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Process Mining Data AnalystAt Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signaling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Could you be the full-time Process mining Data specialist in our dynamic IS&amp;T organization we’re looking for?Your future role Step into a pivotal dynamic role and apply your data engineering expertise in the data-driven field of process mining. You’ll be part of a forward-thinking, collaborative team driving digital transformation across the Alstom. As a Process Mining Data specialist, you will be instrumental in enabling data-driven insights and execution management through advanced data integration and modeling. You’ll work closely with cross-functional teams including Manufacturing, Procurement, Supply Chain, Finance, Engineering leveraging Celonis to unlock process adoption and improvement. Your responsibilities will include designing and maintaining robust data pipelines, ensuring high-quality data availability, and supporting process transparency through technical enablement. Specifically, we’ll look to you for: - Connecting and transforming data from enterprise systems into Celonis- Designing scalable ETL/ELT pipelines and data models that reflect business processes- Monitoring data load performance, completeness, and consistency- Ensuring compliance with data governance and security standards- Supporting execution applications and automation flows- Collaborating with analysts and process owners to align technical delivery with business needs- Documenting and troubleshooting data integration and quality issues All about you We value passion and attitude over experience. While we don't expect you to have every single skill, we've listed some qualifications that will help you succeed and grow in this role:<ul><li>Degree in Data Engineering, Computer Science, Information Systems, or a related field</li><li>5+ years of experience in data engineering, preferably in a CoE or enterprise context.</li><li>3+ of hands-on experience with Celonis EMS and Process Mining</li><li>Strong experience in SAP data structures and integration</li><li>Proficiency in SQL and data transformation techniques</li><li>Familiarity with Celonis or other process mining platforms</li><li>Knowledge of Python or other scripting languages is a plus</li><li>Understanding of data privacy and governance principles</li><li>Excellent analytical and problem-solving skills</li><li>Strong communication skills and ability to work with diverse stakeholders</li><li>Curiosity and a continuous learning mindset</li></ul> Things you’ll enjoy Join us on a lifelong transformative journey – the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. You'll also:<ul><li>Enjoy stability, challenges, and a long-term career free from boring daily routines</li><li>Collaborate with transverse teams and helpful colleagues</li><li>Contribute to innovative and visible projects</li><li>Utilize our flexible working environment</li><li>Steer your career in whatever direction you choose across functions and countries</li><li>Benefit from our investment in your development through award-winning learning</li><li>Progress towards leadership roles within our IS&amp;T function</li><li>Benefit from a fair and dynamic reward package that recognizes your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension)</li></ul>You don’t need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, you’ll be proud. If you’re up for the challenge, we’d love to hear from you! Important to noteAs a global business, we’re an equal-opportunity employer that celebrates diversity across the 63  countries we operate in. We’re committed to creating an inclusive workplace for everyone.<h4>Experience Level</h4>Mid Level

Alstom Transport India Ltd

Senior Processing Analyst

AI/ML ConsultantSummaryGuidewire is seeking a talented AI/ML Consultant to join our team. The ideal candidate will have expertise in artificial intelligence and machine learning, with a proven track record of developing and implementing AI/ML solutions. You will work closely with cross-functional teams to drive innovation, enhance product capabilities, and deliver advanced analytics and AI-driven features.Job DescriptionKey Responsibilities: ● Design, develop, and deploy AI/ML models and algorithms to solve complex business problems. ● Collaborate with product managers and engineers to integrate AI/ML solutions into Guidewire applications. ● Conduct data analysis, feature engineering, and model evaluation to improve accuracy and performance. ● Stay current with the latest advancements in AI/ML and recommend innovative approaches. ● Document models, processes, and workflows for transparency and reproducibility. ● Provide technical guidance and mentorship to team members.Qualifications: ● Bachelor’s or Master’s degree in Computer Science, Data Science, AI, ML, or a related field. ● Overall years of 4 years experience for senior consultant ● Proven experience in developing AI/ML models, preferably in the insurance or enterprise software domain. ● Strong programming skills in Python, R, or similar languages. ● Experience with AI/ML frameworks such as TensorFlow, PyTorch, scikit-learn, etc. ● Knowledge of data analytics, data mining, and big data technologies. ● Excellent problem-solving and communication skills. ● Ability to work in a collaborative, fast-paced environment.Preferred Qualifications: ● Experience with cloud platforms such as AWS, Azure, or GCP. ● Familiarity with Guidewire’s platform and ecosystem is a plus. ● Certifications in AI/ML technologies are desirable.About GuidewireGuidewire is the platform P&amp;C insurers trust to engage, innovate, and grow efficiently. We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than 540+ insurers in 40 countries, from new ventures to the largest and most complex in the world, run on Guidewire.As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1600+ successful projects, supported by the largest R&amp;D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation.For more information, please visit www.guidewire.com and follow us on Twitter: @Guidewire_PandC. Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.<h4>Experience Level</h4>Mid Level

