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R/R Shiny Developer EY is looking for passionate developers skilled in R and R Shiny to join our team for an exciting project. Role: R/R Shiny DeveloperExperience: 4–6 yearsNotice Period: Up to 60 days maximum Key Skills:<ul><li> Strong hands-on experience with R and R Shiny. </li><li> Experience building and deploying interactive dashboards using R Shiny</li><li> Familiar with SQL, Git, and API integrations</li></ul> If this sounds like you and you can join within 60 days, send your resume with the following details:- Current CTC: - Expected CTC:- Notice Period:- Current Location:- Preferred Location:

Ernst & Young LLP ( EY India )

Associate Application Developer

Assistant ManagerAssistant Manager, Data AnalysisJOB SUMMARY: The Assistant Manager, Data Analysis is responsible for ensuring accuracy and quality in data and presenting data in such ways that assists with the decision-making process. This role is part of Global Data Strategy &amp; Operations team and responsible for data onboarding, data analysis, data validation. You will be working closely with the development team and data consumers on delivering data related projects as well as providing operational support. The successful candidate will be a subject matter expert in Data, and work with stakeholders to develop and solution business and technical requirements. JOB RESPONSIBILITIES Service Delivery <ul><li>Data sourcing activities including documenting data interfaces, analyzing and interpreting data, and assistance with data modeling.</li><li>Ability to develop business and technical requirement documents</li><li>Document complex data mappings</li><li>Design and execute Data Quality checks</li><li>Assist with project management and tracking; regular meetings with PMs and developers, create test plans, project plans, implementation plans and track project through SDLC life cycle</li><li>Working with developers to assure specifications are understood and followed</li><li>Supporting quality assurance and user acceptance testing</li><li>Provide post production support for both maintenance and enhancement solutions</li><li>Ability to communicate technically complex IT concepts to business clients. Ability to multi-task easily and juggle priorities in a fast-paced environment.</li></ul> EDUCATION/EXPERIENCE<ul><li>7-10 years of relevant work and project management experience.</li><li>Bachelor's degree (Computer Science, Engineering, or Mathematics) from an accredited college or university with experience involving data analysis, modeling and design is preferred</li><li>Data Warehouse or Business Intelligence experience including strong SQL skills to query SQL databases, experience with data sourcing, data integration and data quality projects; Experience with Data analysis tools like Alteryx is a plus. Experience with Salesforce Sales and/or Marketing cloud is a plus.</li><li>Experience in data integration and data quality projects. Expertise in SDLC full project life cycle. Experience with Data sourcing, documenting complex data mappings. Experience with data migrations between applications is a plus</li><li>Strong verbal/written communication, problem solving, analytical and independent judgment skills to support an environment driven by customer service and teamwork. Ability to positively influence, mentor and be a credible source of knowledge to less experienced team members</li><li>Ability to work with the business to understand available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security; provide assistance, and resolve problems, using solid problem-solving skills</li><li>Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy</li></ul>  Technical Competencies<ul><li>Data Gathering and Analysis</li><li>Understands and analyzes information.</li><li>Uses knowledge of data, systems, and their intersections to provide workforce information from the most applicable data source/s in response to standard or ad hoc requests and in support of data quality checks.</li><li>Performs historical trending and projection analyses as appropriate for strategic needs.</li><li>Meets with customers to understand their needs or concerns in order to ensure data, analytics, and reporting are used appropriately.</li><li>Leverages external networks to ensure all relevant information is integrated into analysis and interpretation of data.</li><li>Conducts ad hoc and standard analyses in response to customer needs, incorporating knowledge of parallel, ongoing projects into analysis for customers.</li><li>Analyzes data in order to draw conclusions and identify cause and effect relationships to support leadership decisions, recommend a course of action, or solve organizational issues.</li><li>Uses knowledge and understanding of the organizational context to recognize data inaccuracies and to ensure consistency and the highest quality of data and analyses.</li><li>Strong SQL skills to query SQL databases</li></ul> <ul><li>Information System Administration</li><li>Analyzes, proposes and/or develops strategic plans for the development, enhancement, maintenance, and future development of information systems and/or automated workflows based on business requirements.</li><li>Develops directives necessary to implement changes that impact agency-wide resource requirements. Analyzes system or workflow changes necessary to comply with new business and functional requirements.</li><li>Recommends efficient and effective automated systems or automated workflow approaches for a variety of uses.</li><li>Provides technical direction and expertise for Business Intelligence projects. Owns and directly shapes the BI strategy and architecture best practices, standards, and principles in conjunction with DW lifecycle methodology.</li></ul> <ul><li>Problem Solving</li><li>You are known as an expert in this area. You can provide guidance, troubleshoot, and answer questions related to this area of expertise and the field where the skill is used.</li><li>You have demonstrated consistent excellence in applying this competency across multiple projects and/or organizations.</li><li>You are considered the “go to” person in this area within NIH and/or outside organizations.</li><li>You create new applications for and/or lead the development of reference and resource materials for this competency.</li><li>You can diagram or explain the relevant process elements and issues in relation to organizational issues and trends in sufficient detail during discussions and presentations, to foster a greater understanding among internal and external colleagues and constituents.</li></ul><ul><li>Experiece in Data Analysis, SQL, Alteryx/PowerBI</li></ul><ul><li>Experiece in Data Analysis, SQL, Alteryx/PowerBI</li></ul><h4>Experience Level</h4>Mid Level

