


 —Strong communication abilities, with excellent written and verbal English skills


 —Should be willing to and capable of delivering under tight timelines, basis the business needs including working on weekends

This role is for you if you have  the belowEducational qualifications

 •Graduate/ Postgraduate.

Work experience3 – 5 years of  experience in Dashboarding and Data visualization<h4>Experience Level</h4>Mid Level

Kpmg India Services Llp

Business Intelligence Analyst

Visual Data Scientist LeaderAt Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.Organization Overview:At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism.The Advanced Intelligence (AI) team brings the power of data and advanced analytic capabilities such as artificial intelligence, machine learning, visual analytics and predictive analytics to identify and solve high-value business questions.  The AI team is actively looking for a motivated leader for Advanced Intelligence who will lead the strategic development and implementation of visual analytics solutions for exploratory problems and data story telling work products for explanatory problems.  This role demands a visionary leader to define, execute, and evolve a robust strategy aligned with organizational goals, while fostering operational excellence, compliance, and collaboration across teams and stakeholders. Responsibilities:<ul><li>Lead a talented and diverse team of visual data scientists to apply their skillsets in diverse areas such as scientific publications, discovery and business development.</li><li>Develop and implement strategy to improve how data scientists communicate and share their analytical results</li><li>Collaborate with leaders in other information technology functions to deliver visual analytics solutions to business problems</li><li>Partner with business/research teams to identify, scope, and execute visual analytics efforts that answer business/scientific questions and deliver value to patients.</li><li>Maintain a broad understanding of the pharmaceutical business and be fully engaged with business/research teams, bringing an objective voice to the table and facilitating decisions grounded in visual analytics and data science.</li><li>Collaborate with other analytics team members to review and provide feedback on the analytics being done and be willing to seek feedback from other team members about your own work.</li><li> Stay current with respect to data science and visual analytics methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected.</li><li>Collaborate with others to design, develop and deploy enterprise-level analytics capabilities/solutions, including applications in explainable AI.</li><li>Consult domain experts and elucidate workflows to incorporate advanced analytics in tools for users with no background in data science. </li><li>Ability to influence people to adopt innovative data visualizations and methods.</li><li>Communicate results effectively using data story telling techniques</li></ul>Basic Qualifications: <ul><li>Ph.D.  or M.S. in Computer Science, Statistics, Biostatistics, Engineering with at least 3 years of experience (excluding internships) in the industry OR</li><li>B.S. in one of the above fields with 7+ years of experience (excluding internships) in the industry, including people management experience,</li><li>Leadership experience and ability to grow and develop a team</li><li>Excellent communication skills, with an strong passion for visual data storytelling</li><li>Proficiency with deploying web-based data visualization using d3, HTML and CSS. </li></ul>Additional Skills/Preferences:<ul><li>Understanding of advanced analytics in statistics and machine learning</li><li>Advanced knowledge of visual analytics algorithms like force directed graph and network diagrams.</li><li>Proficiency with grammar of graphics and data story telling </li><li>Internal or external consulting experience</li><li>Agility and flexibility to work with very diverse problems and business partners </li><li>Self-management skills with a focus on results for timely and accurate completion of competing deliverable </li></ul>Additional Information:<ul><li>When applying please attach or submit a link to your portfolio of work</li><li>You will be on a hybrid work schedule in Bengaluru, India.</li></ul>Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (<a href="https://careers.lilly.com/us/en/workplace-accommodation" rel="noopener noreferrer" target="_blank">https://careers.lilly.com/us/en/workplace-accommodation</a>) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.#WeAreLilly<h4>Experience Level</h4>Senior Level

