37 Predictive Modelling Jobs

The Group Strategic Marketing & Communications team at DBS is dedicated to enhancing the brand's presence in the competitive banking industry. By collaborating closely with various units within the organization, we develop and implement cohesive strategies that emphasize digital communications, marketing, and research to set our brand apart from competitors. As a part of this team, your key responsibilities will include building Machine Learning models and data science solutions using cutting-edge tools like Spark, Sklearn, and Tensorflow. You will be proficient in analytic programming languages such as Python and R, and work with large datasets on distributed Big Data Platforms. Your role will involve creating advanced analytics solutions like recommendation engines, customer segmentation, credit underwriting models, and more. Collaborating with business and product teams, you will define problem statements and develop solution frameworks. From data collection to model deployment and monitoring, you will oversee the end-to-end execution of projects. Conducting A/B test experiments to assess model effectiveness and identifying target segments will be crucial aspects of your work. Additionally, you will drive the testing and deployment of machine learning products into production, demonstrating excellent pattern recognition and predictive modeling skills. In terms of requirements, we are looking for candidates with a strong academic background and 3-12 years of experience in Data Science/Analytics within industries like consumer banking, ecommerce, retail, telecoms, or technology. Proficiency in databases like Teradata, NoSQL, and Hadoop, as well as programming languages such as Python, R, and Spark, is essential. You should have a deep understanding of applying data science and machine learning solutions to various business challenges. Moreover, excellent communication skills are vital, as you will be required to convey complex analysis and models to a diverse team effectively. A degree in Statistics, Analytics, Applied Mathematics, Operation Research, or a related quantitative field is preferred, along with prior experience in AI/ML/DS. Being self-motivated, adaptable, creative, and strategic in your approach will be advantageous in this role. If you are passionate about leveraging data science and machine learning to drive business impact and enhance customer experiences, we welcome you to join our team in Mumbai, India. This is a full-time position with a focus on analytics, and the job posting date is Aug 12, 2025.,

As an experienced AI and Data Scientist Engineer, you will be responsible for designing and implementing data-driven AI solutions that enhance safety, operational efficiency, and compliance within industrial environments. Your role will entail the application of advanced machine learning techniques, data modeling, and analytics to derive actionable insights and foster innovation. Your key responsibilities will include: - Developing and deploying AI algorithms and machine learning models for safety systems, predictive analytics, and process optimization. - Implementing computer vision and NLP solutions for AR/VR applications and industrial safety scenarios. - Collecting, preprocessing, and analyzing large datasets from industrial systems and safety processes. - Building predictive models, recommendation systems, and clustering algorithms to address business challenges. - Integrating AI/ML models into existing software systems, AR/VR platforms, and training simulators. - Creating APIs and tools to ensure accessibility of AI capabilities across various platforms. - Crafting intuitive dashboards and visualizations to effectively communicate data insights to stakeholders. - Generating detailed reports outlining analytical findings and model performance. - Exploring new AI technologies and frameworks to enhance safety and operational efficiency. - Conducting feasibility studies for incorporating emerging AI techniques into industrial solutions. - Collaborating closely with software developers, AR/VR teams, and business stakeholders to align AI solutions with company objectives. To be successful in this role, you should possess: - 3-7 years of experience in AI, data science, or related fields, with a proven track record of deploying machine learning models in production. - Proficiency in programming languages such as Python, R, or Java, along with experience using libraries like TensorFlow, PyTorch, Scikit-learn, or Keras. - Strong knowledge of SQL/NoSQL databases, Hadoop, Spark, or other big data platforms. - Hands-on experience with supervised, unsupervised, deep learning techniques, and reinforcement learning. Join us in leveraging AI and data science to drive innovation and enhance safety within industrial environments. Your expertise and skills will play a pivotal role in optimizing operational processes and ensuring compliance.,

