5437 Data Science Jobs - Page 6

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high-growth & impactful products. You will be helping EY's sector and service line professionals by developing analytics-enabled solutions, integrating data science activities with business-relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. This is a core full-time AI developer role, responsible for creating innovative solutions by applying AI-based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agenda. **Responsibilities:** - 10-12 years of experience in Data Science - Convert business problems into analytical problems and devise a solution approach. - Clean, aggregate, analyze, and interpret the data to derive business insights from it. - Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management. - Work closely with the Solution Architects in deployment of the AI POCs and scaling up to production-level applications. - Should have a solid background in Python and have deployed open-source models. - Work on data extraction techniques from complex PDF/Word Doc/Forms- entities extraction, table extraction, information comparison. **Key Requirements/Skills & Qualifications:** - Excellent academic background, including at a minimum a bachelor's or a master's degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with a strong focus on modern data architectures, processes, and environments. - Solid background in Python with excellent coding skills. - 6+ years of core data science experience in Machine Learning, Large Language Models, Retriever augmented generation, prompt engineering, Deep Learning, Natural Language Processing, Computer Vision, SQL/NoSQL Databases, API Deployment, and webapps creation. - Additional skills requirements include excellent written, oral, presentation and facilitation skills, project management experience, knowledge of firms reporting tools and processes, proactive, organized, and self-sufficient with the ability to prioritize and multitask. **What We Look For:** - A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. - An opportunity to be a part of a market-leading, multi-disciplinary team of 7200+ professionals, in the only integrated global assurance business worldwide. - Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries. **What Working at EY Offers:** At EY, we're dedicated to helping our clients, from startups to Fortune 500 companies - and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer support, coaching, and feedback from some of the most engaging colleagues around, opportunities to develop new skills and progress your career, and the freedom and flexibility to handle your role in a way that's right for you. EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers to the complex issues facing our world today.,

CertED Technologies is seeking a dynamic individual for the position of Data Science AI ML Power BI Excel Tableau Trainer on a contract basis. As a Trainer at CertED Technologies, you will be responsible for developing and conducting training sessions on Data Science, AI, ML, Power BI, Excel, and Tableau for corporate professionals. Your role will involve creating training materials, facilitating hands-on sessions, assessing trainees" performance, and keeping abreast of the latest industry trends. This on-site position is based in Tiruchirappalli, Tamil Nadu, India. The ideal candidate should possess strong analytical skills with proficiency in Statistics and expertise in Data Science and Data Analytics. It is essential to have a solid understanding of Data Analysis, along with experience in AI and Machine Learning technologies. Proficiency in Power BI, Excel, and Tableau is a must for this role. Excellent communication and presentation skills are required, along with the ability to design and deliver engaging training programs. Previous experience in training would be advantageous. Additionally, possessing relevant certifications in Data Science, AI, ML, or related fields will be beneficial for this position.,

We are looking for enthusiastic and honest individuals driven with a passion for creating impeccable experiences for customers. Whatever your main role is, you will have the flexibility and responsibility to explore your ideas. Employ your enthusiasm, drive, and innovation to assist some of the biggest and most successful organizations in changing their businesses. Positive work culture is the most important drawing card for high-demand talent at BizTranSights. Our supportive team welcomes each member with zeal. We have a diverse and inclusive work environment based on mutual trust, respect, and dedication to top performance. We appreciate new visions, acknowledge our employees" abilities and interests, and give them room to grow. Join our team and be a part of a dynamic environment: - Cloud Resources Managed: 0+ - Daily Transactions Managed: 0+ - Business Processes Simplified: 0+ - Costs Saved: $0 M+ Why work with Us: 1. Learn: - Things You'll Learn: Challenge yourself daily, solve real-time problems, think strategically, and help each other expand. 2. Growth: - Experience Growth: Gain new experiences and skills to positively impact your current position and any role you are likely to pursue. 3. Work-Life Balance: - Strike The Balance: Achieve your goals and priorities while maintaining a harmonious work-life balance. 4. Latest Technology: - Access to the latest technology for increased productivity and efficiency. We are Hiring! We are looking for top-notch individuals who are problem solvers, driven, dedicated, and team players with big goals. If you are seeking a team that will welcome you, collaborate with you, challenge you, and help develop your skills to the next level, we want to hear from you. Position: MSBI Developer Ideal Candidate: - 2+ years of experience in ETL/ELT projects using SSIS. - Strong experience in Microsoft SQL Server, Database Design, and Database Modeling. - Experience in Power BI development, including designing & developing dashboards, reports, and data visualization tools. - Experience designing integration scripts using C#.NET. - Experience with troubleshooting & debugging. - Good understanding of the Software Development Life Cycle Process. - Excellent communication, documentation, and interpersonal skills, with problem-solving abilities. - Proactive, highly motivated attitude, detail-oriented, and quick learner. - Experience with software testing, JIRA bug tracking. - General understanding or development exposure in Data Science & Cloud Computing (Azure/AWS) is a plus. - Experience with Agile software Development methodology is a plus. - Minimum Qualification: ME, MTech, BE, BTech, MCA, MSc (Comp. Science). Exciting work environment in a fast-growing company with ample opportunities to thrive in your career working on the latest technologies alongside a passionate team of senior developers in India and the USA. We are looking to add another member to our team who is dependable, detail-oriented, has good communication skills, and is available to conduct calls with USA-based multiple stakeholders/team members. The location for this position is Nagpur.,

