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Lead Data ScientistAbout ChubbChubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&amp;P 500 index. Chubb employs approximately 43,000 people worldwide. Additional information can be found at: <a href="http://www.chubb.com">www.chubb.com</a>.About Chubb IndiaAt Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We are proud to share that we have been officially certified as a Great Place to Work® for the third consecutive year, a reflection of the culture at Chubb where we believe in fostering an environment where everyone can thrive, innovate, and grow.With a team of over 2500 talented professionals, we encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape.We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning.Position Details:<ul><li>Function/Department: Advanced Analytics</li><li>Location: Bangalore, India</li><li>Employment Type: Full-time</li><li>Role Overview – Lead Data Scientist</li></ul>Chubb is looking for a Lead data scientist to join our fast-paced, high-energy team responsible for delivering bleeding edge solutions leveraging AI. This position offers the opportunity to be part of our AI engineering team in delivering high quality AI productsResponsibilities:<ul><li>Work closely with team of data scientists to design, build, and test machine learning models to solve complex business challenges on Azure platform.</li><li>Researching &amp; implementing state of the art modeling approaches including but not limited to zero-shot/few-shot learning, embedding techniques, fine-tuning etc.</li><li>Ensure high quality code that meets business objectives, quality standards and secure web development guidelines.</li><li>Building reusable tools to streamline the modeling pipeline and sharing knowledge.</li><li>Manage project stakeholder expectations and issue communications on progress.</li><li>React to shifting priorities without compromising deadlines and momentum</li></ul><ul><li>9+ years’ experience in Machine Learning (ML), with deep expertise in writing, and reviewing production code in Python.<ul><li>Knowledge of ML frameworks and libraries (such as TensorFlow/Pytorch), and exposure to various ML algorithms and their practical implementation in production at large scale.</li><li>Experience with designing scalable end-to-end Machine Learning/NLP systems.</li><li>Experience on distributed, high throughput and low latency architecture.</li><li>Understanding of NLP techniques around text cleaning/pre-processing, entity extraction, encoder-decoder architectures, similarity matching etc. </li><li>Experience building software on top of containerization technology (Kubernetes, Docker etc.), and familiarity with frameworks/tools such as FastAPI, Uvicorn.</li><li>Experience in handling a small team</li><li>Familiarity with Continuous Integration tools such as Jenkins</li></ul></li></ul>Why Chubb?Join Chubb to be part of a leading global insurance company!Our constant focus on employee experience along with a start-up-like culture empowers you to achieve impactful results.<ul><li>Industry leader: Chubb is a world leader in the insurance industry, powered by underwriting and engineering excellence</li><li>A Great Place to work: Chubb India has been recognized as a Great Place to Work® for the years 2023-2024 and 2024-2025</li><li>Laser focus on excellence: At Chubb we pride ourselves on our culture of greatness where excellence is a mindset and a way of being. We constantly seek new and innovative ways to excel at work and deliver outstanding results</li><li>Start-Up Culture: Embracing the spirit of a start-up, our focus on speed and agility enables us to respond swiftly to market requirements, while a culture of ownership empowers employees to drive results that matter</li><li>Growth and success: As we continue to grow, we are steadfast in our commitment to provide our employees with the best work experience, enabling them to advance their careers in a conducive environment</li></ul> Employee BenefitsOur company offers a comprehensive benefits package designed to support our employees’ health, well-being, and professional growth. Employees enjoy flexible work options, generous paid time off, and robust health coverage, including treatment for dental and vision related requirements. We invest in the future of our employees through continuous learning opportunities and career advancement programs, while fostering a supportive and inclusive work environment. Our benefits include:<ul><li>Savings and Investment plans: We provide specialized benefits like Corporate NPS (National Pension Scheme), Employee Stock Purchase Plan (ESPP), Long-Term Incentive Plan (LTIP), Retiral Benefits and Car Lease that help employees optimally plan their finances</li><li>Upskilling and career growth opportunities: With a focus on continuous learning, we offer customized programs that support upskilling like Education Reimbursement Programs, Certification programs and access to global learning programs.</li><li>Health and Welfare Benefits: We care about our employees’ well-being in and out of work and have benefits like Hybrid Work Environment, Employee Assistance Program (EAP), Yearly Free Health campaigns and comprehensive Insurance benefits.</li><li>With you Chubb is better. Whether you are solving challenges on a global stage or creating innovative solutions for local markets, your contributions will help shape the future. If you value integrity, innovation, and inclusion, and are ready to make a difference, we invite you to be part of Chubb India’s journey.</li></ul>  Join Us Apply Now: Chubb India Career page<h4>Experience Level</h4>Senior Level