At EY, you'll have the opportunity to craft a career tailored to your unique strengths, supported by a global network, inclusive environment, and cutting-edge technology to help you reach your full potential. Your individual perspective and voice are valued as we strive for continuous improvement at EY. By joining us, you'll not only forge a remarkable path for yourself but also contribute to creating a more effective working world for all. As a Senior Manager - Data Scientist, you will lead the development and integration of advanced analytics, machine learning, and artificial intelligence solutions across diverse platforms such as Azure, Google Cloud, and on-premises environments. Your role involves designing scalable AI/ML models and algorithms to address complex business challenges and derive actionable insights. Additionally, you will spearhead the adoption of General AI applications to align with business goals and foster value creation. Your responsibilities will include applying your deep expertise in machine learning, predictive modeling, and statistical analysis to tackle large, intricate datasets. You will champion the incorporation of AI/ML capabilities into existing data infrastructures and workflows to enhance decision-making processes. Moreover, you will provide thought leadership within your team, staying updated on emerging AI/ML technologies and industry trends to drive innovation. Upholding ethical AI practices and contributing to the development of responsible AI frameworks will also be a key part of your role. To qualify for this position, you should possess over 12 years of experience in data management or related fields, with a focus on AI/ML for at least 5 years. A successful track record in designing and deploying AI/ML projects and General AI use cases is essential. Proficiency in cloud technologies like Azure and Google Cloud, as well as expertise in advanced analytics, machine learning algorithms, and predictive modeling, are required. You should also be skilled in programming languages such as Python, R, or Scala, along with familiarity with libraries/frameworks like TensorFlow, PyTorch, or Keras. A strong background in statistical analysis, algorithm development, and experimental design is crucial. Leadership abilities and the capacity to mentor and guide teams are highly valued. Ideally, you hold a bachelor's or master's degree in computer science, engineering, mathematics, statistics, or a related field with a strong quantitative focus. Join EY in our mission to build a better working world, where we aim to create long-term value for clients, people, and society while fostering trust in the capital markets. Through the utilization of data and technology, our diverse teams in over 150 countries offer assurance, help clients innovate, transform, and operate in a rapidly evolving landscape. Across various domains like assurance, consulting, law, strategy, tax, and transactions, EY teams strive to address complex global challenges by asking insightful questions and providing innovative solutions.,

We are looking for a Data Analyst with over 5 years of experience to join our team at our new office in Infopark, Kochi. As a Data Analyst in our AdTech industry, you will play a crucial role in leveraging your expertise in programming, statistical modeling, and data visualization to extract valuable insights from complex datasets. Your contributions will directly impact our Indian operations" growth and success. Your responsibilities will include collecting, cleaning, and analyzing large datasets using SQL and Python. You will be tasked with building and implementing machine learning models, performing data segmentation, clustering, and predictive modeling to identify trends and business opportunities. Additionally, you will evaluate model performance using statistical and machine learning metrics, develop Power BI dashboards, and collaborate with cross-functional teams to translate data insights into actionable business strategies. To qualify for this role, you should hold a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field. Proficiency in Python (pandas, NumPy, scikit-learn, stats models) and advanced SQL skills are essential for data manipulation and modeling. Experience with supervised and unsupervised learning, segmentation, clustering methods, predictive modeling, and model evaluation metrics is required. Hands-on experience with Power BI for creating dashboards and strong analytical skills are also necessary. Joining our team means working in a fast-paced, data-driven environment with real impact on growth. You will be part of a new chapter in a fast-growing multinational company, enjoying a competitive salary, excellent benefits, and hybrid work options. Located in Infopark, Kochi, surrounded by top IT companies, this opportunity offers a chance to be part of something new and grow with us. If you meet the qualifications and are excited about this opportunity, apply now by sending your resume to careers@firstscreen.com or DM us for more details. Join us on this journey of growth and innovation!,