You are an experienced and highly qualified Professor in Computer Science and Engineering responsible for leading academic, research, and administrative tasks. Your main duties include teaching undergraduate and postgraduate courses, developing academic curriculum, guiding student research, publishing scholarly articles, and supporting curriculum development. You will be expected to teach courses in Computer Science and Engineering, upgrade academic curriculum to meet industry standards, mentor students in academic and research activities, conduct high-quality research, supervise thesis and projects, participate in departmental and institutional activities, secure funding for research projects, and collaborate with industry and research organizations. To be eligible for this role, you must have a Ph.D. in Computer Science or a related field, at least 10 years of teaching and/or research experience, a track record of research publications in reputable journals, and strong communication, organizational, and leadership skills. Preferred skills for this position include expertise in AI/ML, Data Science, Cybersecurity, IoT, and Cloud Computing, experience with online teaching platforms like Moodle and Google Classroom, and a strong commitment to student success and academic excellence.,

This is a full-time on-site role for a Faculty in Computer Science Engineering, located in Ranchi. As a faculty member, you will be responsible for teaching undergraduate and postgraduate courses, developing curriculum, and conducting research in areas such as data science, cybersecurity, and programming. Your role will also involve mentoring students, participating in academic committees, and contributing to departmental activities and outreach programs. To excel in this role, you should be proficient in Computer Science and Programming, possess experience in Curriculum Development and Data Science, and have specialized knowledge in Cybersecurity. A strong research background and publication record are essential, along with excellent communication and interpersonal skills. A Ph.D. in Computer Science Engineering or a related field is preferred, and prior teaching experience at the university level would be advantageous.,

The role focuses on implementing tools and strategies to analyze large volumes of data, identifying trends, and transforming information into valuable business insights. You will be responsible for setting up information formats and customized views for stakeholders in leadership, marketing, and sales roles throughout the organization. As a data-product owner, you will lead the translation of business requirements into data projects and vice versa, ensuring that data solutions address specific business challenges effectively. Collaborating with internal stakeholders from various departments like SFE, CRM, Marketing, Ethical & Trade Sales, MI, and Finance, you will identify opportunities to implement data-driven solutions. Your responsibilities will include actively contributing to the business intelligence plan, BI environment, and tools, as well as developing a strategic roadmap for Data & Analytics, incorporating Data Science into ANI India's overall Customer/Channel/Sales Force engagement strategy. Moreover, you will create reports and models for forecasting, trending, and predictive analytics, managing ad-hoc reporting, dashboarding, and analytics requirements. By driving data mining efforts and presenting key strategic solutions to business stakeholders for real-time decision-making, you will leverage both traditional (e.g., data lake) and advanced technologies like data science and AI. Furthermore, you will enhance data-based storytelling by summarizing analysis points and effectively visualizing them using BI delivery platforms. The ideal candidate should have over 6 years of experience and prior exposure in Pharma, FMCG, or FMHG sectors would be advantageous. Proficiency in tools such as SQL, SAS, Tableau, MS Excel, Power BI, Adobe Analytics, etc., is required for this role.,

The team at Walmart Global Tech builds reusable technologies to assist in acquiring customers, onboarding and empowering merchants, and ensuring a seamless experience for all stakeholders. They focus on optimizing tariffs and assortment while maintaining Walmart's philosophy of Everyday Low Cost. Additionally, the team creates personalized omnichannel experiences for customers across various platforms. The Marketplace team serves as the gateway for Third-Party sellers, enabling them to manage their onboarding, catalog, orders, and returns. They are responsible for designing, developing, and operating large-scale distributed systems using cutting-edge technologies. As a Staff Data Scientist at Walmart Global Tech, you will be responsible for developing scalable end-to-end data science solutions for data products. You will collaborate with data engineers and analysts to build ML- and statistics-driven data quality workflows. Your role will involve solving business problems by scaling advanced Machine Learning algorithms on large datasets. You will own the MLOps lifecycle, from data monitoring to model lifecycle management. Additionally, you will demonstrate thought leadership by consulting with product and business stakeholders to deploy machine learning solutions. The ideal candidate should have knowledge of machine learning and statistics, experience with web service standards, and proficiency in architecting solutions with Continuous Integration and Continuous Delivery. Strong coding skills in Python, experience with Big Data technologies like Hadoop and Spark, and the ability to work in a big data ecosystem are preferred. Candidates should have experience in developing and deploying machine learning solutions and collaborating with data scientists. Effective communication skills and the ability to present complex ideas clearly are also desired. Educational qualifications in Computer Science, Statistics, Engineering, or related fields are preferred. Candidates with prior experience in Delivery Promise Optimization or Supply Chain domains and hands-on experience in Spark or similar frameworks will be given preference. At Walmart Global Tech, you will have the opportunity to work in a dynamic environment where your contributions can impact millions of people. The team values innovation, collaboration, and continuous learning. Join us in reimagining the future of retail and making a difference on a global scale. Walmart Global Tech offers a hybrid work model that combines in-office and virtual presence. The company provides competitive compensation, incentive awards, and a range of benefits including maternity leave, health benefits, and more. Walmart fosters a culture of belonging where every associate is valued and respected. The company is committed to creating opportunities for all associates, customers, and suppliers. As an Equal Opportunity Employer, Walmart believes in understanding, respecting, and valuing the uniqueness of individuals while promoting inclusivity.,