Guidewire Software Solutions India Private Limited

Senior Consultant

Data Engineer - #7582We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us!Your opportunity Do you love the transformative impact data can have on a business? Are you motivated to push for results and overcome all obstacles? Then we have a role for you. What you'll do <ul><li>Lead the building of scalable, fault tolerant pipelines  with built in data quality checks that transform, load and curate data from various internal and external systems</li><li>Provide leadership to cross-functional initiatives and projects.</li><li>Influence architecture design and decisions. </li><li>Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.</li><li>Improve engineering processes and cross-team collaboration.</li><li>Ruthlessly prioritize work to align with company priorities. </li><li>Provide thought leadership to grow and evolve DE function and implementation of SDLC best practices in building internal-facing data products  by staying up-to-date with industry trends, emerging technologies, and best practices in data engineering </li></ul>This role requires <ul><li>Experience in BI and Data Warehousing.</li><li>Strong experience with dbt, Airflow and snowflake </li><li>Experience with Apache Iceberg tables </li><li>Experience and knowledge of building data-lakes in AWS (i.e. Spark/Glue, Athena), including data modeling, data quality best practices, and self-service tooling.</li><li>Experience mentoring data professionals from junior to senior levels</li><li>Demonstrated success leading cross functional initiatives</li><li>Passionate about data quality, code quality, SLAs and continuous improvement</li><li>Deep understanding of data system architecture</li><li>Deep understanding of ETL/ELT patterns</li><li>Development experience in at least one object-oriented language (Python,R,Scala, etc.).</li><li>Comfortable with SQL and related tooling</li></ul>Bonus points if you have Experience with ObservabilityPlease note that visa sponsorship is not available for this position. Fostering a diverse, welcoming and inclusive environment is important to us. We work hard to make everyone feel comfortable bringing their best, most authentic selves to work every day. We celebrate our talented Relics’ different backgrounds and abilities, and recognize the different paths they took to reach us – including nontraditional ones. Their experiences and perspectives inspire us to make our products and company the best they can be. We’re looking for people who feel connected to our mission and values, not just candidates who check off all the boxes. If you require a reasonable accommodation to complete any part of the application or recruiting process, please reach out to <a href="mailto:resume@newrelic.com" target="_blank">resume@newrelic.com</a>.We believe in empowering all Relics to achieve professional and business success through a flexible workforce model. This model allows us to work in a variety of workplaces that best support our success, including fully office-based, fully remote, or hybrid.Our hiring process In compliance with applicable law, all persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification. Note: Our stewardship of the data of thousands of customers means that a criminal background check is required to join New Relic. We will consider qualified applicants with arrest and conviction records based on individual circumstances and in accordance with applicable law including, but not limited to, the <a href="https://sfgov.org/olse/sites/default/files/FCO%20poster2020.pdf" target="_blank">San Francisco Fair Chance Ordinance</a>. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. New Relic does not accept unsolicited headhunter and agency resumes, and will not pay fees to any third-party agency or company that does not have a signed agreement with New Relic.New Relic develops and distributes encryption software and technology that complies with U.S. export controls and licensing requirements. Certain New Relic roles require candidates to pass an export compliance assessment as a condition of employment in any global location. If relevant, we will provide more information later in the application process.Candidates are evaluated based on qualifications, regardless of race, religion, ethnicity, national origin, sex, sexual orientation, gender expression or identity, age, disability, neurodiversity, veteran or marital status, political viewpoint, or other legally protected characteristics. Review our Applicant Privacy Notice at <a href="https://newrelic.com/termsandconditions/applicant-privacy-policy" target="_blank">https://newrelic.com/termsandconditions/applicant-privacy-policy</a><h4>Experience Level</h4>Senior Level

New Relic One India Pvt. Ltd.