Eli Lilly and Company India Pvt Ltd

Content Analyst - Japanese LanguageProud to share LSEG in the India is Great Place to Work certified (Jun ’25 – Jun ’26). Learn more about life and purpose of our company directly from India colleagues’ video: <a href="https://www.lseg.com/en/careers/where-we-work/bengaluru-india" rel="noopener noreferrer" target="_blank">Bengaluru, India | Where We Work | LSEG</a>Project Summary and Position Overview: The vertical is basically responsible for providing financial and non-financial information to the clients on companies across the globe. Environment, Social and Corporate Governance team (ESG) provides integrated financial and extra-financial information, which is essential for understanding the long-term performance and risk profile of major corporations. Content analyst must research on the documents relating to the company and collect the Environmental and Social data from the sourced documents. Responsibility also includes to deliver on all tasks as per the strategic plans set for the ESG team. Essential Day-to-Day Responsibilities: Translate, analyze and update ESG related data points for both Japanese and English documents. To be responsible for database administration and sourcing of exchange and contributed data. Responsible for delivering high productivity and quality data as per expected performance standards To be up to date with the latest collection policies and procedures and other significant developments pertaining to different markets which would impact data collection. To assist in projects with emphasis on data content. Take ownership for data quality, accuracy, timeliness and completeness within the team. To take on the responsibility of resolving client queries in a timely manner, with very high standards of quality of response and customer satisfaction. Should be able to take right decisions quickly and independently. To continuously find ways to improve quality and reduce number of service requests from clients and to help meet Service targets. To continuously suggest improvement ideas on collection tools, internal processes and should suggest permanent fixes as well as on-going actions for preventing client queries. To carry out special projects or specialized tasks related to the ESG dataset as per the strategic plans. To effectively collaborate with all distributed team and the data provider to deliver high quality data to our clients. Cultivate a learning and positive work environment. Proactively identify, call out and resolve data problems. Required Skills: • Communication, Collaboration and Analytical skills. • Researching on Company website, Filings to understand the reports and to be able to accurate identify the data to be captured. • Should have the curiosity to learn and know more on the content. • Should have reading comprehension skills to read the paragraphs and dotted lines in the report. • High accountability &amp; responsibility • Ability to work both independently and as part of a team • Flexible and able to work under pressure while managing multiple tasks • Self-motivated even when attending to routine tasks • Innovative and analytical towards processes and working environment • Deliver on time Desired Skills: • A team player who will work with others in order to get the job done • Customer focused • Able to adapt to changing needs and requirements • Ability to work with different personalities and groups • Focused on problem solving • Attention to detail • Interested in sustainable development • Should be proficient in using MS-ExceJoin us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.Please take a moment to read this <a href="https://www.lseg.com/content/dam/lseg/en_us/documents/policies/lseg-global-candidate-privacy-notice.pdf" rel="noopener noreferrer" target="_blank">privacy notice</a> carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, <a href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fprivacyportalde-cdn.onetrust.com%2Fdsarwebform%2F5f7a2da0-bed0-45e8-ac2c-c1f297e2efdc%2F4ae30ef5-8107-4353-a0b5-1bf34dd647f6.html.&amp;data=04%7C01%7Cbhavya.rajesh%40refinitiv.com%7C5998c534e4414d538b5008d96d2cce9f%7C71ad2f6261e244fc9e8586c2827f6de9%7C0%7C0%7C637660862381817886%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&amp;sdata=tsXMrVLiU6mEDSYR3lPSoKobrJfrDcmk34w9RIHdUfI%3D&amp;reserved=0" rel="noopener noreferrer" target="_blank">your rights and how to contact us as a data subject</a>. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.<h4>Experience Level</h4>Senior Level

London Stock Exchange Group

Content Analyst

Quant Analytics AssociateJoin us to drive innovation and business impact through data excellence and collaboration.As a Quant Analytics Analyst in the Chase Data team, you play a key role in enabling business innovation by ensuring data is clearly documented, of high quality, and well-protected. You collaborate with technology and business partners to deliver data that supports business objectives, analytics, and reporting, while maintaining compliance with firmwide policies.Job responsibilities<ul><li>Define metadata and classifiers for data critical to the business area</li><li>Execute processes to identify, monitor, and mitigate data risks across the data lifecycle</li><li>Develop operational procedures for delivering data to support business operations and analytics</li><li>Document data requirements to ensure understanding across teams and functions</li><li>Partner with technology and business resources to investigate and remediate data issues</li><li>Lead development and reporting of operational performance metrics and KPIs</li><li>Create self-serve tools to provide real-time information to decision-makers</li></ul>Required qualifications, capabilities and skills<ul><li>Bachelor’s degree</li><li>Four years industry experience in a data-related field</li><li>Subject matter expertise in business or product data or processes</li><li>Hands-on experience with at least four of SQL, Python, SAS, Tableau, Alteryx</li><li>Proven ability to execute via internal partnerships</li><li>Strong interpersonal and communication skills</li><li>Analytical thinking and problem-solving skills</li></ul>Preferred qualifications, capabilities and skills<ul><li>Technical knowledge of data management and governance, big data platforms, or data architecture</li><li>Experience writing code and automating data sourcing, transformation, and analysis</li></ul>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our <a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" rel="nofollow" target="_blank">FAQs</a> for more information about requesting an accommodation.<h4>Experience Level</h4>Senior Level