You have a wonderful opportunity to apply for a Postdoctoral Fellowship in Computational Seismology Lab at IISER Mohali. As a Postdoctoral Fellow, you will be involved in conducting research in various project areas related to seismology, geophysics, and machine learning applications in Earth sciences. The fellowship is funded by the institute, and the selected candidate will be based in Punjab, India. You will have the chance to work on projects such as ambient seismic noise analysis for aquifer stress monitoring, seismological imaging of the Main Himalayan Thrust, earthquake source studies, crustal velocity structure in the NW Himalaya, and application of AI/ML techniques for seismic signal detection and classification. Your key responsibilities will include leading and collaborating on data analysis, modeling, and publication, developing and applying machine learning tools for seismic data interpretation, assisting in establishing computational infrastructure for the lab, contributing to research proposals and collaborative projects, mentoring junior researchers, and presenting research at academic forums. To be eligible for this position, you should have a Ph.D. in Seismology, Geophysics, Earth Sciences, Physics, Data Science, or related computational disciplines. Strong programming skills and experience in data analysis or numerical modeling are required, and prior experience with AI/ML tools such as Python libraries and deep learning frameworks is highly desirable. If you are interested in this opportunity, please send your CV and a brief statement of research interest to jyotima@iisermohali.ac.in. Feel free to share this opportunity with other interested candidates in your network.,

As a Data Analyst/Senior Data Analyst, you will be responsible for planning and implementing the overall analytics and business intelligence strategy regarding the launch, development, and maintenance of capabilities in collaboration with the Data Science teams. You will effectively turn business questions into data analytics. The core responsibilities for the job include the following: Project Ownership: End-to-end ownership of capabilities development/ improvement projects. Work closely with the Data Science team to ensure that new logics and enhancements are developed according to the specifications. Conceptualize solutions that are configurable, adaptable, and scalable. Seek ways to improve and automate day-to-day operations for the team. Collaborate with Product and Analytics teams to help achieve the vision and roadmap. Maintain comprehensive documentation of analysis methods and findings. Data Analytics: Understand business needs, formulate end-to-end analysis that includes data gathering, analysis, and ongoing scaled deliverables. Translate business requirements and user requests into an effective data framework under challenging deadlines. Glean insights to make data-driven recommendations regarding new model development or existing model improvement. Stay updated with industry best practices and emerging trends in Data Analytics. Capability Performance Assessment: Understand and optimize key performance metrics relevant to the organizational goals. Evaluate KPIs and conduct tests to assess the success and impact of deployed capabilities. Identify areas for improvement based on data-driven insights and user feedback. LLM Solutions Integration in Products: Participate in developing Generative AI Capabilities and integrate them into the products. Work on effective prompt engineering and ensure output safeguarding. Monitor LLM solutions on production. Requirements: Undergraduate degree from a top-tier institute with 2-4+ years of work experience. 2+ years of work experience in data analytics, pattern analysis, and feature engineering. Proficiency in spreadsheets (Excel), word processing, and PowerPoint. Understanding of data extraction using SQL and data manipulation using Python. Strong analytical and problem-solving skills with a keen attention to detail. Understanding of ML concepts and applications, particularly in the context of Generative AI. Proven ability to work and thrive in a high-performing team with initiative to learn.,

As a Measurement & Report Senior Analyst at Accenture, you will play a crucial role in the Finance Operations vertical. Your primary responsibility will be to determine financial outcomes by collecting operational data/reports, conducting analysis, and reconciling transactions. You will leverage your expertise in general accounting practices and data science to extract valuable insights from structured and unstructured data. Your key tasks will include designing and building interactive dashboards and visual reports using tools like Power BI, Tableau, Looker, or similar software. You will be expected to create data stories that effectively communicate findings to both technical and non-technical audiences. Additionally, you will collect, process, and analyze large datasets from multiple sources to develop dashboards, reports, and key performance indicators that support critical business functions. In this role, you will need to analyze and solve increasingly complex problems independently. Your day-to-day interactions will primarily be with peers within Accenture, with occasional engagement with clients and/or Accenture management. While you will receive minimal instruction on daily tasks, you can expect a moderate level of guidance on new assignments. Your decisions will directly impact your own work and potentially influence the work of others. As an individual contributor or a team overseer, you will be responsible for a small work effort and may lead a team. It is important to note that this position may require you to work in rotational shifts to meet business requirements. If you are a seasoned professional with a Bachelor of Commerce degree and possess 5 to 8 years of relevant experience, and if you are passionate about leveraging data science to drive actionable insights in the field of finance and accounting, we invite you to join our dynamic team at Accenture.,