We are seeking a talented and experienced Senior Data Scientist specializing in handling massive tabular data on Large Language Models (LLMs) to join our clients team Mobilewalla, a global, fast-growing consumer data and technology company headquartered in Atlanta, GA, USA. In this role, you will play a crucial role in leveraging your expertise in tabular data analysis and LLMs to extract insights, build predictive models, and drive data-driven decisions at scale, especially for our Telco Vertical product. Collaborating closely with fellow engineers, you will contribute to the evolution of our platform by developing large-scale systems that process and act on massive amounts of data both in real-time and offline. Responsibilities: Utilize Large Language Models: Harness the power of Large Language Models (LLMs) to analyse massive volumes of tabular data efficiently and effectively. Tabular Data Analysis: Apply advanced statistical techniques and machine learning algorithms to uncover patterns, trends, and anomalies in complex tabular datasets. Predictive Modelling: Develop and deploy predictive models using LLMs to forecast future trends, identify potential risks, and optimize business outcomes based on large-scale tabular data. Data Handling and Pre-processing: Lead efforts in cleaning, pre-processing, and transforming raw tabular data to ensure quality, consistency, and scalability for analysis. Collaborative Problem-Solving: Collaborate closely with cross-functional teams to understand business challenges, formulate data-driven solutions, and drive actionable insights from tabular data. Product Enhancement: Work closely with product managers to identify market trends and customer needs, translating them into actionable data science projects. Provide data-driven recommendations to improve product features, user engagement, and overall customer satisfaction. Communication and Visualization: Effectively communicate findings, insights, and recommendations to non-technical stakeholders through clear visualizations, reports, and presentations. Mentorship and Leadership: Provide guidance, mentorship, and technical leadership to junior data scientists and team members, fostering a culture of learning and innovation. Qualifications: Educational Background: Masters or Ph.D. in Data Science, Statistics, Computer Science, or a related field. Large Language Models (LLMs): Extensive experience working with Large Language Models (LLMs) such as GPT (Generative Pre-trained Transformer) for processing and analysing tabular data at scale. Programming Proficiency: Strong proficiency in programming languages such as Python or R, with expertise in libraries such as PySpark, Pandas, NumPy, scikit-learn, and TensorFlow/PyTorch for data manipulation, analysis, and modelling. Experience: Proven track record of at least 4-5 years in a data science role with a focus on Telco competitive intelligence products. Strong experience in applying machine learning algorithms and statistical modeling in the Telco domain. Technical Skills: Proficiency in programming languages such as Python or R. Hands-on experience with relevant machine learning libraries (e.g., TensorFlow, PyTorch, PySpark) and data manipulation tools. Domain Knowledge: In-depth understanding of Telecommunications industry trends, challenges, and emerging technologies. Familiarity with Telco-specific datasets and data sources. Preferred Qualification: Experience with Location Intelligence, including geospatial analytics, GIS tools, and the application of location-based data in Telco products. Collaboration: Proven ability to collaborate effectively with cross-functional teams, including product management, engineering, and business stakeholders. Communication Skills: Excellent communication skills with the ability to present complex technical findings in a clear and understandable manner. If you are a passionate & innovative problem solver with expertise in Telco products, we invite you to join the team and contribute to the success of our cutting-edge products in the telecommunications space. For Singapore location: Individuals who are Singapore Citizens, Permanent Residents, or Current Employment Pass (EP) holders only will be screened.,

As a Data Scientist I at Bristol Myers Squibb, you will play a crucial role in supporting operational analytics across Global Product & Supply (GPS). Your primary responsibility will be to ensure that products continue to meet the most pressing GPS analytics needs. There will also be potential opportunities for you to build new advanced analytics capabilities such as predictive modeling, simulation, and optimization. Your work will have a direct impact on transforming the lives of patients worldwide and advancing your career in ways you may not have thought possible. You will be expected to conduct analysis and interpretation of complex data sets to derive meaningful insights and recommendations based on an understanding of GPS priorities, critical issues, and value levers. Collaborating with stakeholders will be a key aspect of your role to identify business problems, goals, and key performance indicators (KPIs) to design, establish, and maintain data pipelines, models, and business-facing reports and dashboards. Proactively working with IT teams to develop and enhance data infrastructure, data pipelines, and analytical tools will also be part of your responsibilities. Additionally, you will prepare reports, dashboards, and presentations to communicate analyses to stakeholders at various levels of the organization. It is essential to follow technical best practices in building, maintaining, and enhancing analytics output with scalable solutions, including code version control, pipeline management, deployment, and documentation. Your work hours will provide sufficient overlap with standard east coast US working hours. To excel in this role, you should have experience in developing predictive and prescriptive machine learning/artificial intelligence models for classification, regression, and time-series problems. Familiarity with MLOps principles and tools such as MLflow, Kubeflow, or similar platforms is a plus. A solid understanding of digital analytics tools, platforms, and version control is crucial. Strong communication skills are necessary to present complex information to non-technical stakeholders in a clear and understandable manner. Ideally, you should hold a Bachelor's or Master's degree in an analytical, engineering, operations research, or scientific discipline. Previous experience of 0-3 years in a data and analytics role, including direct development experience, will be advantageous. Proficiency in working with large datasets, data visualization tools, statistical software packages, and platforms such as Python, advanced SQL, AWS, GitHub, and Tableau is preferred. Experience in the GPS/biopharma industry will be considered a plus. At Bristol Myers Squibb, we encourage you to apply for roles that intrigue you, even if they do not perfectly align with your resume. You could be one step away from work that will transform both your life and career. Join us in our mission of transforming patients" lives through science and be part of a supportive culture that values passion, innovation, urgency, accountability, inclusion, and integrity. Bristol Myers Squibb is dedicated to ensuring equal employment opportunities and supporting individuals with disabilities through transparent recruitment processes and workplace accommodations. We strongly recommend that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters to prioritize the well-being of our staff, customers, patients, and communities. If you are enthusiastic about leveraging your analytical skills to make a meaningful impact in the biopharmaceutical industry, this Data Scientist I role at Bristol Myers Squibb is the perfect opportunity for you. Apply now and take your career to new heights with us.,