JP Morgan Services India Pvt Ltd

Aptitude Specialist

Senior Data Scientist<div>Job Summary:</div><div>The role requires building models using advanced statistical, AI and machine learning techniques for enabling - a unique personalized experience that helps end consumers to make quick decisions on content consumption. Forecasting / Predicting the content preferences based on the rich diverse content that varies from live sports to VOD content on the platform. Better performing recommendation engines that can optimize on not just simple outcome metrics like but complex state machines and funnel conversions like user LTV.</div><div> </div><div>About the team:</div><div>The Central Analytics team is embedded within various business &amp; product teams in a matrix structure to be a thought partner and provide comprehensive data insights to drive strategic decisions. This team is the strategic enabler for JioHotstar’s content and marketing functions. In a world where consumers have endless entertainment choices, we help decode how they spend their time and why. At the core, we analyze consumer behavior, content preferences, and evolving entertainment needs. We design and leverage experiments, apply GenAI for innovative problem-solving, and build analytical frameworks that guide key decisions. Our goal: to keep teams sharp, informed, and focused on the KPIs and drivers that truly matter. </div><h4>What will you do?</h4><li>Analyze large datasets from various sources to identify trends, patterns, and actionable insights that help define and execute data-driven strategies for the Ads platform</li><li>Design, develop, and deploy statistical models, machine learning algorithms, generative AI models, and predictive analytics to optimize ad targeting, improve campaign performance, and maximize revenue</li><li>Integrate machine learning models into production systems to deliver real-time insights and automated decision-making capabilities</li><li>Collaborate closely with cross-functional teams, including Data Engineering, Product Management, Ad Tech, and Business teams, to understand business challenges and deploy end-to-end solutions</li><li>Continuously evaluate and improve data quality and model performance to ensure consistent, reliable, and accurate insights</li><li>Develop and execute A/B testing frameworks and experimental designs to validate algorithmic improvements and quantify business impact</li><li>Stay up-to-date with the latest advancements in data science, machine learning, and AI, and proactively incorporate cutting-edge techniques into models and the Ads platform</li><li>Present findings, methodologies, and business impact of data science initiatives to technical and non-technical stakeholders</li><h4>Who should apply for this role?</h4><li>Proven experience in data science and machine learning </li><li>Strong proficiency in Python, SQL, and relevant data science libraries (Pandas, Scikit-learn, TensorFlow, PyTorch, etc.)</li><li>Expertise in building and deploying machine learning models into production systems</li><li>Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud)Deep understanding of statistical analysis, machine learning, data mining, and predictive modeling techniques</li><li>Should be comfortable leveraging LLMs and internals </li><li>Strong problem-solving skills with the ability to translate business problems into data science solutions</li><li>Excellent verbal and written communication skills, with the ability to present complex information to non-technical stakeholders</li> <div>About Us</div><div>Perched firmly at the nucleus of spellbinding content and innovative technology, JioStar is a leading global media &amp; entertainment company that is reimagining the way audiences consume entertainment and sports. Its television network and streaming service together reach more than 750 million viewers every week, igniting the dreams and aspirations of hundreds of million people across geographies.</div><div> </div><div> JioStar is an equal opportunity employer. The company values diversity and its mission is to create a workplace where everyone can bring their authentic selves to work. The company ensures that the work environment is free from any discrimination against persons with disabilities, gender, gender identity and any other characteristics or status that is legally protected.</div>