Data Engineer

Data Scientist Associate SeniorThis role is part of the Asset &amp; Wealth Management Artificial Intelligence Technology/Core Data team and offers opportunity in the financial services industry by developing impactful  Learning solutionsAs a Data Science Associate Senior within Asset &amp; Wealth Management, you will collaborate with all lines of business and functions to deliver software solutions. You will have opportunity to research, experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant business impact. You will also design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to promote and optimize business results.  Job responsibilities<ul><li>Design, deploy and manage prompt-based models on LLMs for various NLP tasks in the financial services domain</li><li>Conduct research on prompt engineering techniques to improve the performance of prompt-based models within the financial services field, exploring and utilizing LLM orchestration and agentic AI libraries.</li><li>Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization</li><li>Communicate effectively with both technical and non-technical stakeholders</li><li>Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency.</li><li>Develop and maintain tools and framework for prompt-based model training, evaluation and optimization</li><li>Analyze and interpret data to evaluate model performance to identify areas of improvement</li></ul>Required qualifications, capabilities, and skills<ul><li>Formal training or certification on software engineering concepts and 3+ years applied experience</li><li>Experience with prompt design and implementation or chatbot application</li><li>Strong programming skills in Python with experience in PyTorch or TensorFlow. Experience building data pipelines for both structured and unstructured data processing.</li><li>Experience in developing APIs and integrating NLP, LLM models into software applications</li><li>Hands-on experience with cloud platforms (AWS, Azure) for AI/ML deployment and data processing.</li><li>Excellent problem-solving and the ability to communicate ideas and results to stakeholders and leadership in a clear and concise manner</li><li>Basic knowledge of deployment processes, including experience with GIT and version control systems. Familiarity with LLM orchestration and agentic AI libraries</li><li>Hands on experience with MLOps tools and practices, ensuring seamless integration of machine learning models into production environment</li></ul>Preferred qualifications, capabilities, and skills<ul><li>Familiarity with model fine-tuning techniques such as DPO and RLHF.</li><li>Knowledge of Java, Spark</li><li>Knowledge of financial products and services including trading, investment and risk management</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

Principal Data ScientistDo you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day? Then, come join us!    The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges.   We work closely with our customers’ engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform.   We are hiring a Principal Data Scientist to help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and services. Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns. You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions.  As part of our team, you will thrive in working with a variety of technologies, not just Microsoft technology. You will solve exciting business problems, contribute to open source, and collaborate with Microsoft product teams.   Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. <h4>Responsibilities</h4><ul><li aria-setsize="-1">You will oversee data acquisition and ensure data is properly formatted and described. You’ll also coach engineers in data cleaning and analysis best practices, identify gaps in current data sets, and drive ethics and privacy discussions around data collection and preparation. </li></ul><ul><li aria-setsize="-1">You will evaluate your team’s models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale. You’ll also conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods. </li></ul><ul><li aria-setsize="-1">You will research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices. You’ll also write extensible code that spans multiple features, and develop expertise in proper debugging techniques. </li></ul><ul><li aria-setsize="-1">You will define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities. You’ll also commit to a customer-oriented focus by acknowledging their needs, and offer customer pragmatic solutions that align with their data capabilities. </li></ul><ul><li aria-setsize="-1">You will embody our <a href="https://careers.microsoft.com/us/en/culture" rel="noopener" target="_blank">culture</a> and <a href="https://www.microsoft.com/en-us/about/corporate-values" rel="noopener" target="_blank">values</a>. </li></ul><h4>Qualifications</h4>Required/Minimum Qualifications (RQs/MQs) <ul><li aria-setsize="-1">Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) </li></ul><ul><li aria-setsize="-1">OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) </li></ul><ul><li aria-setsize="-1">OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) </li></ul><ul><li aria-setsize="-1">OR equivalent experience. </li></ul><ul><li aria-setsize="-1">3+ years customer-facing, project-delivery experience, professional services, and/or consulting experience. </li></ul>  Additional or Preferred Qualifications (PQs) <ul><li aria-setsize="-1">Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) </li></ul><ul><li aria-setsize="-1">OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) </li></ul><ul><li aria-setsize="-1">OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results </li></ul><ul><li aria-setsize="-1">OR equivalent experience. </li></ul><ul><li aria-setsize="-1">Enjoy travel and are comfortable with travel up to 25% </li></ul>  Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world!   At Microsoft, we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world. Within ISE, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers.  It’s an informal and flexible work environment and you’ll be welcome to work in the way that best enables you to get your job done.     We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.      Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the <a href="https://careers.microsoft.com/us/en/accommodationrequest" rel="noopener" target="_blank">Accommodation request form</a>.    Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  ISE is hiring globally! Check out our other open DS positions <a aria-label="Link here &gt;" href="https://jobs.careers.microsoft.com/global/en/search?q=ISEngineering&amp;p=Research%2C%20Applied%2C%20%26%20Data%20Sciences&amp;l=en_us&amp;pg=1&amp;pgSz=20&amp;o=Relevance&amp;flt=true" rel="noopener" target="_blank" title="https://jobs.careers.microsoft.com/global/en/search?q=isengineering&amp;p=research%2c%20applied%2c%20%26%20data%20sciences&amp;l=en_us&amp;pg=1&amp;pgsz=20&amp;o=relevance&amp;flt=true">here &gt;</a>.  #ISEngineering #WSS<h4>Experience Level</h4>Senior Level

Microsoft Corporation India Pvt Ltd.