As a highly skilled Senior Data Analyst in Supply Chain, you will play a crucial role in providing real-time insights to the COO and functional heads in procurement, logistics, distribution, and supply chain operations. Your strong background in statistics, probability, and deep experience in supply chain operations in India will be invaluable in improving processes and driving data-driven decisions. Your key responsibilities will include: - **Data Collection & Analysis**: Gather, clean, and analyze supply chain data from various sources to support operational decisions. Identify trends, patterns, and insights to enhance procurement, logistics, and inventory management. Develop real-time dashboards for senior management. - **Predictive Modelling & Forecasting**: Utilize statistical and probabilistic methods to forecast supply chain trends. Implement AI-driven models for advanced data analysis and refine models based on real-time data. - **Data Reporting & Visualization**: Create detailed reports and visualizations for key metrics. Automate data reporting to provide accurate insights to leadership. Present data-driven recommendations for supply chain efficiency. - **Cross-Functional Collaboration**: Collaborate with procurement, logistics, and operations teams to drive data-driven decisions. Support process improvements through data insights in meetings. - **Technology Implementation**: Leverage digital tools and AI models to enhance supply chain visibility and performance. Collaborate with IT teams for tool integration and maintenance. - **Continuous Improvement**: Identify opportunities for enhancing data analytics capabilities. Stay updated with AI and supply chain technology advancements. Qualifications: - Bachelor's degree in Statistics, Data Science, Supply Chain Management, or related field; Master's preferred. - 5+ years of experience in data analysis with a focus on supply chain operations in India. - Expertise in Excel, data modeling, and statistical analysis. Familiarity with geospatial data and Indian supply chain processes. Preferred Qualifications: - Proficiency in Python and Power BI for data analysis and visualization. - Experience in SAP systems and geospatial data analysis. - Knowledge of AI models for predictive analytics. If you are a detail-oriented individual with a passion for data analytics and supply chain operations, we encourage you to apply for this exciting opportunity to make a significant impact in our organization.,

As an expert in all aspects of data management and analysis, you will be responsible for converting data into meaningful insights to enable strategic decision-making. Your role will involve leading the end-to-end business intelligence lifecycle, which includes gathering business requirements, data provisioning, modeling, reporting, and insight generation. Key responsibilities include leading data collection, validation, transformation, and analysis from multiple sources, translating complex business problems into data models, sourcing and organizing data using advanced tools, designing custom reference data to support analytical use cases, developing scalable dashboards and reports, applying statistical analysis and predictive modeling techniques, cleaning and transforming raw data, delivering scheduled and ad hoc reports, analyzing campaign performance and user behavior, handling large datasets, and guiding junior analysts. To qualify for this role, you should have a minimum of 5 years of experience in data analysis, reporting, and visualization, strong skills in end-to-end BI development, advanced proficiency in MS Excel, SQL, and data querying, hands-on experience with BI tools like Power BI and Tableau, familiarity with scripting languages like Python or R, numerical aptitude, analytical thinking, attention to detail, effective communication skills, problem-solving abilities, proactive mindset, ownership mentality, and experience in mentoring junior team members.,