Kpmg India Services Llp

Business Data Analyst

Process Data Engineer II – Product DevelopmentWorking with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: <a href="https://careers.bms.com/working-with-us" rel="noopener noreferrer" target="_blank">careers.bms.com/working-with-us</a>.<h4>Roles &amp; Responsibilities</h4><ul><li>Partner with PD scientists and IT team members to develop and implement data engineering solutions that deliver high-quality, contextualized datasets as part of an agile team.</li><li>Define data requirements, gather and mine large scale structured and unstructured data, and validate data by running various data tools in the Big Data Environment to enable use case development.</li><li>Collaborate with scientists and engineers to identify data sources and locations, understand data requirements and challenges, and provide data solutions.</li><li>Collaborate proactively with IT teams to develop and enhance data infrastructure, data pipelines, and analytical tools for efficient data collection, processing, and analysis.</li><li>Lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering in order to improve productivity.</li><li>Communicate and translate between life science experts and data engineers.</li><li>Provide training, guidance, and mentorship to junior analysts and team members when required.</li><li>Work hours that provide sufficient overlap with standard east coast US working hours.</li></ul><h4>Skills and Competencies</h4><ul><li>Excellent interpersonal, collaborative, team-building, and communication skills to ensure effective collaborations within matrix teams.</li><li>Ability to work with diverse teams across organizational lines and structures.</li><li>Proven ability to explain complex analyses and outcomes to both technical and non-technical stakeholders.</li></ul><h4>Experience</h4><ul><li>Bachelor's or Master's degree in analytical, engineering, or in a relevant field such as chemical engineering, or life sciences, with an interest or minor in data science/computer science.</li><li>Proven experience (typically 3-5 years) in a data and analytics role, including direct development experience.</li><li>Experience working with large datasets, data visualization tools, statistical software packages and platforms (specifically R, Python, advanced SQL, Domino, AWS, GitHub, dbt, Tableau).</li><li>Experience with biotech product development and/or manufacturing operations is a significant plus.</li><li>Experience in the biopharma industry a plus.</li></ul>If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.On-site ProtocolBMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to <a href="mailto:adastaffingsupport@bms.com" rel="noopener noreferrer" target="_blank">adastaffingsupport@bms.com</a>. Visit <a href="https://careers.bms.com/eeo-accessibility" rel="noopener noreferrer" target="_blank">careers.bms.com/</a><a href="https://careers.bms.com/eeo-accessibility" rel="noopener noreferrer" target="_blank">eeo</a><a href="https://careers.bms.com/eeo-accessibility" rel="noopener noreferrer" target="_blank">-accessibility</a> to access our complete Equal Employment Opportunity statement.BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: <a href="https://careers.bms.com/california-residents/" rel="noopener noreferrer" target="_blank">https://careers.bms.com/california-residents/</a>Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.<h4>Experience Level</h4>Mid Level