Data Science & AI Specialist<h4>Why this job matters</h4>As a Senior Data Scientist with ML/LLM/GenAI skills, you will play a critical role in advancing our AI capabilities and driving the development of innovative solutions that harness the power of machine learning, large language models and generative AI. You will work closely with cross-functional teams to design, implement, and optimize AI models, ensuring they deliver actionable insights and tangible business value. Your expertise will be pivotal in shaping our AI strategy and contributing to the overall success of our AI initiatives.<h4>What you’ll be doing</h4>1.Leads the extraction and analysis of big data through the application of Data Science &amp; AI techniques to generate insight from data to support decision-making across the business or to embed in new products and services. 2.Drives model development, including data exploration, training data, feature extraction, validation and scoring. 3.Drives the development of insightful visualisations to make sophisticated analyses accessible to a broad audience. 4.Drives initiatives related to fairness, ethics, interpretability, safety, robustness, and privacy in the context of artificial intelligence and machine learning. 5.Mentors other Data Science &amp; AI professionals, helping to improve the team's abilities by acting as a technical resource. 6.Champions, continuously develops and shares with team knowledge on emerging trends and changes in machine learning and artificial intelligence.<h4>The skills you’ll need to succeed</h4>• Experience with fine-tuning and optimizing AI models for specific tasks and domains. • Knowledge of ethical AI practices and the ability to implement fairness, accountability, and transparency in AI systems. • Familiarity with A/B testing, experimental design, and statistical analysis. • Publications or contributions to the AI/ML community through conferences, journals, or open-source projects.<h4>Required Qualifications</h4>• Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field. • 8+ years of experience in data science, with a focus on Machine Learning, Deep Learning, NLP, LLMs, and generative AI. • Proficiency in programming languages such as Python, R, or Java. • Strong experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers). • Nice to have: In-depth understanding of deep learning techniques and architectures (e.g., Transformers, RNNs, CNNs). • Proven track record of deploying AI models in production environments. • Excellent problem-solving skills and the ability to think creatively and strategically. • Strong communication skills and the ability to convey complex technical concepts to diverse audiences. • Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes) is a plus.<h4>Our leadership standards</h4>Looking in: Leading inclusively and Safely I inspire and build trust through self-awareness, honesty and integrity. Owning outcomes I take the right decisions that benefit the broader organisation.Looking out: Delivering for the customer I execute brilliantly on clear priorities that add value to our customers and the wider business. Commercially savvy I demonstrate strong commercial focus, bringing an external perspective to decision-making.Looking to the future: Growth mindset I experiment and identify opportunities for growth for both myself and the organisation. Building for the future I build diverse future-ready teams where all individuals can be at their best. About usBT Group was the world’s first telco and our heritage in the sector is unrivalled. As home to several of the UK’s most recognised and cherished brands – BT, EE, Openreach and Plusnet, we have always played a critical role in creating the future, and we have reached an inflection point in the transformation of our business.  Over the next two years, we will complete the UK’s largest and most successful digital infrastructure project – connecting more than 25 million premises to full fibre broadband. Together with our heavy investment in 5G, we play a central role in revolutionising how people connect with each other.  While we are through the most capital-intensive phase of our fibre investment, meaning we can reward our shareholders for their commitment and patience, we are absolutely focused on how we organise ourselves in the best way to serve our customers in the years to come. This includes radical simplification of systems, structures, and processes on a huge scale. Together with our application of AI and technology, we are on a path to creating the UK’s best telco, reimagining the customer experience and relationship with one of this country’s biggest infrastructure companies.   Change on the scale we will all experience in the coming years is unprecedented. BT Group is committed to being the driving force behind improving connectivity for millions and there has never been a more exciting time to join a company and leadership team with the skills, experience, creativity, and passion to take this company into a new era.A FEW POINTS TO NOTE:Although these roles are listed as full-time, if you’re a job share partnership, work reduced hours, or any other way of working flexibly, please still get in touch. We will also offer reasonable adjustments for the selection process if required, so please do not hesitate to inform us.DON'T MEET EVERY SINGLE REQUIREMENT?Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We're committed to building a diverse, inclusive, and authentic workplace where everyone can be their best, so if you're excited about this role but your past experience doesn't align perfectly with every requirement on the Job Description, please apply anyway - you may just be the right candidate for this or other roles in our wider team.<h4>Experience Level</h4>Senior Level