The ideal candidate for this position should have 8-12 years of experience and possess a strong understanding and hands-on experience with Microsoft Fabric. You will be responsible for designing and implementing end-to-end data solutions on Microsoft Azure, which includes data lakes, data warehouses, and ETL/ELT processes. Your role will involve developing scalable and efficient data architectures to support large-scale data processing and analytics workloads. Ensuring high performance, security, and compliance within Azure data solutions will be a key aspect of this role. You should have knowledge of various techniques such as lakehouse and warehouse, along with experience in implementing them. Additionally, you will be required to evaluate and select appropriate Azure services like Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks, Unity Catalog, and Azure Data Factory. Deep knowledge and hands-on experience with these Azure Data Services are essential. Collaborating closely with business and technical teams to understand and translate data needs into robust and scalable data architecture solutions will be part of your responsibilities. You should also have experience in data governance, data privacy, and compliance requirements. Excellent communication and interpersonal skills are necessary for effective collaboration with cross-functional teams. In this role, you will provide expertise and leadership to the development team implementing data engineering solutions. Working with Data Scientists, Analysts, and other stakeholders to ensure data architectures align with business goals and data analysis requirements is crucial. Optimizing cloud-based data infrastructure for performance, cost-effectiveness, and scalability will be another key responsibility. Experience in programming languages like SQL, Python, and Scala is required. Hands-on experience with MS SQL Server, Oracle, or similar RDBMS platforms is preferred. Familiarity with Azure DevOps and CI/CD pipeline development is beneficial. An in-depth understanding of database structure principles and distributed data processing of big data batch or streaming pipelines is essential. Knowledge of data visualization tools such as Power BI and Tableau, along with data modeling and strong analytics skills is expected. The candidate should be able to convert OLTP data structures into Star Schema and ideally have DBT experience along with data modeling experience. A problem-solving attitude, self-motivation, attention to detail, and effective task prioritization are essential qualities for this role. At Hitachi, attitude and aptitude are highly valued as collaboration is key. While not all skills are required, experience with Azure SQL Data Warehouse, Azure Data Factory, Azure Data Lake, Azure Analysis Services, Databricks/Spark, Python or Scala, data modeling, Power BI, and database migration are desirable. Designing conceptual, logical, and physical data models using tools like ER Studio and Erwin is a plus.,

As a Senior Data Engineering Architect at Iris Software, you will play a crucial role in leading enterprise-level data engineering projects on public cloud platforms like AWS, Azure, or GCP. Your responsibilities will include engaging with client managers to understand their business needs, conceptualizing solution options, and finalizing strategies with stakeholders. You will also be involved in team building, delivering Proof of Concepts (PoCs), and enhancing competencies within the organization. Your role will focus on building competencies in Data & Analytics, including Data Engineering, Analytics, Data Science, AI/ML, and Data Governance. Staying updated with the latest tools, best practices, and trends in the Data and Analytics field will be essential to drive innovation and excellence in your work. To excel in this position, you should hold a Bachelor's or Master's degree in a Software discipline and have extensive experience in Data architecture and implementing large-scale Data Lake/Data Warehousing solutions. Your background in Data Engineering should demonstrate leadership in solutioning, architecture, and successful project delivery. Strong communication skills in English, both written and verbal, are essential for effective collaboration with clients and team members. Proficiency in tools such as AWS Glue, Redshift, Azure Data Lake, Databricks, Snowflake, and databases, along with programming skills in Spark, Spark SQL, PySpark, and Python, are mandatory competencies for this role. Joining Iris Software offers a range of perks and benefits designed to support your financial, health, and overall well-being. From comprehensive health insurance and competitive salaries to flexible work arrangements and continuous learning opportunities, we are dedicated to providing a supportive and rewarding work environment where your success and happiness are valued. If you are inspired to grow your career in Data Engineering and thrive in a culture that values talent and personal growth, Iris Software is the place for you. Be part of a dynamic team where you can be valued, inspired, and encouraged to be your best professional and personal self.,

Are you ready to take your career to the next level in the fast-paced world of technology Join our career-focused, paid bootcamps curated by industry experts to help ambitious professionals and students like yourself succeed. Whether you are a fresher looking to kickstart your career, a job-seeker aiming to upskill, or a working professional seeking career advancement, our bootcamps in specialized areas such as Cybersecurity, Data Science, Blockchain, UI/UX Design, and AI are tailored to provide you with more than just certificates. You will acquire essential skills, boost your confidence, and gain clarity on your career path. What you can expect: - Industry-relevant training that is up-to-date - Hands-on project experience to apply your skills - Guidance on certifications and interview preparation - Ongoing career support beyond the completion of the bootcamp Our bootcamps are paid programs, as we believe in providing quality education that is supported by expert mentorship and structured outcomes, necessitating a real investment from both you and us. If you are interested in learning more about the upcoming batch dates, feel free to drop a comment or message us. Let's work together to turn your career aspirations into reality.,

As a Subject Matter Expert in Data Science, your role will involve creating educational content, conducting training sessions, developing curriculum, and supporting students in their learning journey. You will work on in-depth projects related to data science, data analytics, and data analysis, while also assisting in statistical and analytical problem-solving. To excel in this role, you should possess strong skills in Data Science and Data Analytics, along with proficiency in Data Analysis and Analytical Skills. Experience and knowledge in Statistics are essential, along with excellent communication and presentation skills. Your ability to break down complex concepts for easier understanding will be crucial in this position. Prior teaching or training experience will be advantageous. We are looking for individuals with a Masters degree or higher in Data Science, Statistics, Computer Science, or a related field. Candidates with relevant experience in academic and curriculum design are encouraged to apply. Please note that only shortlisted candidates will be contacted. This is a full-time, on-site position located in Tirupati. If you are passionate about data science and education, and possess the required qualifications and skills, we invite you to apply for this rewarding opportunity.,