Bristol-Myers Squibb India Pvt Ltd

Data Engineer

IN_Manager_Palantir Foundary_Data and Analytics_Advisory_Chennai - Menon EternityLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelManagerJob Description &amp; SummaryAt PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.*Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "Job Description &amp; Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.Responsibilities:· 3+ years of experience in implementing analytical solutions using Palantir Foundry.· · preferably in PySpark and hyperscaler platforms (cloud services like AWS, GCP and Azure) with focus on building data transformation pipelines at scale.· · Team management: Must have experience in mentoring and managing large teams (20 to 30 people) for complex engineering programs. Candidate should have experience in hiring and nurturing talent in Palantir Foundry.· · Training: candidate should have experience in creating training programs in Foundry and delivering the same in a hands-on format either offline or virtually.· · At least 3 years of hands-on experience of building and managing Ontologies on Palantir Foundry.· · At least 3 years of experience with Foundry services:· · Data Engineering with Contour and Fusion· · Dashboarding, and report development using Quiver (or Reports)· · Application development using Workshop.· · Exposure to Map and Vertex is a plus· · Palantir AIP experience will be a plus· · Hands-on experience in data engineering and building data pipelines (Code/No Code) for ELT/ETL data migration, data refinement and data quality checks on Palantir Foundry.· · Hands-on experience of managing data life cycle on at least one hyperscaler platform (AWS, GCP, Azure) using managed services or containerized deployments for data pipelines is necessary.· · Hands-on experience in working &amp; building on Ontology (esp. demonstrable experience in building Semantic relationships).· · Proficiency in SQL, Python and PySpark. Demonstrable ability to write &amp; optimize SQL and spark jobs. Some experience in Apache Kafka and Airflow is a prerequisite as well.· · Hands-on experience on DevOps on hyperscaler platforms and Palantir Foundry is necessary.· · Experience in MLOps is a plus.· · Experience in developing and managing scalable architecture &amp; working experience in managing large data sets.· · Opensource contributions (or own repositories highlighting work) on GitHub or Kaggle is a plus.· · Experience with Graph data and graph analysis libraries (like Spark GraphX, Python NetworkX etc.) is a plus.· · A Palantir Foundry Certification (Solution Architect, Data Engineer) is a plus. Certificate should be valid at the time of Interview.· · Experience in developing GenAI application is a plusMandatory skill sets:· At least 3 years of hands-on experience of building and managing Ontologies on Palantir Foundry.· At least 3 years of experience with Foundry servicesPreferred skill sets:Palantir FoundryYears of experience required:Experience 7 to 10 years ( 4 + years relevant)Education qualification:Bachelor's degree in computer science, data science or any other Engineering discipline. Master’s degree is a plus.Education (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Bachelor Degree, Master DegreeDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsPalantir (Software)Optional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 21 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End Date<h4>Experience Level</h4>Mid Level

PriceWaterhouseCoopers Pvt Ltd ( PWC )