Chubb Group

Data Scientist

Data Science Manager - Card Data AnalyticsWe have an exciting opportunity for you to lead analytics and AI initiatives, drive career growth, and shape the future of Card Data &amp; AnalyticsAs a Lead Data Scientist in Card Data &amp; Analytics Competitive Intelligence and AI, you will partner with stakeholders to deliver impactful analytics, manage and develop teams, and provide strategic insights to support growth and innovation across the Card businessJob responsibilities<ul><li>Establish partnerships with Card stakeholders to align and deliver the analytics roadmap for Competitive Intelligence and Gen AI initiatives</li><li>Apply advanced analytical techniques to answer high-priority business questions across the Card business</li><li>Lead teams of data scientists and analytics professionals, overseeing development and execution of analytics initiatives</li><li>Serve as a trusted advisor by recommending analytics best practices and methods to identify impactful opportunities</li><li>Identify and articulate market insights and competitor trends using multiple external data sets</li><li>Guide project teams in aggregating competitive intelligence data and synthesizing findings for stakeholders</li><li>Manage, develop, and retain talent while fostering an inclusive team environment</li></ul>Required qualifications, capabilities, and skills<ul><li>Bachelor’s and Master’s degree in a quantitative discipline such as Data Science, Mathematics, Statistics, Physics, Engineering, Economics, or Finance</li><li>Five years applied experience in analytics and leading teams of analysts</li><li>Five years experience with SQL and at least one analytical tool: Python, R, or SAS</li><li>Experience with visualization techniques for data analysis and presentation</li><li>Superior problem-solving, written, oral communication, and presentation skills with experience communicating effectively with all levels of management and partners</li></ul>Preferred qualifications, capabilities, and skills<ul><li>Experience in financial services, digital, or customer experience analytics</li><li>Hands-on experience with Python, SQL, and Tableau</li><li>Familiarity with AI and market intelligence</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 Science ManagerWho We AreAt Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The RoleAs a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer. You will dive deep into the heart of our business, understanding its objectives and requirements – viewing them through the lens of business acumen, and converting this knowledge into a data problem. You’ll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses. In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention – models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally. Additionally, you're not just building and validating models – you’re deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle. Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset – ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation. If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You AreWho You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Skills and Experience •12+ years in IT , Knowledge of modeling tools and programming languages, e.g., Azure ML, Vortex AI AutoML, SageMaker, or Python •Excellent problem-solving, analytical, and critical thinking skills •Communication and presentation skills, with the ability to convey complex data insights to both technical and non-technical audiences •Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail Preferred Skills and Experience •Degree in a quantitative discipline, such as mathematics, statistics, computer science, or mechanical engineering •Professional certification, e.g., Open Certified Data Scientist •Cloud platform certification, e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, or Microsoft Certified: Azure Data Scientist Associate •Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio •Experience in at least one domain, e.g., cybersecurity, IT service management, financial services, or health care Being YouDiversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can ExpectWith state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations.  At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

Kyndryl Solutions Private Limited

Principal Data EngineerJob TitlePrincipal Data Engineer<h4>Summary of the Role</h4>As a Principal Data Engineer, you’ll design and maintain scalable data systems that support analytics and decision-making. You’ll collaborate with cross-functional teams and help shape our data capabilities while supporting others in their growth.<h4>In this role you’ll</h4><ul><li><h4>Design and maintain reliable, scalable data pipelines for both batch and real-time processing.</h4></li><li>Develop and manage ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) workflows using tools such as Apache Spark, Databricks, and Apache Kafka.</li><li>Work closely with data scientists, analysts, and software engineers to build data-driven solutions.</li><li>Support data quality, lineage, and governance across platforms, and improve system performance through tuning and resource management.</li><li>Apply data protection protocols including encryption, access control, and anonymization to ensure data security.</li></ul> <h4>About the Ideal Candidate:</h4><ul><li><h4>Design and implement robust, scalable data pipelines using  Apache Spark, Scala, Kafka, Python and Databricks.  </h4></li><li>Develop and maintain data lakes and warehouses using Delta Lake and SQL</li><li>Implement CI/CD pipelines using Azure, Jenkins</li><li>Should be handson on Python / Scala</li><li>Support analytics and reporting platforms such as Power BI, Qlik Sense, and Kibana.  </li></ul>Diversity &amp; InclusionAmadeus aspires to be a leader in Diversity, Equity and Inclusion in the tech industry, enabling every employee to reach their full potential by fostering a culture of belonging and fair treatment, attracting the best talent from all backgrounds, and as a role model for an inclusive employee experience.  Amadeus is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability or any other characteristics protected by law.