BT Group

Senior AI Applied Scientist<h4>Role Summary</h4>As a Senior AI Applied Scientist for The Customer Service Applications Team, you will play a pivotal role in advancing Microsoft's mission to empower every individual and organization on the planet to achieve more. You will contribute to the development and integration of cutting-edge AI technologies into Microsoft products and services, ensuring they are inclusive, ethical, and impactful. You will collaborate across product, research and engineering teams to bring innovative solutions to life, applying your expertise in machine learning, data science, and AI to solve complex problems. Your work will directly influence product direction and customer experiences.<h4>AI Mission and Impact</h4>We are in an era of unprecedented innovation and openness. As Microsoft continues to lead in AI, we are seeking individuals to help tackle some of the most exciting and meaningful challenges in the field. Our vision is to build We are looking for an (insert role/ external title) to join our team This role will combine AI knowledge with applied science expertise, and demonstrate a growth mindset and customer empathy. Join us in shaping the future of AI agents.Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.  <h4>Responsibilities</h4><h4>Bringing the State of the Art to Products</h4><ul><li>Build collaborative relationships with product and business groups to deliver AI-driven impact</li><li>Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques.</li><li>Fine-tune foundation models using domain-specific datasets. - Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis.</li><li>Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, support MLOps/AIOps. Contribute to papers, patents, and conference presentations. - Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs. </li><li>Ability to use data to identify gaps in AI quality, uncover insights and implement PoCs to show proof of concepts.</li></ul><h4>Leveraging Research in real-world problems</h4><ul><li>Demonstrate deep expertise in AI subfields (e.g., deep learning, Generative AI, NLP, muti-modal modelsto translate cutting-edge research into practical, real-world solutions that drive product innovation and business impact.</li><li>Share insights on industry trends and applied technologies with engineering and product teams.</li><li>Formulate strategic plans that integrate state-of-the-art research to meet business goals.</li></ul><h4>Documentation</h4><ul><li>Maintain clear documentation of experiments, results, and methodologies.</li><li>Share findings through internal forums, newsletters, and demos to promote innovation and knowledge sharing </li></ul><h4>Ethics, Privacy and Security</h4>Apply a deep understanding of fairness and bias in AI by proactively identifying and mitigating ethical and security risks—including XPIA (Cross-Prompt Injection Attack) unfairness, bias, and privacy concerns—to ensure equitable and responsible outcomes.<ul><li>Ensure responsible AI practices throughout the development lifecycle, from data collection to deployment and monitoring.</li><li>Contribute to internal ethics and privacy policies and ensure responsible AI throughout AI development cycle from data collection to model development, deployment, and monitoring. </li></ul>Specialty Responsibilities<ul><li>Design, develop, and integrate generative AI solutions using foundation models and more.</li><li>Deep understanding of small and large language models architecture, Deep learning, fine tuning techniques, multi-agent architectures, classical ML, and optimization techniques to adapt out-of-the-box solutions to particular business problems</li><li>Prepare and analyze data for machine learning, identifying optimal features and addressing data gaps.</li><li>Develop, train, and evaluate machine learning models and algorithms to solve complex business problems, using modern frameworks and state-of-the-art models, open-source libraries, statistical tools, and rigorous metrics</li><li>Address scalability and performance issues using large-scale computing frameworks.</li><li>Monitor model behavior, , guide product monitoring and alerting, and adapt to changes in data streams.<ul><li>Deep understanding of small and large language models architecture, Deep learning, fine tuning techniques, multi-agent architectures, classical ML, and optimization techniques to adapt out-of-the-box solutions to particular business problems</li><li>Prepare and analyze data for machine learning, identifying optimal features and addressing data gaps.</li><li>Develop, train, and evaluate machine learning models and algorithms to solve complex business problems, using modern frameworks and state-of-the-art models, open-source libraries, statistical tools, and rigorous metrics</li><li>Address scalability and performance issues using large-scale computing frameworks.</li><li>Monitor model behavior, , guide product monitoring and alerting, and adapt to changes in data streams.</li></ul></li></ul> <h4>Qualifications</h4><h4>Required Qualifications</h4><ul><li>Bachelor’s degree in Computer Science, Statistics, Electrical/Computer Engineering, Physics, Mathematics or related field AND 5+ years of experience in AI/ML, predictive analytics, or research - OR Master’s degree AND 4+ years of experience - OR PhD AND 3+ year of experience - OR equivalent experience</li><li>1+ years of experience with generative AI OR LLM/ML algorithms</li></ul>Other Requirements:<ul><li>Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: </li><ul><li>Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.</li></ul></ul><h4>Preferred Qualifications:</h4><ul><li>Experience with MLOps Workflows, including CI/CD, monitoring, and retraining pipelines.</li><li>Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow)</li><li>3+ years of experience publishing in peer-reviewed venues or filing patents</li><li>Experience presenting at conferences or industry events</li><li>3+ years of experience conducting research in academic or industry settings</li><li>1+ year of experience developing and deploying live production systems</li><li>1+ years of experience working with Generative AI models and ML stacks</li><li>Experience across the product lifecycle from ideation to shipping</li></ul> Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the <a href="https://careers.microsoft.com/us/en/accommodationrequest" rel="noopener" target="_blank">Accommodation request form</a>. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.<h4>Experience Level</h4>Senior Level