Business Intelligence and Analytics Manager

IN_Senior Associate _GCP Cloud data engineer _D&A_Advisory_ PuneLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelSenior AssociateJob Description &amp; SummaryAt PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.Responsibilities:· Design, develop, and deploy modular Google Cloud-based systems including Virtual Machine, K8s clusters, Cloud SQL, Shared VPC, IAM, Security Services and others.· Develop, manage and improve GCP infrastructure using GCP CI/CD such as Github, CloudBuild, Ansible, Jenkins, CloudBuild. ·· Develop and maintain cloud solutions in accordance with best practices using IaaC(Terraform). ·· Ensure efficient functioning of data storage and process functions in accordance with company security policies and best practices in cloud security ·· Identify, analyze, and resolve infrastructure vulnerabilities and application deployment issues ·· Regularly review existing systems and make recommendations for improvements ·· Interact with clients, provide cloud support, and make recommendations based on client needsMandatory skill sets:· Monitoring and analyzing infrastructure using services such as Cloud monitoring, Prometheus and Grafana.Migration and Enterprise Landing Zone setup experience using Migrate for Compute Engine and TerraformPreferred skill sets:GCP, Hashicorp, and CKAD certifications preferred.Years of experience required:4 – 7 yrsEducation qualification:B.tech/MBA/MCAEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Master of Business Administration, Bachelor of TechnologyDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsGood Clinical Practice (GCP), HashiCorp VaultOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End Date<h4>Experience Level</h4>Mid Level

Senior Associate

Data Science and AI/ML Developer - AssociateYou are a strategic thinker passionate about driving solutions in Data Science and AI/ML Developer. You have found the right team.As a Data Science and AI/ML Developer – Associate in our Transformation and Analytics, you will spend each day defining, refining and delivering set goals for our firm.Job Responsibilities:<ul><li>Collaborate with internal stakeholders to identify business needs and develop NLP/ML solutions that address client requirements and drive transformation.</li><li>Scope, prioritize, and coordinate activities with product owners; partner with product teams to identify strategic solutions.</li><li>Apply large language models (LLMs), machine learning (ML) techniques, and statistical analysis to enhance decision-making and improve workflow efficiency across investment functions, client services, and operational processes.</li><li>Design and implement LLM projects using GPT models, ensuring alignment with business objectives.</li><li>Utilize Data Bricks and AWS infrastructure to build, deploy, and scale machine learning models in production environments.</li><li>Collect and curate datasets for model training and evaluation, ensuring data quality and integrity through effective validation and testing processes.</li><li>Perform experiments using different model architectures and hyperparameters; determine appropriate objective functions and evaluation metrics; run statistical analysis of results.</li><li>Demonstrate proficiency in visualization and storytelling to create impactful business insights.</li><li>Monitor and improve model performance through feedback and active learning. Deliver written, visual, and oral presentations of modeling results to business and technical stakeholders.</li><li>Stay up-to-date with the latest research in LLM, ML, and data science, identifying and leveraging emerging techniques for ongoing enhancement.</li><li>Transform model outputs into formats understandable to end users through visualization, clear tables, and thoughtful presentations; assist technical and non-technical users in leveraging and interpreting the analysis.</li></ul>Required qualifications, capabilities and skills<ul><li>Self-starter, attention to details and results orientated, able to work under minimal guidance.</li><li>Uses pertinent data and facts to identify and solve a range of problems within area of expertise.</li><li>Proficiency in Python, R, and machine learning frameworks like TensorFlow or PyTorch is essential.</li><li>Having mandatory experience in Statistics  along with  Exploratory and regression data analysis</li><li>Strong proficiency in LLM,  concept of vectorization/ vector stores, database optimization, performance tuning, agentic AI LLM, RAG based  agents. Proficient in building evaluation metrics.</li><li>Experience with LLM and other related frameworks like Langchain, LLamaIndex, AutoGen, ReAct , GPT and  Claude models, </li><li>Experience in  model development using Machine Learning techniques [Data Analysis /Model Tuning].</li><li>Bachelor’s Degree in, Data science, Computer Science, or Engineering.  Different field of study, with significant professional experience in AI oriented Analytics and BI development, is acceptable. </li><li>Experience Required: 5+ years in Data related projects and 3+ years in Data Science/AI</li><li>Good communication and analytical skills</li></ul>Preferred qualifications, capabilities and skills<ul><li>Exposure for  complex ETL development is an added advantage.</li><li>Knowledge on CI/CD pipelines. </li><li>Preferred data querying  skills on  SQL (Snowflake, Databricks) and , Python (packages and libraries like Scikit , Kera’s, Pandas, PySpark/PySQL)</li><li>Exposure to low-code BI tools like Alteryx and Tableau.</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>Mid Level