Amadeus India Pvt Ltd

Data Engineer

Senior Data Scientist ISenior Data Scientist IAre you interested in working with data Engineers and analytics to solve problems?  Are you interested in bringing and building up your NLP and (gen) AI expertise to projects?About our team: In RDP, we are describing the world of scientific research as accurately as possible by profiling a wide range of entities, from People and Organizations to research artefacts such as Publications and Grants all the way to topics and concepts that characterize what research is about. Our entity-linking and disambiguation systems integrate data from a diverse set of sources that include millions of research articles to demonstrate market leading performance. The RDP team is large, full of talented people, and highly cross-functional and collaborative: As a data scientist, you will be working together with software engineers, analysts, product managers, and architects on selected areas of focus, and be part of the wider RDP Data Science team. About the Role: As a Data Scientist for the source domain, your focus will be on improving the quality of our links between sources (e.g scientific journals) and works (e.g. articles in scientific journals) as well as source entity extraction. You will work closely with our engineers, architects, product managers and other data scientists within the Sources domain to continually improve Sources systems and your base data will be millions of scientific publications. With data quality being vital to Elsevier’s success, there is a strong focus on measuring and improving data quality and coverage. At the same time, the increasingly large volumes of data from increasingly diverse sources requires you to maintain and develop systems and models that scale well. We tackle some of the hardest data science challenges to solve pressing customer needs and we are looking for a talented, enthusiastic, and collaborative colleague to join our ranks. Responsibilities:-<ul><li>You are passionate about the possibilities of creating value for customers by interconnecting data and improving the quality and richness of data at scale. </li></ul><ul><li>You like to work with others as part of a multidisciplinary team to achieve a common goal, and you are eager to contribute and put your ideas across. </li></ul><ul><li>Wiling to learn new things and come up with practical solutions to technical challenges. </li></ul><ul><li>An interest in the data you’re working with. Our data is largely text based. </li></ul>Requirements:<ul><li>Hands-on experience developing (components of) large scale data science solutions. </li></ul><ul><li>Preferably, a formal qualification in computer science, computational linguistics, data science, machine learning, or other quantitative disciplines. </li></ul><ul><li>Demonstrable coding skills in Python. </li></ul><ul><li>Knowledge of applying machine learning techniques. </li></ul><ul><li>Experience working with data in files (e.g. csv or parquet) </li></ul><ul><li>An understanding of statistics for the purpose of quantitative analysis. </li></ul><ul><li>Experience with Databricks and/or Spark or Pandas </li></ul><ul><li>Familiarity with tools such as Git or Jira </li></ul><ul><li>Familiarity with agile methodologies </li></ul><ul><li>Experience with NLP. </li></ul><ul><li>Experience with databases </li></ul>Work in a Way That Works for You: We promote a healthy work/life balance and provide various well-being initiatives, shared parental leave, study assistance, and sabbaticals to help you meet both your immediate responsibilities and long-term goals. Working for You: We offer comprehensive benefits to support your health and well-being, including: <ul><li>Health insurance for you and your family. </li><li>Enhanced health insurance options at competitive rates. </li><li>Group life insurance for financial security. </li><li>Group accident insurance for protection against accidental death and permanent disability. </li><li>Flexible working arrangements for work-life balance. </li><li>Employee assistance programs for personal and work-related support. </li><li>Medical screenings prioritize your well-being. </li><li>Modern family benefits, including maternity, paternity, and adoption support. </li><li>Long-service awards to recognize dedication. </li><li>New baby gifts to celebrate parenthood. </li><li>Subsidized meals at specific locations. </li><li>Various paid time-off options, including casual leave, sick leave, privilege leave, compassionate leave, special sick leave, and public holidays. </li><li>Free transportation for home-office-home travel in select locations. </li></ul>About Business: We are a global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science, research, health education, interactive learning, and exceptional healthcare and clinical practice. At Elsevier, your work contributes to addressing the world's grand challenges and creating a more sustainable future. We harness innovative technologies to support science and healthcare, partnering for a better world.  We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our <a href="https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fforms.office.com%2Fr%2FeVgFxjLmAK&amp;data=05%7C02%7CSharon.Martin%40lexisnexis.com%7C2104edc7df90474aaf1108dd8cccf948%7C9274ee3f94254109a27f9fb15c10675d%7C0%7C0%7C638821534169028029%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=2Dm7y%2B%2Flckb5oqa13cjE0WAV1kG%2BuqVQDi4dpvwoM5E%3D&amp;reserved=0" rel="noopener noreferrer" target="_blank">Applicant Request Support Form</a> or please contact 1-855-833-5120.Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams <a href="https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fstories.relx.com%2Fhow-to-avoid-job-scams%2Findex.html&amp;data=05%7C02%7CSharon.Martin%40lexisnexis.com%7C2104edc7df90474aaf1108dd8cccf948%7C9274ee3f94254109a27f9fb15c10675d%7C0%7C0%7C638821534169036749%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=bMcV1zP1yRXUuNWYwyGuPPb7lCyTuoA%2BGPT0d5MfO8I%3D&amp;reserved=0" rel="noopener noreferrer" target="_blank">here</a>.Please read our <a href="https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.relx.com%2Fcareers%2Fjoin-us%2Fprivacy&amp;data=05%7C02%7CSharon.Martin%40lexisnexis.com%7C2104edc7df90474aaf1108dd8cccf948%7C9274ee3f94254109a27f9fb15c10675d%7C0%7C0%7C638821534169045885%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=X%2BrqkisseFh6q%2BEqRLuRvCa2dfT9Q2QeATdfGRVQxnI%3D&amp;reserved=0" rel="noopener noreferrer" target="_blank">Candidate Privacy Policy</a>.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.USA Job Seekers:<a href="https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.eeoc.gov%2Fsites%2Fdefault%2Ffiles%2F2023-06%2F22-088_EEOC_KnowYourRights6.12.pdf&amp;data=05%7C02%7CSharon.Martin%40lexisnexis.com%7C2104edc7df90474aaf1108dd8cccf948%7C9274ee3f94254109a27f9fb15c10675d%7C0%7C0%7C638821534169055021%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=mEoTzyFpKtgiRgZnquZyELr%2FkuMrW4%2F9zYB4HMS4hdI%3D&amp;reserved=0" rel="noopener noreferrer" target="_blank">EEO Know Your Rights</a>.