With the increase in accessibility and usage of Machine Learning models, the standards that these models must adhere to are evolving at a rapid pace. The ML Model Risk team helps the developers adhere to these ever-evolving standards and regulations and helps them take a risk-first approach to model development. As a Machine Learning Model Risk VP within our Applied AI and Machine Learning organization, you will be part of a team focused on reducing model risk. You will ensure robust model development processes, apply machine learning and data science methodologies to financial markets, and collaborate with developers to reduce model risk. You will also guide models through the review process, evaluate new ML vendor tools, and ensure compliance with evolving ML development standards. This role provides an opportunity to participate in cutting-edge research and contribute to the development of our machine learning models. You will be expected to guide and lead junior data scientists. Job responsibilities include participating in cutting-edge research and applying machine learning and data science methodologies to financial markets and related operations. Analyzing the models through a risk-based lens and collaborating with developers to reduce model risk. Providing feedback and collaborating with users and developers to ensure optimal development of ML models. Developing and maintaining a list of tests to validate various common techniques used to build Machine learning models. Guiding models through the review process and enhancing and improving them as required. Evaluating new ML vendor tools for usefulness, effectiveness, and ease of deployment in CIB. Understanding the ever-evolving ML development standards and processes and communicating with developers to ensure compliance. Required qualifications, capabilities, and skills include a Masters, PhD, or equivalent degree program in mathematics, sciences, statistics, econometrics, engineering, financial engineering, computer science, or other quantitative fields. Mastery of advanced mathematics and statistics (i.e., probability theory, time series, econometrics, optimization), with core expertise in statistics and machine learning theory, techniques, and tools. Strong written and oral communication and interpersonal skills. Strong Stakeholder & Project Management skills. Ability to ask incisive questions, converge on critical matters, assess materiality, and escalate issues. Basic understanding of the company's business practices and familiarity with the company's products and services. Preferred qualifications, capabilities, and skills include programming experience with Python; experience in MLOps would be a positive. Experience with python programming and implementing machine learning techniques. Experience in Model Risk or Machine learning teams. Experience in developing testing frameworks for ML models. Experience in handling multiple stakeholders.,

As a Client Solutions Partner specializing in Telecom and AI/Generative AI (GenAI), you will play a pivotal role in advising and guiding telecom clients on leveraging AI technologies to drive innovation, enhance customer experiences, and unlock growth opportunities. Your responsibilities will include building and nurturing strong relationships with key decision-makers, designing and implementing tailored AI solutions, identifying new business opportunities, and ensuring the successful delivery of AI/GenAI initiatives. You will collaborate closely with clients to understand their unique challenges and needs, providing strategic guidance on how AI and GenAI solutions can transform their operations and offerings. Your expertise in AI, machine learning, and generative AI technologies will be essential in designing solutions that address telecom pain points, such as predictive maintenance, network optimization, customer personalization, and automation. In addition to client engagement and solution design, you will lead consultative sales efforts, manage end-to-end project delivery, and work cross-functionally with sales, engineering, product, and support teams to ensure client objectives are met. Your role will also involve advocating for client needs within the organization, monitoring solution performance and ROI, and continuously seeking opportunities for improvement and value creation. To excel in this role, you should possess a Bachelor's degree in a relevant field, proven experience in client-facing roles within the telecom industry, and a deep understanding of AI technologies as applied to telecom operations. Strong communication, presentation, and project management skills are essential, along with a collaborative mindset and the ability to work effectively with diverse teams. Preferred qualifications include experience with telecom-specific AI applications, familiarity with AI platforms and tools, a background in data science or machine learning engineering, and knowledge of AI ethics and regulations in telecom environments. By staying informed about the latest AI trends and technologies, you will be able to provide clients with innovative solutions that drive business success and create lasting value.,

As an early member of Pocket TV's product team, you have the opportunity to work across Monetisation, User Experience, Recommendation, and Growth. This is a high-ownership role that requires deep product thinking, data fluency, and user empathy. Your responsibilities include building innovative monetization models, crafting delightful and habit-forming experiences, improving personalized recommendations, and unlocking exponential growth in user engagement and revenue. You will collaborate cross-functionally with design, engineering, data science, marketing, operations, and content teams to shape the product roadmap and drive execution. Your key responsibilities will involve defining and owning the product vision and roadmap across monetization, experience, recommendations, and growth. You will align the roadmap with business goals, user insights, market trends, and competitive intelligence. Additionally, you will build long-term strategies that balance revenue growth with sustainable user value and retention. In terms of Monetisation Innovation, you will lead monetization initiatives across subscriptions, microtransactions, loyalty programs, offers, and bundling strategies. You will leverage A/B testing and behavioral insights to validate monetization hypotheses and iterate quickly. For User Experience & Retention, you will be responsible for crafting seamless and intuitive experiences across the entire user journey from onboarding and discovery to engagement and conversion. Identifying friction points and using design thinking and data insights to enhance usability and satisfaction will be crucial. Running continuous experiments to boost core engagement metrics and reduce churn will also be part of your role. Regarding Recommendations & Personalization, you will partner with data science and engineering to drive advancements in the recommendation engine. Defining user cohorts and behavioral signals to power contextual and personalized content discovery will be key. You will measure and optimize content consumption patterns to increase session depth and frequency. When it comes to Growth & Acquisition, you will design and execute features and experiments that improve user acquisition, onboarding, referral, and conversion funnels. Collaborating with performance marketing and growth teams to amplify paid and organic levers will be essential. Leveraging growth loops, gamification, and community features to create viral mechanics and increase user stickiness is also part of the role. The ideal candidate for this position would have at least 5 years of experience in consumer product management, ideally in B2C, social, content, or entertainment platforms. A proven track record of owning and scaling monetization, growth, or recommendation-driven products is required. Strong analytical and experimentation skills, comfort with SQL, dashboards, and deriving actionable insights are necessary. High user empathy with a passion for storytelling, creator platforms, or media consumption behavior is desired. Deep experience working with cross-functional teams in a fast-paced and agile environment is essential. Exceptional communication, leadership, and stakeholder management abilities are also key qualities sought after in candidates for this role.,