JP Morgan Services India Pvt Ltd

Data Scientist

Advanced Analytics Senior Analyst - Fraud & Scams CoEOrganization: At CommBank we believe in working somewhere that works for you. We have many flexible working options available so talk to us about which arrangements could work best for you.Job Title: Senior Analyst Fraud &amp; Scams AnalyticsLocation:  BangaloreBusiness &amp; Team: The Fraud &amp; Scams Analytics teamImpact &amp; contribution:Fraud Analytics is responsible with defining and execution of robust fraud analytics procedures for the Group.Our team’s diverse backgrounds means we can draw on one another’s experience to deliver to best work outcomes. We are committed to safe-guarding our customers from financial fraud and scams. Our analytics run on Australia’s largest real-time transaction monitoring system, handling millions of transactions per day.Roles &amp; Responsibilities:<ul><li>Develop data features for fraud and scam detection models.</li><li>Enhance scripts to improve feature and profile accuracy.</li><li>Collaborate with analytics staff.</li><li>Liaise with Data Scientists and rule writers on how features can be used to improve the overall fraud detection for the bank.</li><li>Use self-service tools to schedule and monitor written script.</li></ul>Essential Skills: <ul><li>6+ years of experience in Data Analytics. </li><li>Conduct thorough analysis on large datasets using sophisticated statistical and machine learning techniques. Employ tools such as Python, R, SQL, advanced Excel functions, and AI virtual assistants for data manipulation and predictive modelling</li><li>An analytical mindset with the ability to solve problems in creative ways</li><li>Ability to understand fraudster behavior and psychology </li><li>Develop, validate, and deploy predictive models and machine learning algorithms to forecast trends, identify opportunities, optimize operations, and mitigate risks.</li><li>Ability to collaborate effectively within the analytics community and stakeholders </li><li>Tertiary qualified in a numerate, engineering and/or IT based disciplines such as Actuarial science, applied mathematics, Statistics, Computing Science, Data Science.</li><li>An understanding of data engineering concepts would be beneficial.</li></ul>Education Qualifications: Bachelor’s or master’s degree in computer science, Engineering, Information Technology.If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through <a href="https://sidekick.hr.cba" rel="noopener noreferrer" target="_blank">Sidekick</a> to submit a valid application. We’re keen to support you with the next step in your career.We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.Advertising End Date: 25/09/2025<h4>Experience Level</h4>Senior Level