Senior Software Automation Engineer

Senior Data Engineer - Ag & Trading<h4>Job Purpose and Impact</h4><ul><li>The Senior Professional, Data Engineering job designs, builds and maintains complex data systems that enable data analysis and reporting. With minimal supervision, this job ensures that large sets of data are efficiently processed and made accessible for trading decision making. </li></ul><h4>Key Accountabilities</h4><ul><li>DATA INFRASTRUCTURE: Prepares data infrastructure to support the efficient storage and retrieval of data.</li><li>DATA FORMATS: Examines and resolves appropriate data formats to improve data usability and accessibility across the organization.</li><li>DATA &amp; ANALYTICAL SOLUTIONS: Develops complex data products and solutions using advanced engineering and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.</li><li>DATA PIPELINES: Develops and maintains streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.</li><li>DATA SYSTEMS: Reviews existing data systems and architectures to identify areas for improvement and optimization.</li><li>STAKEHOLDER MANAGEMENT: Collaborates with multi-functional data and advanced analytic teams to gain requirements and ensure that data solutions meet the functional and non-functional needs of various partners.</li><li>DATA FRAMEWORKS: Builds complex prototypes to test new concepts and implements data engineering frameworks and architectures that improve data processing capabilities and support advanced analytics initiatives.</li><li>AUTOMATED DEPLOYMENT PIPELINES: Develops automated deployment pipelines improving efficiency of code deployments with fit for purpose governance.</li><li>DATA MODELING: Performs complex data modeling in accordance to the datastore technology to ensure sustainable performance and accessibility.</li></ul><h4>Qualifications</h4><ul><li>Minimum requirement of 4 years of relevant work experience. Typically reflects 7 years or more of relevant experience. </li><li>The candidate will be strong in SQL and Python with Snowflake platform experience. An understanding of KAFKA, DBT, Airflow and Astronomer will be beneficial for future initiatives. </li></ul><h4>Experience Level</h4>Senior Level

Cargill India

IN_Senior Associate_Power BI Developer_D&A_Advisory_BangaloreLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelSenior AssociateJob Description &amp; SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.*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:Job Description: Proficiency with Microsoft Excel, Access, PowerPoint, PowerBI and SQL required. What you will deliver · Design and build Power BI reports and dashboards using DAX, Power Query (M), bookmarks, and drill-through features. · Should have strong experience in implementing semantic models using best practices. · Strong experience in Power BI Report Builder, Develop Paginated (RDL) reports. · Tune and optimize reports connected to On-prem / Cloud databases via DirectQuery, ensuring performance. · Manage and monitor Power BI Premium P1 capacity, including auto-scaling, memory usage, CPU load, and report cache strategies. · Monitoring / Troubleshooting on-premises data gateways and optimize connector settings. · Collaborate on report classification, and governance, including report lifecycle, naming conventions, RLS/OLS, and sensitivity labels. · Integrate Power BI with multiple systems and design unified models across sources. · Lead a team of visualization developers and participate in task planning and assignment. · Strong experience in Power BI report automation, and RPA solutions · Strong analytical and data preparation skills with expertise in storytelling through data · Proven experience in managing visualization and reporting services · Skilled in Report wireframing and designing Presentation of Data &amp; Analysis Format data in a clear and concise presentation that communicates and documents analysis findings. Present findings and recommendations to functional areas impacted by analysis. General Responsibilities · Analyzing Data or Information — Identifying the underlying principles, reasons, or facts of information by breaking down information or data into separate parts. · Contributing analyses to departmental groups and committees (including procurement) for presentation.· Organizing, Planning, and Prioritizing Work — Developing specific goals and plans to prioritize, organize, and accomplish your work. · Self-starting projects while generating workable and realistic timeframes to improve the productivity of projects to produce tangible results. · Establishing and Maintaining Interpersonal Relationships — Developing constructive and collaborative working relationships and maintaining them over time. · Spending time to align personal and professional development with experts in all areas of the business. Collectively supplying and recognizing the achievements and successes of others. Physical and Mental Skills and/or Abilities · Statistical &amp; Spreadsheet Proficiency — Using computers and computer systems to evaluate and process information, enter data and set up functions/queries. · Critical Thinking — Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems. · Deductive Reasoning — The ability to apply general rules to specific problems to produce answers that make sense. · Inductive Reasoning — The ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated events).Mandatory skill sets:‘Must have’ knowledge, skills and experiences MS Excel, Power BI, DAX, Data Modelling, SQLPreferred skill sets:‘Good to have’ knowledge, skills and experiences Statistical analysis, SAP AnalyticsYears of experience required:Experience and Qualifications · Proficiency in Microsoft Excel, Access, PowerPoint required; PowerBI and SQL preferred. · Experience Level: 6-9 years · Strong understanding of financial accounting terminology and ability to translate and analyze financial statements from multiple entities.Education qualification:o BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)Education (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Master of Engineering, Master of Business Administration, Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsPower BIOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsAvailable for Work Visa Sponsorship?Government Clearance Required?Job Posting End Date<h4>Experience Level</h4>Senior Level

PriceWaterhouseCoopers Pvt Ltd ( PWC )