Elsevier

Software Engineer, Data ScienceJoin us as a Software Engineer<ul><li>This is an opportunity for a driven Software Engineer to take on an exciting new career challenge</li><li>Day-to-day, you'll build a wide network of stakeholders of varying levels of seniority</li><li>It’s a chance to hone your existing technical skills and advance your career</li><li>We’re offering this role at associate vice president level</li></ul><h4>What you'll do</h4>In your new role, you’ll engineer and maintain innovative, customer centric, high performance, secure and robust data science solutions. You’ll be working within a feature team and using your extensive experience to engineer software, scripts and tools that are often complex, as well as liaising with other engineers, architects and business analysts across the platform.You’ll be proactively bringing together statistical, mathematical, machine learning and software engineering skills to consider multiple solutions, techniques, and algorithms.In addition, you’ll be:<ul><li>Working with stakeholders to understand their complex requirements and needs of the business, form hypotheses and identify suitable statistical models to meet those needs</li><li>Working in permanent teams who are responsible for the full life cycle, from initial development, through enhancement and maintenance to replacement or decommissioning</li><li>Collaborating to optimise our software engineering capability</li><li>Selecting, building, training, and testing complex machine models, considering model valuation, model risk, governance, and ethics throughout to implement and scale models</li><li>Designing, producing, testing and implementing our working code</li><li>Working across the life cycle, from requirements analysis and design, through coding to testing, deployment and operations</li></ul><h4>The skills you'll need</h4>You’ll need at least eight years of experience in statistical modelling, software engineering, software design, architecture, and an understanding of how your area of expertise supports our customers.You’ll also need:<ul><li>Experience of using statistical software, database languages and big data technologies</li><li>Experience in Python, building machine learning and statistical models</li><li>Understanding to statistical techniques like linear regression, logistic regression, random forest, time series and K Means</li><li>Experience in Azure Cloud technology</li><li>Experience of turning business requirements into a statistical modelling solution</li></ul>Hours45Job Posting Closing Date:02/10/2025<h4>Experience Level</h4>Mid Level