Commonwealth Bank of Australia

Senior Analyst

People Data Modelling & Visualization Expert<h4>People Data Modeling &amp; Visualization Expert</h4><ul><li><h4>Location: Hyderabad, Barcelona, Budapest</h4></li></ul><h4>About the job</h4>Ready to push the limits of what’s possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world.The People Services Master Data Management is a team of experts that helps deliver Sanofi’s ambition to democratize access to people and culture data in the company, delivering methods and tools to support data driven decision making. Activities include data visualizations by creating and maintaining People analytic solutions and dashboards for helping requestors to get the insights of selected business topics, data mining to support process simplification and governance of people data foundation. Main responsibilities<ul><li>Collaborate with senior leaders and stakeholders to gather requirements for complex people analytics projects</li><li>Design and implement sophisticated data models to support advanced analytics</li><li>Develop and maintain a comprehensive suite of people analytics KPIs, including headcount, attrition, internal movement, mean span, and other critical metrics in collaboration with reporting experts and insights leaders</li><li>Build People data related analysis in Visier – Sanofi’s Global people analytics solution for in-depth visualization</li><li>Create and maintain interactive dashboards and analysis using various global data visualization tools</li><li>Conduct advanced data mining and predictive analytics to support strategic HR initiatives</li><li>Collaborate closely with digital data warehousing teams to leverage enterprise datamart solutions, and with the Digital HCM team to support extraction from Workday to the warehouse</li></ul>About You<ul><li>Experience : Minimum 5 years of data modelling and data extraction expertise</li><li>Minimum 3 years of experience working with people analytics KPIs and global data visualization tools</li><li>Strong people data experience is required</li><li>Proven track record in developing and maintaining complex data models for HR analytics</li><li>Extensive experience in calculating and analyzing key people analytics metrics (e.g., headcount, attrition, internal movement, mean span)</li><li>Strong background in developing and maintaining analytics dashboards preferably with Visier</li><li>Solid understanding of data governance concepts and their application in a global context</li><li>Experience working in agile development methods, preferably in a global team setting</li><li>Soft skills : Demonstrated ability to work effectively in an international, matrix environment</li><li>Exceptional stakeholder management skills, with experience in global team dynamics</li><li>Proven fast learner, able to quickly adapt to new tools and solutions</li><li>Strong collaborative skills, able to work across functions with an end-to-end mindset</li><li>Excellent communication and requirement gathering skills in a global context</li><li>Ability to produce clear, concise, and impactful documentation and presentations</li><li>Customer-focused with a keen attention to stakeholder needs and feedback</li><li>Strong organizational and prioritization skills in managing multiple global projects</li><li>Detail-oriented with a focus on data accuracy and quality</li><li>Ability to translate complex data insights into actionable business recommendations</li><li>Action-oriented, delivery-driven, and comfortable leading change initiatives</li><li>Advanced problem-solving, deductive, and analytical skills</li><li>Technical skills : Expert-level proficiency in data extraction and data modelling to support advanced analytics data storage</li><li>Strong skills in global data visualization tools (e.g., Visier, Power BI, Tableau)</li><li>Visier experience and exposure to people-related AI methodologies is strongly preferred</li><li>Proficient in HR systems such as Workday or similar global HCM platforms</li><li>Power BI DAX, SQL skills; proficiency in Python libraries for data analysis is a strong plus</li><li>Languages: Fluent in English, with excellent written and verbal communication skills </li></ul>Why choose us?<ul><li>Bring the miracles of science to life alongside a supportive, future-focused team</li><li>An international work environment, in which you can develop your talent and realize ideas and innovations within a competent team</li><li>Flexible home office policy</li><li>You'll face challenging tasks with professional responsibilities</li><li>Trainee training program opportunity</li><li>Internship and thesis support</li><li>Paid leave for trainees</li><li>Join a great community &amp; special event (Weekly Yoga/Pilates classes, Monthly Board Game Nights, Summer/Winter Events, Well-Being Lectures &amp; Sport Clubs)</li></ul><h4>Pursue progress, discover extraordinary</h4>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 <a href="https://www.youtube.com/watch?v=SkpDBZ-CJKw&amp;t=67s" rel="noopener noreferrer" target="_blank">ALL IN video</a> and check out our Diversity Equity and Inclusion actions at <a href="https://www.sanofi.com/en/our-responsibility/equality-and-inclusiveness" rel="noopener noreferrer" target="_blank">sanofi.com</a>!<h4>Experience Level</h4>Senior Level