BI Developer

Senior Analytics SpecilaistRazorpay was founded by<a href="https://www.linkedin.com/in/kumarshashank/" target="_blank"> Shashank Kumar</a> and<a href="https://www.linkedin.com/in/harshilmathur/" target="_blank"> Harshil Mathur</a> in 2014. Razorpay is building a new-age digital banking hub (Neobank) for businesses in India with the mission is to enable frictionless banking and payments experiences for businesses of all shapes and sizes. What started as a B2B payments company is processing billions of dollars of payments for lakhs of businesses across India. We are a full-stack financial services organisation, committed to helping Indian businesses with comprehensive and innovative payment and business banking solutions built over robust technology to address the entire length and breadth of the payment and banking journey for any business. Over the past year, we've disbursed loans worth millions of dollars in loans to thousands of businesses. In parallel, Razorpay is reimagining how businesses manage money by simplifying business banking (via<a href="https://razorpay.com/x/" target="_blank"> Razorpay X</a>) and enabling capital availability for businesses (via<a href="https://razorpay.com/capital/" target="_blank"> Razorpay Capital</a>). The Role:Senior Analytics Specialist will work with the central analytics team at Razorpay. This will give you an opportunity to work in a fast-paced environment aimed at creating a very high impact and to work with a diverse team of smart and hardworking professionals from various backgrounds. Some of the responsibilities include working with large, complex data sets, developing strong business and product understanding and closely being involved in the product life cycle.Roles and Responsibilities:<ul><li>You will work with large, complex data sets to solve open-ended, high impact business problems using data mining, experimentation, statistical analysis and related techniques, machine learning as needed</li><li>You would have/develop a strong understanding of the business &amp; product and conduct analysis to derive insights, develop hypothesis and validate with sound rigorous methodologies or formulate the problems for modeling with ML</li><li>You would apply excellent problem solving skills and independently scope, deconstruct and formulate solutions from first-principles that bring outside-in and state of the art view</li><li>You would be closely involved with the product life cycle working on ideation, reviewing Product Requirement Documents, defining success criteria, instrumenting for product features, Impact assessment and identifying and recommending improvements to further enhance the Product features</li><li>You would expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms</li><li>You will develop compelling stories with business insights, focusing on strategic goals of the organization</li><li>You will work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness</li><li>Set high standards in project management; own scope and timelines for the team</li></ul> Mandatory Qualifications:<ul><li>Bachelor's/Master’s degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field</li><li>3+ years of high quality hands-on experience in analytics and data science</li><li>Hands on experience in SQL and Python</li><li>Define the business and product metrics to be evaluated, work with engg on data instrumentation, create and automate self-serve dashboards to present to relevant stakeholders leveraging tools such as Tableau, Qlikview, Looker etc.</li><li>Ability to structure and analyze data leveraging techniques like EDA, Cohort analysis, Funnel analysis and transform them into understandable and actionable recommendations and then communicate them effectively across the organization.</li><li>Hands on experience in working with large scale structured, semi structured and unstructured data and various approach to preprocess/cleanse data, dimensionality reduction</li><li>Work experience in Consumer-tech organizations would be a plus</li><li>Developed a clear understanding of the qualitative and quantitative aspects of the product/strategic initiative and leverage it to identify and act upon existing Gaps and Opportunities</li><li>Hands on experience of A/B testing, Significance testing, supervised and unsupervised ML, Web Analytics and Statistical Learning</li></ul>Razorpay believes in and follows an equal employment opportunity policy that doesn't discriminate on gender, religion, sexual orientation, colour, nationality, age, etc. We welcome interests and applications from all groups and communities across the globe.  Follow us on <a href="https://www.linkedin.com/company/razorpay/mycompany/" target="_blank">LinkedIn</a> &amp; <a href="https://twitter.com/Razorpay" target="_blank">Twitter</a><h4>Experience Level</h4>Senior Level