As a Credit Risk & Data Science Intern at our company, you will play a crucial role in supporting the team by participating in the development of data models, conducting advanced analytics, and providing insights that contribute to the shaping of our credit policies and portfolio management. Working alongside a team that values curiosity, precision, and purpose, you will have the opportunity to engage with real-world datasets and cutting-edge tools. In this role, your responsibilities will include assisting in the development and validation of credit scoring models, extracting, transforming, and analyzing large datasets using SQL, Python, or R, contributing to predictive modeling, segmentation, and machine learning initiatives, as well as assisting in building dashboards and performance reports. Additionally, you will collaborate with various teams such as risk, finance, and technology on data-driven projects. To excel in this position, we are looking for individuals who possess a completed Numerate degree (BSc, BCom, Bus Sci, BEng), proficiency in programming/data tools like Python, SQL, R, or similar, strong analytical thinking and problem-solving skills, an understanding of statistics, modeling, and data structures, as well as South African citizenship or permanent residency. Attention to detail and a proactive attitude towards learning in a high-impact environment are also essential qualities we seek in potential candidates. Furthermore, we value behaviors such as customer-centricity, accountability, curiosity, creativity, teamwork, inclusivity, and timeliness. By embodying these behaviors, you will not only contribute to the success of our organization but also foster a positive and collaborative work culture. This position is categorized as a Student/Graduate role with a contract type and a market-related salary. The duration of the internship is expected to be 9 to 12 months, and it is an Employment Equity (EE) position based in the Southern Suburbs (Cape). If you are looking for an opportunity to apply your skills in a dynamic and fast-paced environment while making a meaningful impact, we encourage you to consider joining our team as a Credit Risk & Data Science Intern.,

The Apex Group is a leading fund administration and middle office solutions provider that was established in Bermuda in 2003. With a global reach and local service capabilities, we are dedicated to delivering exceptional services to our clients. Our team of over 13,000 employees across 112 offices worldwide is committed to driving growth and innovation. At Apex Group, we value your energy and passion, and we are here to empower and support you in your career journey. As a Lead Data Analyst at Apex Group, you will be responsible for spearheading our data analytics initiatives and providing technical expertise to the team. Your role will involve shaping data analytics products, designing analytical frameworks, and driving innovation in data analysis methodologies. Working closely with senior leadership, cross-functional teams, and stakeholders, you will play a key role in identifying business opportunities, offering strategic insights, and guiding data-driven initiatives. **Responsibilities:** - Develop and implement data analytics strategies aligned with organizational goals. - Identify data-driven opportunities to optimize business performance and achieve strategic objectives. - Collaborate with senior leaders to define analytical requirements and establish key performance indicators. - Design and implement advanced analytical models and algorithms to extract insights from complex data sets. - Provide thought leadership in data analysis, statistical modeling, and machine learning techniques. - Maintain data governance frameworks and data quality standards to ensure accuracy of data assets. - Lead cross-functional teams in designing data visualizations, dashboards, and reports. - Stay updated with emerging trends and technologies in data analytics. - Mentor junior analysts and support their professional growth. - Collaborate with data engineering teams to ensure efficient data collection and integration. - Present complex findings and recommendations to senior leaders in a clear and compelling manner. - Promote a data-driven culture within the organization. **Requirements:** - Bachelor's degree in a quantitative field; Master's or Ph.D. preferred. - 10 years of experience as a Data Analyst, with significant experience in a senior role. - Proficiency in SQL and programming skills in Python/R. - Knowledge of statistical analysis techniques and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Strong understanding of database structures and data governance principles. - Exceptional analytical, problem-solving, and leadership skills. - Excellent communication and presentation abilities. - Ability to work independently and manage multiple projects effectively. **Preferred Qualifications:** - Experience in cloud platforms and big data technologies. - Familiarity with data science platforms and libraries. - Business acumen and experience in leading cross-functional teams. Location: Bangalore - North, India,

As a Decision Science Specialist within the Accenture Strategy & Consulting Global Network Data & AI team, specializing in the Insurance practice, you will play a crucial role in helping our clients revolutionize their business operations. From conceptualization to implementation, you will collaborate with Property & Casualty insurers, Life & Retirement insurers, reinsurers, and brokers throughout the value chain. Your primary focus will be on enhancing analytic capabilities, ranging from data access and reporting to predictive modeling and Generative AI, to ensure that our clients stay ahead of the competition. The Accenture Global Network is a dynamic environment that seamlessly integrates Strategy & Consulting with Data and Artificial Intelligence, driving innovation and growth. You will have the opportunity to be part of a diverse and global community that continuously pushes the boundaries of business capabilities. Accenture's commitment to individual development and growth is unwavering, providing you with a supportive environment for learning and advancement. In this role, your responsibilities will include collaborating with the team to design, develop, deploy, and monitor advanced analytics models, leveraging cutting-edge technologies such as Generative AI. You will be instrumental in building functional aspects of Generative AI pipelines, optimizing system performance, and ensuring seamless data retrieval and storage. Additionally, you will engage with clients and account teams to identify engineering and business challenges, translating them into actionable analytics problems that drive operational enhancements and strategic insights. Your ability to synthesize data from diverse sources and present actionable insights in a clear and concise manner will be pivotal in facilitating informed decision-making for both technical and non-technical stakeholders. By harnessing your expertise in AI/ML tools and techniques, coupled with strong domain knowledge in the insurance sector, you will contribute significantly to delivering exceptional value to our clients. Join us on this exciting journey at Accenture, where you will be at the forefront of driving innovation, shaping the future of business, and making a tangible impact on our clients" success.,