Viacom18 Media Pvt Ltd

Assistant Manager Analytics<div>JOB SUMMARY:</div><div>As an Assistant Manager - Analytics, you'll be responsible for driving data-driven projects, designing complex data solutions, providing valuable insights to stakeholders and contributing to the growth of our user base and business metrics.</div><div>Through deep content insights, audience intelligence, and behavioral analytics, you'll drive strategy that powers smarter programming and content-buying decisions. </div><div> </div><div>ABOUT THE TEAM: </div><div>The Central Analytics team is embedded within various business &amp; product teams in a matrix structure to be a thought partner and provide comprehensive data insights to drive strategic decisions. This team is the strategic enabler for JioHotstar’s content and marketing functions. In a world where consumers have endless entertainment choices, we help decode how they spend their time and why. At the core, we analyze consumer behavior, content preferences, and evolving entertainment needs. We design and leverage experiments, apply GenAI for innovative problem-solving, and build analytical frameworks that guide key decisions. Our goal: to keep teams sharp, informed, and focused on the KPIs and drivers that truly matter. </div><div> </div><div>REPORTING TO: Manager - Analytics</div><h4>What will you do?</h4><li>Apply the analytics knowledge/skills in problem-solving and deliver actionable insights</li><li>Generate and deliver quality data insights by creating reports, dashboards, and structured documented formats or summaries using tools such as Tableau, DBR and excel</li><li>Develop a deep understanding of the data platform, technology stack, and ETL processes to ensure accurate analysis and reporting</li><li>Utilize statistical techniques to validate findings and draw meaningful conclusions</li><li>Communicate complex data concepts effectively to both technical and non-technical audiences</li><li>Partner with stakeholders to identify opportunities, support strategic decisions, and drive growth through predictive modeling and analysis</li><li>Manage projects end-to-end, write efficient queries, and optimize performance through A/B testing and solution design</li><li>Contribute data-driven insights in experiments and help build a culture of innovation, collaboration, and continuous improvement</li><li>Find opportunities to create efficiency via automation of repeatable processes/ analysis</li><li>Manage stakeholder expectations and create frameworks to allow clear accountability on delivery timelines and project success</li><h4>Who should apply for this role?</h4><li>Demonstrate expertise in analytics, with a strong command of SQL, Excel, Airflow, Redash/ Databricks, Python (good to have), Pyspark (Good to have)</li><li>Demonstrate ability to create optimized ETL’s to automate data workflows for reports and adhoc analyses</li><li>Possess advanced technical skills and the ability to collect, organize, and disseminate information accurately</li><li>Familiar with digital analytics and clickstream data</li><li>Strong communicator with the ability to present complex insights clearly to both technical and non-technical audiences</li><li>A passion for the entertainment industry and a strong understanding of online video streaming platforms (Good to have)</li> <div>About Us</div><div>Perched firmly at the nucleus of spellbinding content and innovative technology, JioStar is a leading global media &amp; entertainment company that is reimagining the way audiences consume entertainment and sports. Its television network and streaming service together reach more than 750 million viewers every week, igniting the dreams and aspirations of hundreds of million people across geographies.</div><div> </div><div> JioStar is an equal opportunity employer. The company values diversity and its mission is to create a workplace where everyone can bring their authentic selves to work. The company ensures that the work environment is free from any discrimination against persons with disabilities, gender, gender identity and any other characteristics or status that is legally protected.</div>

Assistant Manager MIS

Head of Data Engineering<div>Job Summary: We are seeking a pragmatic and visionary Head of Data Engineering to lead our data engineering function through its next phase of growth and transformation. This role is not about building pipelines for their own sake—it’s about ensuring data engineering becomes a strategic enabler for insights, intelligence, and innovation. </div><div> </div><div>As the steward of our data platform, you will focus on data quality, cost governance, and operational efficiency—ensuring that our data team spends time where it matters: enabling analytics, ML, and decision-making at scale. You will work closely with product, marketing, and C-suite stakeholders, translating complex technical possibilities into clear business value.</div><div> </div><div>About the Team: This is a chance to build something enduring. You’ll join a team that values clarity over complexity, outcomes over activity, and learning over ego. Reporting directly to the CTO, you’ll shape how data unlocks value across every function in the company.</div><h4>What will you do?</h4><li>Own and evolve our data engineering strategy, balancing pragmatism with forward-thinking architecture.</li><li>Ensure data quality, availability, and accessibility across the organization, with clear SLAs and accountability.</li><li>Optimize data infrastructure and operations for cost-efficiency, scalability, and ease of use.</li><li>Build and lead a high-performing team of data engineers—instilling a culture of ownership, impact, and curiosity.</li><li>Partner with data science and ML teams to operationalize models and build AI-ready pipelines and platforms.</li><li>Serve as the connective tissue between technical and non-technical stakeholders—translating needs, aligning priorities, and ensuring data drives action.</li><li>Run and continuously improve core data programs, including ETL/ELT, data observability, and metadata governance.</li><li>Stay abreast of emerging tools and practices in modern data stacks, with a keen sense of what fits versus what dazzles.</li><li>Develop and communicate a data engineering roadmap aligned with company goals and future growth.</li><li>Nurture and grow the next line of awesome leaders from your already amazing org! Manage a scale data platform like no other! Prepare to be in a candy store if you like scale and ridiculous data loads.</li><h4>Who should apply for this role?</h4><li>Proven track record of building reliable, scalable, and cost-conscious data infrastructure.</li><li>Deep expertise in modern data tooling (e.g., Snowflake, dbt, Airflow, Kafka, Databricks, etc.) and cloud-native architectures.</li><li>Track record of corralling data in a consumer facing application. </li><li>Experience supporting ML/AI initiatives and integrating data engineering with model development and deployment.</li><li>Strong understanding of data governance, lineage, observability, and security best practices.</li><li>Excellent stakeholder management and communication skills—you’re as comfortable in an exec meeting as in a code review.</li><li>A bias for impact over perfection; you know when to ship, when to invest, and when to say “no.”</li> <div>About Us</div><div>Perched firmly at the nucleus of spellbinding content and innovative technology, JioStar is a leading global media &amp; entertainment company that is reimagining the way audiences consume entertainment and sports. Its television network and streaming service together reach more than 750 million viewers every week, igniting the dreams and aspirations of hundreds of million people across geographies.</div><div> </div><div> JioStar is an equal opportunity employer. The company values diversity and its mission is to create a workplace where everyone can bring their authentic selves to work. The company ensures that the work environment is free from any discrimination against persons with disabilities, gender, gender identity and any other characteristics or status that is legally protected</div>