Razorpay Software Pvt Ltd

Senior Analyst

Senior AI EngineerAbout the TeamGroup Data Services (GDS) leads Swiss Re's ambition to be a truly data-driven risk knowledge company. GDS bring expertise and experience covering all aspects of data and analytics to enable Swiss Re in its vision to make the world more resilient.The Data Science &amp; AI unit delivers state of the art AI/GenAI solutions for the Swiss Re Group, working in close collaboration with the business units. The OpportunityJoin us as an Document Retrieval AI Lead for our AI–powered search and conversational solution, reinvent the way reinsurance professionals find insights from millions of contracts and claims. You’ll own all the AI aspects of the RAG solution, including hands-on coding. Key Responsibilities:<ul><li>Own end‑to‑end RAG solutions – orchestrate chunking, embedding, ranking, prompting and answer synthesis for production‑grade GenAI assistants</li><li>Measure what matters – define and track precision, recall, latency and user‑adoption KPIs; drive continuous improvement</li><li>Collaborate &amp; iterate – Pair with engineers, UI/UX, and business experts to release improvements at pace</li><li>Lead and mentor – Guide and coach the small squal of AI engineers</li></ul> To excel in this role, you have:<ul><li>8+ years building production‑grade AI or search systems, including 2+ years hands‑on with RAG</li><li>Expert Python/PySpark and respective frameworks</li><li>Proven track record tuning LLM prompts, embeddings and fine‑tuning loops to maximise results relevancy and recall</li><li>Excellent written and spoken English; comfortable working with global teams</li><li>Bachelor's or Master's degree in Computer Science (or equivalent)</li></ul> How you work:<ul type="disc"><li>Team player with a ‘can do’ attitude</li><li>Self-directed &amp; proactive: you surface problems and drive them to resolution</li><li>Data‑driven pragmatist: anchor decisions in metrics and user feedback, not hype.</li><li>Calm under pressure balance delivery speed with development quality</li><li>Learning accelerator: stay current with retrieval research and share knowledge generously</li></ul> Bonus points:<ul type="disc"><li>Understanding of (re)insurance</li><li>Familiarity with Palantir Foundry</li></ul>  About Swiss Re Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property &amp; Casualty and Life &amp; Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world. Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability. If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.   Keywords:   Reference Code: 135004   <h4>Experience Level</h4>Senior Level

Swiss Re

Senior Data Processing Officer

IN_Senior Associate_AI/ML_Data & Analytics_Advisory_PAN IndiaLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelSenior AssociateJob Description &amp; SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.*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….Responsibilities:Main responsibilities will include: o Develop and implement conversational AI solutions that meet client needs. o Build and train natural language processing models to improve accuracy and understanding. o Design and develop conversational interfaces that are intuitive and easy for users to navigate. o Work with cross-functional teams to integrate conversational AI solutions into existing systems. o Troubleshoot and resolve technical issues related to conversational AI solutions. o Stay up to date with the latest developments in conversational AI and identify new opportunities for growth and innovation.Mandatory skill sets:AI Engineer, NLPPreferred skill sets:AI Engineer, NLPYears of experience required:4-8 YearsEducation Qualification : BE, B.Tech, MCA, M.TechEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Bachelor of Engineering, Master of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsArtificial Intelligence SoftwareOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsAvailable for Work Visa Sponsorship?Government Clearance Required?Job Posting End Date<h4>Experience Level</h4>Senior Level

Senior Associate

Logistics Data Transformation DeveloperExperience: 5 8 Years Work Location: Bangalore, India Reports to: Line Manager<h4>Your Role</h4>As a Logistics Data Transformation Developer, you will work on a wide variety of Business Transformation projects. The role would entail:<ul><li>Understanding the business transformation needs and its impact on the SAP ERP data.</li><li>Participating in customer workshops, gathering and analyzing data requirements.</li><li>Defining the data rules and implementation.</li><li>Active engagement in the entire data transformation/migration cycle.</li><li>Ownership of the module aligned to.</li><li>Communication and collaboration with internal and external project teams.</li></ul>Your Profile Ideally in-depth knowledge, and skills in the following:<ul><li>5 to 8+ years of experience in implementation / support projects/</li><li>migration projects in SAP and ability to write basic to medium level ABAP programs.</li><li>Good to have experience in SAP data migration projects.</li><li>Minimum 2+ years of experience working in SAP Logistics (SD/MM/PP &amp; QM) any of these modules</li><li>Good understanding of the master- and transactional data from functional/process perspective.</li><li>Ability to debug the ABAP code, troubleshoot and fix basic code.</li><li>Knowledge of cross functional integration points.</li><li>Very good analytical and communication skills.</li><li>A self-starter and a team player</li></ul>

Pradeepit Global Consulting Private Limited

Celonis ConsultantJob Description · Data Modeling: Develop, maintain, and optimize Celonis data models, ensuring data consistency and performance forprocess mining. Data modeling with Hana Data base and Vertica SQL is expected.· Data Integration: Extract, transform, and load (ETL) data from various sources (e.g., ERP, CRM, databases) into Celonis.· Process Mining: Collaborate with stakeholders to identify critical business processes and translate them into Celonis datamodels for analysis.· Dashboard Development: Build and maintain dashboards in Celonis to provide actionable insights for stakeholders.· Model Development: Create and optimize process models in OCPM to enable process visualization and diagnostics.· Optimization: Enhance performance of data models and analyses through query optimization and efficient data handling.· Overall experience in Celonis : Minimum 5+ years of experience working with Celonis.· Proficiency in SQL and ETL processes.﻿Technical Skills :1. Celonis      5+ Years Mandatory2.ETL            5+ Years Mandatory3.SQL            ﻿5+ Years Mandatory<h4>Experience Level</h4>Senior Level

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