Sanofi India Ltd

Data Science ManagerKEY RESPONSIBILITIES<ul><li>Lead, manage, and mentor a high-performing team of data scientists, ensuring excellence in technical execution and professional development</li><li>Define, implement, and refine the AI and ML strategy and roadmap, aligning with the organization's long-term goals and evolving business needs</li><li>Drive the development and deployment of state-of-the-art AI methodologies, leveraging the latest advancements in machine learning, artificial intelligence, and computational techniques</li><li>Present complex, data-driven insights and strategic recommendations to stakeholders, driving high-level decision-making</li><li>Develop and nurture relationships with business partners and stakeholders across the organization, ensuring effective collaboration and alignment on AI-driven projects</li></ul><ul><li>Ensure the scalability, reliability, and robustness of AI solutions through advanced model development, deployment, and monitoring practices</li><li>Proactively manage project risks and mitigate potential issues, ensuring successful delivery and alignment with strategic goals</li></ul><ul><li>Conduct pioneering research in emerging areas, integrating new technologies and methodologies to solve complex business problems</li></ul>Pre-Requisites<ul><li>12+ years of experience in AI, Data Science or a related field, with a proven track record of leading and executing high-impact, technically complex projects</li><li>Extensive expertise in advanced machine learning algorithms, deep learning, statistical modeling, and AI, with hands-on experience in cutting-edge techniques</li><li>Mastery of programming languages such as Python, with extensive experience in advanced machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Keras, LangChain, Transformers, OpenAI SDK, or Hugging Face)</li><li>Advanced skills in SQL and hands-on experience with big data technologies</li><li>Deep understanding of LLMs, prompt engineering, and transformer architectures</li><li>Prior experience leading Generative AI solutions utilizing LLMs such as GPT, Claude, and LLaMA</li><li>Demonstrated expertise in MLOps practices, including model deployment, monitoring, and optimization at scale</li><li>Outstanding communication skills, both written and verbal, with the capability to convey complex technical concepts to diverse audiences and influence executive decision-making</li><li>Ability to manage and deliver multiple high-stakes projects simultaneously, with a deep understanding of how to align data science initiatives with overarching business objectives and strategies</li><li>(Preferred) Master’s degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, Marketing Research</li></ul><h4>Experience Level</h4>Senior Level

Ecolab Food Safety & Hygiene Solutions Private Limited

Senior Data Scientist Required Skills<ul><li>Strong programming skills in Python, R, and SQL.</li><li>Expertise in Machine Learning &amp; Deep Learning algorithms.</li><li>Hands-on experience in predictive maintenance, driver behavior analysis, and ADAS systems.</li><li>Proficiency in Big Data tools (Spark, Hadoop).</li><li>Experience in Cloud platforms – AWS / GCP.</li><li>Strong knowledge of automotive datasets and CAN data analysis.</li><li>Proficiency in data visualization tools – Power BI, Tableau.</li></ul> <ul><li>Qualification: BE / B.Tech / ME / M.Tech in Computer Science, Electronics, Data Science, or related field</li><li>Experience: 6+ years (Immediate Joiners Only)</li></ul> Interested Candidate drop your CV: Janani.m@idexcel.com