Data Engineer

IPB CLIENT SERVICE ANALYTICS - AssociateYou are a strategic thinker passionate about driving solutions in Client service analytics. You have found the right team.As a Client Analyst in our Finance team, you will spend each day defining, refining and delivering set goals for our firm. Job responsibilities:<ul><li>Demonstrate programming skills in Python and write complex SQL code to automate processes for sourcing, transforming, and analyzing data from multiple structured and unstructured sources.</li><li>Apply critical thinking and perform advanced analytics to solve complex, multi-faceted business problems using the firm’s analytics and visualization platforms such as QlikSense, Tableau, and Alteryx.</li><li>Create and leverage analytical approaches to analyze domain-specific source data, providing accurate conclusions that lead to the identification of improvement initiatives.</li><li>Exhibit excellent problem-solving abilities and communicate ideas and results to stakeholders and leadership in a clear and concise manner.</li><li>Perform advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations for improving business performance.</li><li>Collaborate with cross-functional teams to identify requirements and develop solutions that meet business needs within the organization.</li></ul>Required qualifications, capabilities, and skills<ul><li>5+ years of working experience on analytical tools (Tableau/ Qliksense/  SQL)</li><li>At least 5+ years of exp. with Python to develop ETL pipelines </li><li>Experience building measures and metrics, and developing reporting dashboards </li><li>Strong grasp of big data disciplines, AWS, Agile (scrum) methodologies, and new technologies. Able to communicate effectively with Senior leaders to enable collaboration, decision-making, and transparency.</li><li>Experience in developing standardized solutions for data acquisition, transformation and analysis</li><li>Perform advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations that can be used to improve business performance. </li></ul>Preferred qualifications, capabilities, and skills<ul><li>Ability to drive projects end to end from requirement analysis, development, testing to closure.</li><li>Experience With Alteryx/ databricks to develop ETL pipelines</li></ul>

Client Service Executive

IPB CLIENT SERVICE ANALYTICS - AssociateYou are a strategic thinker passionate about driving solutions in Analytics . You have found the right team.As an Analytics Associate in our Finance team, you will spend each day defining, refining and delivering set goals for our firm. Job responsibilities:<ul><li>Demonstrate advanced programming skills in Python; write complex SQL code and automate processes to source, transform, and analyze data from multiple structured and unstructured sources.</li><li>Apply critical thinking and perform advanced analytics to solve complex, multi-faceted business problems using analytics and visualization platforms such as QlikSense, Tableau, and Alteryx.</li><li>Create and leverage analytical approaches to analyze domain-specific source data, providing accurate conclusions and identifying improvement initiatives.</li><li>Communicate ideas and results to stakeholders and leadership clearly and concisely, showcasing excellent problem-solving abilities.</li><li>Perform advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations for business performance improvement.</li><li>Collaborate with cross-functional teams to identify requirements and develop solutions that meet organizational business needs.</li></ul>Required qualifications, capabilities, and skills<ul><li>6+ years of working experience on analytical tools (Tableau/ Qliksense/  SQL)</li><li>At least 8+ years of exp. with Python to develop ETL pipelines</li><li>Experience building measures and metrics, and developing reporting dashboards </li><li>Strong grasp of big data disciplines, AWS, Agile (scrum) methodologies, and new technologies. Able to communicate effectively with Senior leaders to enable collaboration, decision-making, and transparency.</li><li>Experience in developing standardized solutions for data acquisition, transformation and analysis</li><li>Perform advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations that can be used to improve business performance. </li></ul> Preferred qualifications, capabilities, and skills<ul><li>Ability to drive projects end to end from requirement analysis, development, testing to closure</li><li>Experience With Alteryx/ databricks to develop ETL pipelines</li></ul>