As a Project Manager at GfK, you will be responsible for managing international research projects through external suppliers and internal operations departments. Your role will involve ensuring that designated projects are executed in compliance with budget, time, and quality standards. Additionally, you will provide general consultation on best international research practices to drive successful project outcomes. GfK is a trusted consumer intelligence firm with a legacy of over 89 years, dedicated to enabling manufacturers and retailers to better understand consumer behavior. We are committed to sustainable growth and take pride in discovering new pathways for our clients, employees, and the planet. As an inclusive and ethical company, we prioritize equal employment opportunities and strive for all our employees to reach their full potential. We value collaboration and innovation at GfK, offering a flexible working environment that combines office-based and remote work options. Embracing an entrepreneurial spirit, we leverage the latest digital technologies to create solutions and overcome challenges. If you are an open-minded individual looking to pioneer disruptive methods in market research, data science, technology, and AI, GfK is the perfect platform for you to shape tomorrow and drive the digital revolution. Join us at GfK, where diversity and inclusion are at the core of everything we do. Learn more about our commitment to creating an inclusive workplace by visiting https://www.gfk.com/about-gfk/diversity-and-inclusion. Take the opportunity to play a leading role in our story, where your integrity and passion for driving things forward will be nurtured and supported. We look forward to welcoming you to the GfK family!,

About Credit Saison India Established in 2019, Credit Saison India (CS India) is one of the fastest-growing Non-Bank Financial Company (NBFC) lenders in the country. With verticals in wholesale, direct lending, and tech-enabled partnerships with Non-Bank Financial Companies (NBFCs) and fintechs, CS India's tech-enabled model and underwriting capability facilitate lending at scale, addressing India's significant credit gap, particularly in underserved and underpenetrated segments of the population. Committed to long-term growth and evolution in the Indian market, Credit Saison India caters to MSMEs, households, individuals, and more. Registered with the Reserve Bank of India (RBI) and boasting an AAA rating from CRISIL (a subsidiary of S&P Global) and CARE Ratings, CS India currently operates through a branch network of 45 physical offices, servicing 1.2 million active loans, managing an AUM of over US$1.5 billion, and employing approximately 1,000 individuals. Part of Saison International, a global financial company dedicated to bringing people, partners, and technology together to create resilient and innovative financial solutions for positive impact, Credit Saison India aligns with Saison International's mission to be a transformative partner in enabling opportunities and fulfilling people's dreams. Roles & Responsibilities: - Conduct Portfolio Analysis and Monitor Portfolio delinquencies at a micro level, identifying delinquent segments, programs, locations, and profiles. - Assist in developing credit strategies across the customer lifecycle, including acquisitions, management, fraud, and collections. - Perform necessary analytics to identify trends within the Portfolio. - Provide analytical support for internal portfolio reviews and enhance the portfolio's quality. - Collaborate with the Product and Engineering teams to implement Risk strategies. - Work with the Data Science team to provide inputs on key model variables and optimize risk models" cut-offs. - Develop a deep understanding of various data sources (Traditional and alternate) for effective underwriting. - Demonstrate a good understanding of various unsecured credit products. - Analyze business problems and convert them into analytical solutions. Required Skills & Qualifications: - Bachelor's degree in Computer Science, Engineering, or a related field from a top-tier institution (IIT/IIIT/NIT/BITS). - 5+ years of experience in Data Science, Risk Analytics, or Risk Management, with expertise in building models, Risk strategies, or generating risk insights. - Proficiency in SQL and other analytical tools/scripting languages like Python or R. - Deep understanding of statistical concepts, including descriptive analysis, experimental design, Bayesian statistics, confidence intervals, and Probability distributions. - Proficiency in statistical and data mining techniques. - Experience with machine learning techniques such as decision tree learning. - Familiarity with working on both structured and unstructured data. - Preferred experience in Fintech, Retail, SME, LAP, or Secured lending domains.,