NatWest Group

Software Engineer 1

Principal Engineer, Engineering- Machine Learning and Artificial Intelligence<h4>Company Description</h4>Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.<h4>Job Description</h4>We are seeking a highly skilled Principal Engineer to join our Applied AIML team. This role involves developing and implementing advanced machine learning and artificial intelligence solutions to solve complex problems and enhance our products and operations.<h4>Qualifications</h4>Qualifications:<ul><li>Education: BE or MS in Computer Science, Engineering, or a related field.</li><li>Experience: Proven experience in applied machine learning, natural language processing, and AI development.</li><li>Skills: Proficiency in Python and at least one other programming language (e.g., C, Java, C++). Excellent data analytical skills and experience with large-scale data processing.</li><li>Interpersonal Skills: Strong communication skills and ability to work effectively in a team environment.</li></ul>Preferred Qualifications:<ul><li>Experience with large language models (LLMs) and generative AI technologies.</li><li>Familiarity with AI-powered products and services.</li></ul><h4>Additional Information</h4>Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at <a href="mailto:jobs.accommodations@sandisk.com">jobs.accommodations@sandisk.com</a> to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.<h4>Experience Level</h4>Senior Level

SanDisk India Device Design Centre Pvt.Ltd

Chief Engineer

Automation-Tools/Platform-Automated Artificial Intelligence Tools SpecialistReq ID: 328025 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.We are currently seeking a Automation-Tools/Platform-Automated Artificial Intelligence Tools Specialist to join our team in Bangalore, Karnātaka (IN-KA), India (IN).Experience: 4–6 years Key Responsibilities: •    Build machine learning models to predict asset health, process anomalies, and optimize operations. •    Work on sensor data pre-processing, model training, and inference deployment. •    Collaborate with simulation engineers for closed-loop systems. Skills Required: •    Experience in time-series modeling, regression/classification, and anomaly detection. •    Familiarity with Python, scikit-learn, TensorFlow/PyTorch. •    Experience with ML Ops on Azure ML, Databricks, or similar. •    Understanding of manufacturing KPIs (e.g., OEE, MTBF, cycle time).About NTT DATANTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at <a href="http://us.nttdata.com/en">us.nttdata.com</a>NTT DATA endeavors to make <a href="https://us.nttdata.com">https://us.nttdata.com</a> accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at <a href="https://us.nttdata.com/en/contact-us">https://us.nttdata.com/en/contact-us</a>. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click <a href="http://us.nttdata.com/en/compliance#eeos">here</a>. If you'd like more information on your EEO rights under the law, please click <a href="http://us.nttdata.com/en/compliance#know-your-rights">here</a>. For Pay Transparency information, please click<a href="http://us.nttdata.com/en/compliance#ppnp"> here</a>.

NTT DATA Global Delivery Services Ltd

Senior System Engineer

Senior Data Scientist, Product, Google Play<h4>Minimum qualifications:</h4><ul><li>Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.</li><li>8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of experience with an advanced degree.</li></ul> <h4>Preferred qualifications:</h4><ul><li>Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.</li></ul><h4>About the job</h4>Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.<h4>Responsibilities</h4><ul><li>Guide and inform product development through the application of data science methods.</li><li>Work with Software Engineer and Product Manager (PM) on foundational data capture and processing.</li><li>Investigate to decide on design and functionality choices.</li><li>Evaluate and monitor previous changes, to identify areas for improvement and inform further product direction.</li><li>Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Help solve problems, narrow down multiple options into the approach, and take ownership of open-ended business problems to reach a solution.</li></ul><h4>Experience Level</h4>Senior Level