Are you ready to disrupt an industry and change lives As an Associate at GCC's Sampling Allocation Service in AstraZeneca, you will be responsible for developing and implementing analytical programs to optimize sampling distributions for branded products. This role is a blend of managerial and hands-on tasks, involving proactive collaboration with brand team members and overseeing the internal GCC Sampling team to ensure deliverables meet specific requirements. Your role will require working closely with brand teams to comprehend rules, requirements, and sampling strategies, utilizing your expertise across various commercial datasets to ensure accurate implementation. Your contributions will play a vital role in the sample ordering and distribution system, directly influencing the development of life-changing medicines. Location: Bangalore Experience: 3-6 years Notice period: Maximum 2 months (strictly) **Essential Skills/Experience:** - A quantitative Bachelor's degree from an accredited institution in fields like Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science, or Data Science is mandatory. An advanced degree (Masters, MBA, or PhD) is preferred. - Minimum of 2 years of experience in Pharmaceutical/Biotech/Healthcare analytics or secondary data analysis. - At least 3 years of experience in applying advanced methods and statistical procedures on large and disparate datasets, with expertise in areas such as Data Mining, Predictive Modeling algorithms, Optimisation & Simulation. - Proficiency and recent experience (2+ years) in Python, R, SQL, and big data technologies. - Working knowledge of data visualization tools like PowerBI, VBA, or similar platforms. - Proficiency in MS Office products, including PowerApps, Excel, and PowerPoint. - Ability to manipulate and extract insights from extensive longitudinal data sources like Claims, EMR, and other patient-level datasets. - Expertise in managing and analyzing various large, secondary transactional databases. - Background in statistical analysis and modeling, with Machine Learning knowledge as a plus. - Familiarity with IQVIA datasets and sales-related data sets like targeting and alignment, HCP eligibility, and call data. - Experience in data visualization methods and tools for effective communication of insights derived from analyses. - Strong organization and time management skills. **Desirable Skills/Experience:** - Strong leadership and interpersonal skills, with a proven ability to collaborate effectively with business leaders and cross-functional partners. - Excellent communication and influencing abilities, capable of presenting concise and compelling reviews of independently developed analyses along with actionable insights to stakeholders. - Strategic and critical thinking skills, with the capability to engage, build credibility, and maintain relationships with the Commercial Leadership Team. - Exceptional organizational skills and time management, adept at handling multiple projects simultaneously.,

As a Decision Science Specialist with Accenture Strategy & Consulting, Global Network Data & AI Practice focusing on Insurance, you will play a crucial role in helping clients transform their businesses through advanced analytics models, including Generative AI. You will collaborate with the team to architect, design, build, deploy, deliver, and monitor these models to address various client challenges effectively. Your responsibilities will include developing the functional aspects of Generative AI pipelines, implementing information retrieval and storage techniques, and optimizing systems across cloud platforms like Azure or AWS. You will engage with clients and account teams to comprehend engineering and business issues, translating them into analytics problems that provide actionable insights and operational enhancements. Furthermore, you will be tasked with extracting data from multiple sources and presenting relevant information in a clear and concise manner. Your ability to deliver valuable insights to both technical and non-technical audiences will be instrumental in driving business impact and fostering strategic decision-making. Joining Accenture's Global Network offers you the opportunity to be part of a dynamic and diverse community that continuously pushes the boundaries of business capabilities. With a focus on learning and growth, Accenture is committed to providing a stimulating work environment where you can thrive professionally. Additionally, being ranked 10th on the 2023 World's Best Workplaces list underscores Accenture's reputation as an excellent employer, making it an ideal place for you to advance your career.,