The Senior Risk Analyst, Loss Forecasting will be an organized and motivated team player with a strong sense of ownership. As a key member of the credit risk management team, you will be responsible for creating and tracking appropriate KPIs, developing and maintaining forecasting frameworks and processes, and serve as an active team player in credit reviews. You will develop and maintain forecasting, CECL, and Stress Testing models for fintech products and will be expected to find opportunities to enhance and automate existing processes. Craft dashboards to track KPIs around portfolio performance, including deep diving into credit strategies and their impact on it. Extend analytical support to advance fintech collections strategy and build forecasting frameworks for key collections KPIs. Use analytical techniques to mine loan characteristics/performance data to extract valuable insights for the business. Use data visualization techniques to develop relevant reports for Senior Management. Track industry environment and competitor landscape to support the business. Correlate Macro-Economic conditions with fintech internal loan performance to support recession readiness and long-run planning. Leverage forecasting outputs in the monthly allowance process (CECL) and identify areas where qualitative adjustment is needed. Support planning and budgeting exercises within the company by leveraging forecasting assumptions and outputs. Work closely with key partners to ensure forecast and allowance assumptions are accurate. About You 4+ years of experience in credit, analytics, IFRS9 and CECL, risk management, data science, or information management. Bachelors or masters degree with a quantitative background (e.g. Statistics, Math, Engineering, Economics). Strong technical skills such as SQL, SAS, R, and Python. Experience with BI/data visualization tools (like Tableau or Excel to create dashboards). Excellent written and verbal communication skills, including the ability to communicate project scope in documentation and presentation format. Experience in the Financial / FinTech industry is a plus. Previous experience with loss forecasting and collections analytics, allowance.,

The Workplace Technology Analyst position based in Hyderabad or Chennai, India, involves supporting a global portfolio and working EMEA hours. As a Workplace Technology Analyst, your primary responsibilities will include collaborating with Worktech stakeholders to understand business and data needs, developing tailored reporting solutions, extracting, cleaning, and analyzing large datasets from multiple sources to provide comprehensive insights into business metrics. You will conduct deep-dive analysis to identify patterns, trends, and relationships in data to inform key business decisions. Additionally, you will translate business questions into data requirements and provide concise answers through reporting and assist in creating presentations of key information and data insights. Ensuring data quality and accuracy through validation techniques, best practices, and governance processes will be a crucial part of your role. You will provide feedback to internal development teams on data display in internal solutions, proactively suggest improvements to enhance data reliability and efficiency, and participate in cross-functional projects focused on leveraging data to drive innovation and continuous improvement. Staying updated on the latest technology solutions and integrating new techniques into business reporting workflows will also be part of your responsibilities. You may need to undertake additional duties as required to support daily operations. The ideal candidate for this role should possess a Bachelor's degree in computer science, Data Science, or a related field, along with at least 3 years of experience in Data Analytics or real estate technology. Excellent communication skills are required, with the ability to present complex ideas and data insights to non-technical stakeholders. You should be willing to learn and understand business operations across multiple regions and business units, have critical thinking skills with an inquisitive mindset, and the ability to find solutions and make recommendations. The role requires the ability to work well under pressure, respond to fast-changing priorities and deadlines, and manage multiple tasks and projects simultaneously. Proficiency in at least one dashboarding solution such as Tableau, Looker, or Qlik is preferred for this position. Joining the team will give you the opportunity to shape the future of workplace technology at JLL. To apply for this position, please submit your resume and cover letter through our online application system. We are looking forward to hearing from you!,

As an AI/ML Engineer at our growing company, you will play a crucial role in leading the development of an AI-powered customer support solution. Your primary responsibility will be to design, develop, and deploy a human-like conversational AI tool. This presents a unique opportunity for you to take ownership of the entire AI lifecycle, all while contributing to a groundbreaking product within a lean and agile environment. Your key responsibilities will involve AI and Machine Learning Development, where you will design, train, and fine-tune AI models for sentiment analysis, speech recognition, and conversational AI. Moreover, you will focus on building models that can adapt to regional dialects, informal language, and varying emotional tones, as well as developing and optimizing a self-training module that learns from human interactions. In the realm of Software Development, you will be tasked with designing and developing APIs for seamless voice-based interaction and system integration. Additionally, you will implement scalable and efficient backend architecture to support AI functionalities and construct front-end interfaces or dashboards for training, monitoring, and analytics purposes. Integration is another critical aspect of your role, where you will be responsible for integrating the AI tool with customer platforms such as CRMs, telephony systems, and email support tools. It will also be essential to ensure compatibility with third-party tools like Twilio, Zapier, or AWS Connect for voice functionalities. Your role will also involve Testing and Optimization, where you will conduct end-to-end testing to ensure high-quality performance and robustness. You will further optimize algorithms for real-time response and low latency to enhance user experience. Project Ownership will be a significant part of your responsibilities, requiring you to manage data preparation and processing pipelines. Collaborating with stakeholders to prioritize features for a minimum viable product (MVP) while staying up-to-date with the latest AI/ML tools and frameworks for continuous improvement will also be essential. To excel in this role, you should hold a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Your AI/ML Expertise should include proficiency in NLP frameworks, experience with machine learning libraries like TensorFlow, PyTorch, or Scikit-learn, and knowledge of transfer learning and fine-tuning pre-trained models. Strong Python skills, familiarity with JavaScript or similar languages, experience with RESTful APIs, knowledge of databases, and basics of DevOps are also required. If you have worked on conversational AI or voice-based interaction systems, familiarity with telephony tools, hands-on experience in deploying AI solutions at scale, or experience in handling customer-facing AI tools for industries like e-commerce, banking, or insurance, it would be considered a plus. Your success in this role will be driven by your expertise in Artificial Intelligence (AI), Machine Learning (ML), and Data Science.,