Google India Pvt Ltd

Senior Associate Data ScientistMake an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.Your day at NTT DATA The Senior Associate Data Scientist is a developing subject matter expert, tasked with supporting the adoption of data science and analytics within the organization. The primary responsibility of this role is to participate in the creation and delivery of data-driven solutions that add business value using statistical models, machine learning algorithms, data mining, and visualization techniques.Key responsibilities:<ul><li>Proactively supports the design, development, and programing methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.</li><li>Receives instructions to research, design, implement and deploy scalable data analytics vision and machine learning solutions to challenge business issues.</li><li>Contributes to the design and enhancement of data collection procedures to include information that is relevant for building analytic systems.</li><li>Ensures that data used for analysis is processed, cleaned and, integrally verified and build algorithms necessary to find meaningful answers.</li><li>Contributes to the designing and coding of software programs, algorithms, and automated processes to cleanse, integrates and evaluates large datasets from multiple disparate sources.</li><li>Takes direction from management/leadership to provide meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.</li><li>Supports the design of scalable and highly available applications leveraging the latest tools and technologies.</li><li>Participates in creatively visualizing and effectively communicating results of data analysis, insights, and ideas in a variety of formats to key decision-makers within the business.</li><li>Receives instructions to create SQL queries for the analysis of data and visualize the output of the models.</li><li>Contributes to ensuring that industry standards best practices are applied to development activities.</li></ul>To thrive in this role, you need to have:<ul><li>Developing in data modelling, statistical methods and machine learning techniques.</li><li>Ability to thrive in a dynamic, fast-paced environment.</li><li>Quantitative and qualitative analysis skills.</li><li>Desire to acquire more knowledge to keep up to speed with the ever-evolving field of data science.</li><li>Curiosity to sift through data to find answers and more insights.</li><li>Developing understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face.</li><li>Ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making.</li><li>Developing ability to create a storyline around the data to make it easy to interpret and understand.</li><li>Self-driven and able to work independently yet acts as a team player.</li><li>Developing ability to apply data science principles through a business lens.</li></ul>Academic qualifications and certifications:<ul><li>Bachelor’s degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field.</li><li>Relevant programming certification preferred.</li><li>Agile certification preferred.</li></ul>Required experience:<ul><li>Moderate level experience in a data science position in a corporate environment and/or related industry.</li><li>Moderate level experience in statistical modelling and data modelling, machine learning, data mining, unstructured data analytics, natural language processing.</li><li>Familiarity with programming languages (R, Python, etc.).</li><li>Moderate level experience working with and creating data architectures.</li><li>Moderate level experience with extracting, cleaning, and transforming data and working with data owners to understand the data.</li><li>Familiarity with visualizing and/or presenting data for stakeholder use and reuse across the business.</li></ul>Workplace type: About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.Third parties fraudulently posing as NTT DATA recruiters NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters—whether in writing or by phone—in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please <a href="mailto:global.careers@nttdata.com" rel="noopener noreferrer" target="_blank">contact us</a>.<h4>Experience Level</h4>Mid Level

Applied AI/ML LeadYou are an innovative thinker passionate about driving AI/ML solutions in financial planning and analysis. You have found the right team.As an Applied AI/ML Lead in our Firmwide Planning &amp; Analysis (FP&amp;A) organization, you will spend each day defining, refining, and delivering enhanced forecasting and analytical capabilities for our firm. You will be responsible for partnering across the organization to provide AI/ML-based solutions, oversight, and coordination of advanced analytical techniques. Our Data Science Center of Excellence (COE) teams are responsible for a wide range of activities including analyzing business problems, experimenting with statistical and machine learning models, developing solutions with state-of-the-art machine learning and deep learning algorithms, and advising cross-functional teams on how to enhance productivity and efficiencies.Job Responsibilities<ul><li>Design, develop and successfully implement AI/ML solutions, based on state-of-the-art ML models (e.g., ChatGPT), to support various use cases such as Document Q&amp;A, Information Retrieval/Summarization, Search, etc.</li><li>Collaborate with stakeholders to understand business requirements and translate them into data science projects. Assist leadership in defining the problem statements, execution roadmap. </li><li>Collaborate with multiple partner teams such as Finance, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production.</li><li>Communicate findings and insights through clear and concise visualizations and reports.</li><li>Stay up-to-date with the latest advancements in data science, machine learning, and related technologies. Collaborate closely with the data science/AI/ML community within the firm, actively identify and introduce off-the-shelf solutions to the FP&amp;A organization.</li><li>Mentor and provide guidance to junior data scientists and analysts. Design and conduct trainings on AI/ML topics to elevate awareness and adoption of AI/ML solutions in the general Finance organization.</li><li>Develop and maintain data pipelines and workflows for efficient data processing. Clean, preprocess, and validate data to ensure data quality and integrity.</li><li>Conduct exploratory data analysis to identify trends, patterns, and insights from large datasets. Perform statistical analysis and hypothesis testing to support data-driven decision-making.</li></ul> Required qualifications, capabilities, and skills.<ul><li>MS or PhD in Computer Science, Data Science, Statistics, Mathematics, or Machine Learning. Strong background in Mathematics and Machine Learning. </li><li>Minimum 3 years of experience in data science, machine learning, or a related role. </li><li>Proficiency in programming languages such as Python or R.</li><li>Experience with LLMs and Prompt Engineering techniques.  </li><li>Strong knowledge of statistical analysis and modeling techniques. Familiarity with data analysis and visualization. Experience with SQL and relational databases.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Strong communication and collaboration skills.</li><li>Ability to work independently and as part of a team. </li></ul>Preferred qualifications, capabilities and skills<ul><li>Solid background in NLP, Generative AI and hands-on experience and solid understanding of Machine Learning and Deep Learning methods and familiar with large language models.</li><li>Proven track record in successful development and deployment of AI/ML based solutions to solve large and complex business operations.</li><li>Experience in leading a team and/or supervising and mentoring junior analysts.</li></ul>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our <a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" rel="nofollow" target="_blank">FAQs</a> for more information about requesting an accommodation.<h4>Experience Level</h4>Senior Level