Idexcel Technologies

Manager - AnalyticsThe Manager will be responsible for the end-to-end management of digital products, ensuring alignment with business objectives and delivering value to users. This role will bridge the gap between technical teams and business stakeholders, providing strategic direction and hands-on leadership throughout the product lifecycle. This will include:<ul><li>Be the voice of the customer and deliver required product functionalities on time</li><li>Coordinate with customers and finalize business requirement documents</li><li>Develop and execute the vision, strategy, and roadmap for digital products in collaboration with cross-functional teams.</li><li>Own product backlog and prioritize based on evolving business requirements</li><li>Manage product lifecycle from concept through launch to optimization, ensuring successful delivery and adoption.</li><li>Work closely with data engineering, UI/UX, data science, and DevOps professionals to translate business needs into innovative digital solutions.</li><li>Leverage data engineering principles to drive product development supported by actionable insights and analytics.</li><li>Oversee cloud-based deployments and integrations, with a focus on GCP and Azure technologies.</li><li>Ensure products comply with best practices in security, scalability, and user experience.</li><li>Engage with stakeholders to gather requirements, prioritize features, and communicate progress and outcomes.</li><li>Monitor key performance indicators (KPIs) and use data-driven approaches to optimize product performance.</li><li>Lead product demos, training sessions.</li><li>Stay abreast of energy industry trends, emerging technologies, and competitive landscape.</li><li>Foster a culture of continuous improvement, innovation, and agile methodology adoption.</li></ul>Technical Competencies:<ul><li>B.Tech. in engineering (+ MBA preferred)</li><li>Proven experience in digital product management or a similar role.</li><li>Knowhow of cloud technologies, specifically GCP and/or Azure.</li><li>Solid grounding in data engineering and DevOps methodologies.</li><li>Experience with the full digital product lifecycle, from ideation to launch and ongoing iteration.</li><li>Demonstrated ability to manage multiple priorities in a fast-paced environment</li><li>Hands-on experience using JIRA for project management, agile workflow tracking, and team collaboration.</li><li>Desirable: Knowledge of the Indian power system or energy sector.</li></ul><h4>Experience Level</h4>Mid Level

Adani Enterprises Ltd

Assistant Manager MIS

AI/ML Team Lead <ul><li>Experience - 4 to 6 years</li><li>Localities preferred</li></ul> Why Join Us?<ul><li>Innovative projects &amp; global exposure</li><li>Growth-driven culture with yearly increments</li><li>Supportive &amp; collaborative team</li></ul> Share your resume now.

Nexuslink Services India Pvt Ltd

Data Science Intern

Scaled Abuse Engineering Analyst , Trust and Safety Ads<h4>Minimum qualifications:</h4><ul><li>Bachelor's degree or equivalent practical experience.</li><li>5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.</li><li>5 years of experience managing projects and defining project scope, goals, and deliverables.</li></ul> <h4>Preferred qualifications:</h4><ul><li>Bachelor's degree or equivalent practical experience in a technical field (computer science, engineering, math, physics).</li><li>Experience in data analysis and related tools and processes.</li><li>Experience in one of the following areas: deriving actionable insights, root-causes and intelligence from complex data sources; rolling out security policies, measuring and communicating impact; cyber security, protecting accounts against any form of cyber threat; or using large-scale data analysis, to resolve complex problems, processes or operations.</li><li>Ability to influence cross-functionally at various levels.</li><li>Excellent communication (written and verbal) and presentation skills.</li></ul><h4>About the job</h4>Trust &amp; Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.
At Google we work hard to earn our users’ trust every day. Trust &amp; Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.<h4>Responsibilities</h4><ul><li>Analyze and solve complex problems using data and statistical methods.</li><li>Identify and prevent fraud and abuse.</li><li>Improve tools and automated systems through data analysis, technical expertise, and present to stakeholders.</li></ul><h4>Experience Level</h4>Mid Level

Google India Pvt Ltd

Graduate Engineering Trainee

Data Engineering Manager (Databricks Expert) We're hiring a 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐌𝐚𝐧𝐚𝐠𝐞𝐫 (𝐃𝐚𝐭𝐚𝐛𝐫𝐢𝐜𝐤𝐬 𝐄𝐱𝐩𝐞𝐫𝐭) for 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐆𝐫𝐚𝐝𝐞 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬. Experience: 7+ years in Databricks and PySparkKey Skills:<ul><li>Expertise in Databricks, Unity Catalog, Databricks Genie, PySpark, and data pipeline development</li><li>Proficiency in SQL, Python, and cloud platforms (Azure/AWS/GCP)</li><li>Strong understanding of data modeling and ETL processes</li><li>Familiarity with SAP (Modules - MM, FI, SD, PP, CO, PS, HCM) and other well-known ERP Systems</li></ul> If you're ready to lead innovative data solutions, please apply with the mail subject as \"Applying for Data Engineering Manager (Databricks Expert)\".

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