We are looking for a Senior Quantitative Credit Risk Strategist to join our team. In this role, you will collaborate with analysts, risk managers, and leaders to analyze customer characteristics, identify risk factors, and recommend underwriting and collections strategies to meet our risk and return objectives. If you possess an analytical and data-driven mindset, attention to detail, and a proactive attitude, then this position is perfect for you. Your responsibilities will include analyzing data to pinpoint risk drivers and suggest mitigation strategies. You will work closely with the Data Science team to develop and evaluate credit, account management, and collection models. Moreover, you will be tasked with establishing credit strategies and policies to minimize risk while fostering business growth. Your role will also involve enhancing collection performance through operational, policy, and modeling enhancements, as well as defining underwriting and account management strategies. Additionally, you will collaborate with R+D, Product, and Operations teams to test and introduce new features and products. To be successful in this role, you should have at least 6 years of experience in retail, consumer, or SMB finance in a credit risk or strategy capacity, ideally within the fintech or banking sector. You must demonstrate proficiency in crafting credit memos and documenting credit decisions and strategies. Hands-on experience in leveraging data and analytics to steer credit risk strategies is essential, along with a background in A/B testing. A Master's degree or higher in a quantitative field such as Mathematics, Statistics, Economics, OR Business is required. Furthermore, you should possess advanced data analytics skills, including expertise in SQL, Python/R, Excel, and data visualization tools like Tableau or Hex. Familiarity with statistical modeling is also advantageous. The ideal candidate will have the ability to exert influence in a cross-functional, non-hierarchical environment to foster collaborations and propel initiatives forward.,

As the Manager of Technical Engineering at Kohler Co., you will be joining the Digital Experience (DX) organization with a mission to help people live gracious, healthy, and sustainable lives. In this role, you will be a key leader focusing on integrating cutting-edge technology and design to drive a Bold ambition for customers in North America. Your responsibilities will include leading, coaching, and developing all technical and engineering resources for interconnected products and experiences. This involves overseeing global multi-disciplinary teams working on advanced technology across artificial intelligence, software engineering, and interactive content through XR development frameworks. To excel in this position, you should be an inspiring people leader, a change agent, and a technology innovator who understands modern customer expectations and knows how to translate them into reality. Your success will be measured by achieving customer outcomes, therefore, emphasizing driving results and turning strategy into tangible value through experimentation and iteration will be crucial. Key Responsibilities: - Provide proactive technical leadership across multiple complex digital products and initiatives. - Build and lead global technical teams focused on delivering quality and exceeding committed deliverables. - Scale technical teams with the right resources to ensure successful outcomes. - Lead a team of engineers working on data science, XR, and interactive & immersive content. - Identify opportunities for team training and skill advancement. - Understand the connection between business, customer outcomes, and digital technology. - Collaborate with product management, design, and engineering resources to find creative solutions. - Recruit, grow, and develop a team of passionate engineers. - Communicate effectively with various stakeholders including product managers, designers, engineers, and senior management. Qualifications/Competencies And Education/Experience: - Curiosity and creativity in mindset and practice. - Ability to foster a collaborative culture and proficiency in collaboration tools. - Track record of delivering interconnected digital products across complex channels. - Strong communication skills for varied audiences. - Self-driven with the ability to deliver on ambiguous projects. - Bachelors or masters degree in computer science, engineering, or a related field. - 12-15 years of experience in digital product engineering or software development. - Experience in leading and managing a team of digital software engineers. - Technical expertise in API strategy, microservice architecture, and modular design. - Proficiency in 3D Graphics Programming and ML Frameworks. - Knowledge of best practices for platform engineering. - Experience in agile methodologies like Scrum, Kanban, and DevSecOps. If you are a dynamic leader with a passion for technology and innovation, and you possess the necessary qualifications and experience, we invite you to join our team at Kohler Co. where your contributions will make a meaningful impact on creating exceptional customer experiences.,

As a Senior AI Architect at Dailoqa, you will have the opportunity to shape the future of AI within the financial services industry. Dailoqa is a dynamic company at the forefront of combining human expertise with artificial intelligence to address complex challenges in the financial sector. Led by a global team of former CIOs and industry leaders, we are focused on making a high impact with our innovative solutions. To be successful in this role, you should have over 15 years of experience in the tech industry, with a minimum of 8 years specifically in machine learning and data science, and 4-5 years in Generative AI. You should possess a track record of developing scalable AI solutions tailored for enterprise applications. Additionally, you should have deep expertise in GenAI, NLP, Computer Vision, LLMs, and RAG strategies. Proficiency in Python, REST APIs, NoSQL, RDBMS, and cloud platforms such as Azure, OpenAI, Databricks, and Synapse is essential. At Dailoqa, your responsibilities will include collaborating with financial services clients worldwide, designing end-to-end AI solutions that deliver tangible business value, leading agile cross-functional teams, and working in a fast-paced, innovation-driven environment. This role offers the opportunity for rapid growth and the chance to play a significant role in shaping the company's future. We are seeking individuals who are passionate about leadership, mentoring, and innovation. If you thrive in a fast-paced, customer-focused, and mission-driven environment that values simplicity, agility, and impact, Dailoqa could be the perfect fit for you. If you are looking to be part of a team that is committed to building the future of AI and are eager to be fully immersed in a dynamic, forward-thinking organization, we encourage you to apply. Please submit your resume to Arundhati@manasamitr.com to be considered for this exciting opportunity. Join us at Dailoqa and be a part of a team that is dedicated to revolutionizing the financial services industry through the power of artificial intelligence. #AIJobs #GenerativeAI #SeniorAIArchitect #TechJobs #ML #FinTech #Dailoqa #ArtificialIntelligence #Hiring #AILeadership,