Business Intelligence Developer

Data Science ManagerDo 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 Data Science Manager to lead a team of data scientists as they work with software engineering teams 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. Each data scientist works closely with a dev lead to co-lead a cross-functional team of software engineers, technical program managers, and designers. Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns.     As part of our team, you will thrive in multidisciplinary environment, 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. You will enable the data scientists on your team to apply their skills, creativity, and aspirations to benefit our customers and advance their careers.    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 your team’s data acquisition efforts, ensuring they know how to use data collection and analysis technologies. You’ll also optimize data analysis delivery and efficiency within and across teams.  </li></ul><ul><li aria-setsize="-1">You will develop new predictive and prescriptive models with the goal of producing viable solutions and oversee data and statistical analyses across multiple teams. You’ll also hold teams accountable for thoroughly reviewing data analysis and modeling techniques and identify opportunities to reuse evaluation models.  </li></ul><ul><li aria-setsize="-1">You will give performance and quality feedback on technologies and products developed by Product Engineering and provide coaching across internal teams to define and execute strategy. You’ll also create the required infrastructure to troubleshoot and identify appropriate solutions, while ensuring the team can execute professional-level coding and debugging.  </li></ul><ul><li aria-setsize="-1">You will champion innovative principles that affect Microsoft’s long-term business goals, while looking for opportunities across multiple customers and developing novel designs for future products. You’ll also establish and implement a customer-oriented focus within the team and organization.  </li></ul><ul><li aria-setsize="-1">Embodies 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><ul><li aria-setsize="-1">Manage a portion of the team’s Book of Work, building portfolio management experience and maximizing value for customers and Microsoft. </li></ul><ul><li aria-setsize="-1">Provide clear career paths and coaching for your team members as a multidisciplinary leader, in collaboration with senior practitioners within the team. </li></ul><ul><li aria-setsize="-1">Act as a player-coach and work directly on engagements—demonstrating hands-on engineering leadership. </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 people-management 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">5+ years people-management 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. <h4>Experience Level</h4>Mid Level

Microsoft Corporation India Pvt Ltd.

Senior Associate Data ScientistOrganization: At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things. Job Title: Senior Associate Data Scientist Location: Bengaluru - Manyata Tech Park Business &amp; Team: Model Risk &amp; Validation team plays a critical role in safeguarding the integrity of data-driven decisions across the Group. We provide second-line assurance through rigorous oversight and challenge, ensuring every model meets internal and regulatory standards. Impact &amp; contribution: As a key member of our Model Risk &amp; Validation team, you’ll drive robust validation processes, deploy cutting-edge analytics tools, and embed robust risk management practices across our model ecosystem. You’ll work with a high-performing quantitative team, collaborating to uphold the integrity of our model risk framework while influencing the Group’s broader AI and transformation strategies. Roles &amp; Responsibilities:<ul><li>Model Validation – Apply your problem solving and critical thinking skills to assess model performance, compliance, and risks.</li><li>AI Evaluation Pipelines – Code in python or equivalent programming languages to establish evaluation pipelines for AI/Gen-AI models in a CI/CD environment.</li><li>Stakeholder Engagement – Establish strong professional relationships with model developers, business units, to ensure transparency and alignment.</li><li>Continuous Improvement – Develop and integrate AI-driven tools to enhance model development/validation quality and speed.</li></ul> Essential Skills:<ul><li>4+ years of experience in the financial services and/or technology sector, or relevant experience in research.</li><li>Strong programming skills and experience with tools like Python, R, SQL, Spark, TensorFlow, and PyTorch; familiarity with version control (GitHub).</li><li>Ability to solve technical problems and execute validation tasks independently.</li><li>Excellent communication skills, with the ability to translate complex technical concepts for diverse audiences.</li><li>Any experience with Gen-AI techniques like RAG, prompt engineering, and/or orchestration tools (e.g., LangChain, LangGraph) would be highly preferred.</li><li>Experience with platforms like AWS SageMaker, AWS Bedrock, or H2O.ai is a plus.</li></ul> Education Qualification: Bachelor’s degree/Master’s degree/Ph.D. in Data Science, Machine Learning, Computer Science, Computational Linguistics, Statistics, Mathematics, Physics.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: 25/10/2025<h4>Experience Level</h4>Mid Level