Analyst

Assistant Vice President - Data Science / Applied AI MLJob summary:J.P. Morgan Compliance, Conduct, and Operational Risk (CCOR) Data Science function is at the forefront of developing innovative AI and ML solutions to enhance risk management and compliance processes. Our team leverages advanced analytics, AI, Machine learning technologies, including Large Language Models (LLMs), to transform how we manage compliance, conduct, and operational risks across the organization.Join our CCOR Data Science team as an Associate/AVP - Data Science, where you will play a crucial role in developing AI/ML solutions to enhance compliance and risk management. Your primary responsibilities will include leveraging advance AI / ML techniques, LLMs and Agentic AI to develop and deploy models for various tasks such as anomaly detection, risk assessment, and compliance monitoring. You will work with diverse datasets to improve our risk management processes and ensure regulatory compliance. As part of a leading analytics community, you will have opportunities for skill development and career growth in AI, machine learning, and data science.Job responsibilities:<ul><li>Design, deploy, and manage AI/ML models, leverages advance AI/ML techniques, LLMs and Agentic AI for developing compliance and risk management related solution.</li><li>Conduct research on AI techniques to enhance model performance in the compliance and risk domains.</li><li>Collaborate with cross-functional teams to identify requirements, develop solutions, and deploy models in the production system.</li><li>Communicate technical concepts effectively to both technical and non-technical stakeholders.</li><li>Develop and maintain tools and frameworks for model training, evaluation, and optimization.</li><li>Analyze and interpret data to evaluate model performance and identify areas for improvement.</li></ul>Required qualifications, capabilities, and skills:<ul><li>Master’s degree in quantitative discipline or an MBA with an undergraduate degree in areas such as Computer Science, Statistics, Economics, Mathematics etc. from top tier Universities. </li><li>Minimum of 6 years of relevant experience in developing AI/ML solutions, with recent exposure to LLMs and Agentic AI.</li><li>Programming skills in Python, with experience in frameworks like PyTorch or TensorFlow.</li><li>Thorough knowledge of machine learning concepts, including transformers and language modeling.</li><li>Experience in data pre-processing, feature engineering, and data analysis.</li><li>Excellent problem-solving skills and the ability to communicate ideas and results clearly.</li><li>Familiarity with data structures and algorithms for effective problem-solving in machine learning workflows.</li></ul>

Data Science Intern

Business Data Scientist, Google Customer Solutions Ads Finance<h4>Minimum qualifications:</h4><ul><li>Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. </li><li>4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. </li></ul> <h4>Preferred qualifications:</h4><ul><li> 6 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.</li><li>Experience in SQL, Python, R.</li><li>Experience with modeling and analysis, and understanding of application of statistics and data science.</li><li> Ability to translate complexity and explain analysis and methodologies to both engineering and business stakeholders.</li><li>Ability to learn business concepts, apply business insights to decision frameworks and model development.</li><li>Excellent partnering skills, and ability to navigate ambiguity.</li></ul><h4>About the job</h4>Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.As a Business Data Scientist, you will have an opportunity to directly shape the incentives and futures of our business. You will contribute to programs and develop the data science skills. You will explore time series analysis, examine business drivers, and help build the foundational infrastructure for business analytics and research.<h4>Responsibilities</h4><ul><li>Incorporate business insights into incentives models, develop frameworks, driver models and conduct analysis.</li><li>Develop statistical hypotheses and build predictive models.</li><li>Build and work with complex datasets. Create and maintain solutions using SQL, Python or R.</li><li>Work with business teams to influence program design and explain goal setting and investigative methodologies.</li><li>Work with technical teams to integrate goals and other data sets into critical systems like Connect Sales.</li></ul><h4>Experience Level</h4>Mid Level

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