Commonwealth Bank of Australia

Data ScientistEquifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds,  and make a meaningful impact, we want to hear from you.Synopsis of the role Join our Identity and Fraud Solution Analytics group as a Data Scientist, where you will play a pivotal role Analyze multiple complex data sources using statistical analysis and programming languages to inform business decision making. Delivers analytical and commercial solutions for internal and external customers. Develops models and other analyses to test hypotheses and understand the potential impacts of decisions under various scenarios. Able to communicate analytical results to generate improved business decisions and profitability. Combines business requirements and existing processes and data knowledge to create analytical solutions. What you’ll do ● Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources. ● Leverage knowledge of data structures and algorithms to analyze and prepare data for analysis, assembling data from standard and new data sources ● Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions ● Collaborate with stakeholders to improve model performance, interpret results, and provide actionable insights. ● Works on moderate complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. ● Package, summarize and visualize analytical findings and results for management. ● Evaluate the work of peer and/or junior data scientists to ensure high quality solutions ● Prioritizes and organizes own work to meet deadlines and deliver quality results ● Identifies and solves a range of problems in straightforward situations. ● Design, management and delivery of analytical insights and solutions through data analysis, data management and data science. ● Primary activities include delivering technical, business strategic expertise and ensuring proper governance of data sources, models, attributes and analytic platforms. Accountable for the data and insight strategy and its execution for the companyWhat experience you need ● BS degree in a STEM major or equivalent discipline. ● 2-5 years of experience in a related analytical role, including experience with the design and development of predictive models ● Requires knowledge and experience in own discipline; still acquiring higher-level knowledge and skills ● Python/SQL coding experience is a must have technical skill. ● Artificial Intelligence - Utilize artificial intelligence to improve process efficiency, effectiveness and products ● Collaboration - Work collaboratively across different projects, communicating technical details to technical and non-technical stakeholders. Manage own priorities within and across teams. ● Commercial Acumen - Have a good understanding of a product and related market segments and understand the technical intricacies of how this product solves a commercial problem.● Decision Modeling - Understand advanced statistical concepts used to contribute to the development of stress tested deployable machine learning algorithms (Logistic Regression, Xgboost, Neural Networks, etc.). ● Leadership and Teamwork - Participate in a collaborative and productive team environment and take charge of technical and self development ● Problem Solving - Utilize hypothesis based problem solving to deliver pragmatic resolutions to business problems. ● Statistical Programming - Execute and contribute to version controlled code and make use-case-specific modifications as needed. Manipulate and work with unstructured/structured, small and big data What could set you apart ● Cloud certification strongly preferred. ● Additional role-based certifications may be required depending upon region/BU requirements. ● lending, credit risk and marketing analytics space - both in India &amp;amp; International. ● Chance to use cutting-edge statistical/modeling tools across literally hundreds of data assets. ● Offices located in the center of Bangalore &amp;amp; Mumbai. ● Utilize artificial intelligence to improve process efficiency, effectiveness and products ● Equifax D&amp;amp;A University: skill lab, group &amp;amp; individual learning.We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks.Are you ready to power your possible?  Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!Primary Location: IND-Bangalore-Equifax-AnalyticsFunction: Function - Data and AnalyticsSchedule: Full time

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Software Engineer 1

Chief Engineer

Senior System Engineer

Data Scientist

Data Scientist

Business Intelligence Developer

Data Scientist

Data Scientist

Data Scientist