Be part of the future HR transformation at the dynamic intersection of people strategy, technology, and data-driven insights! We're seeking a leader to modernize and optimize our HR digital landscape across our global operations. This is your opportunity to architect extraordinary employee experiences, drive enterprise-wide innovation, and deliver measurable business value through strategic HR digital solutions and advanced analytics. As the Head of HR Digital Enablement & Analytics, you'll develop comprehensive strategies that support our HR solution vision while leading our talented People Analytics team. You'll serve as a key strategic partner to the HR Executive Team, deeply understanding our global HR organization's needs and collaborating with Group Digital & Technology to transform these insights into innovative digital solutions that enhance efficiency, effectiveness, and employee experience across the organization. Collaborate with HR teams, Group Digital & Technology, and key stakeholders to define and champion long-term HR process, employee experience, and solution strategies that enable Swiss Re's business objectives. Lead the People Analytics team in developing comprehensive analytics strategies, building predictive models, and creating advanced reporting capabilities that drive organizational insights and strategic decision-making. Drive partnerships between HR COEs and Group Digital and Technology to optimize HR processes through service design and strategic technology implementation, identifying emerging HR technologies that enhance employee experience. Understand HR needs and spearhead digital transformation initiatives across the HR function with significant business impact, working with users to evaluate service efficacy and recommend improvements. Partner with Group Digital & Technology to facilitate a portfolio of transformation initiatives, ensuring value-driven investment decisions and developing metrics to gauge HR process effectiveness. Collaborate with technical teams to create frameworks ensuring data integrity, accessibility, and compliance across HR systems while mitigating risks associated with HR processes. Cultivate relationships with key external partners to influence roadmaps and integrate innovative solutions into HR processes. You and your team will be part of the HR Operational Excellence function, a global, cross-functional group dedicated to enhancing the performance, efficiency, and impact of HR services across the organization. The HR Digital and Analytics team that you will lead plays a central role in enabling strategic HR transformation. The team drives continuous improvement across HR services, processes, and systems, and promotes data-driven decision-making by fostering learning through innovative programs like #iLearn and facilitating global collaboration through community dashboards. You're an experienced leader who thrives at the intersection of people strategy, HR service design, digital innovation, and workforce analytics. Your consultative approach allows you to translate complex business challenges into transformative digital solutions. You possess exceptional influencing skills that enable you to navigate organizational complexity and build consensus among diverse stakeholders. Your forward-thinking strategic mindset is balanced by pragmatic execution capabilities and a genuine passion for creating technology and data solutions that enhance workplace experiences. University degree and/or equivalent professional qualification in a related field. Minimum 10 years of significant track record in similar role(s) acquiring relevant skills in HR transformation, service design, technology-enabled transformation, and data analytics. Deep knowledge and experience in global HR business processes, including strategy development, service delivery, human capital management technologies, with the ability to translate business needs into technology requirements. Advanced expertise in people analytics, data visualization, statistical analysis, and predictive modeling for workforce insights, with experience leading HR data analytics teams and building capabilities within HR functions. Experience working with enterprise HRIS platforms (Workday, SAP SuccessFactors, Oracle HCM). Proficiency with data analytics tools and languages (Power BI, Tableau, R, Python, SQL). Demonstrated ability to influence, collaborate, and manage change with key stakeholders across global, matrix organizations. Knowledge of emerging technologies including GenAI and their application to HR. Executive education in digital transformation or advanced HR technology certifications (HRIP, SHRM-SCP). Strategic vendor management experience. Our company has a hybrid work model where the expectation is that you will be in the office three days per week. This role is not eligible for either relocation assistance or visa sponsorship. Swiss Re is one of the world's leading providers of reinsurance, insurance, and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.,

The ideal candidate's favourite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the correct answers. Responsibilities Analyze raw data: assessing quality, cleansing, and structuring for downstream processing. Design accurate and scalable prediction algorithms. Molecular Docking and Simulation. Integrating Biological Data. Computational Biology related works. Qualifications Bachelor's degree or equivalent experience in a quantitative field (Bio-informatics, Biotechnology, Statistics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Freshers can also apply.* Deep understanding of predictive modelling, machine learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, R, C, C++, Java, SQL),

As a Director of Machine Learning Engineering within Mastercard's Business & Market Insights (B&MI) group, you will play a crucial role in executing the AI/ML strategy for the Operational Insights Program. Your responsibilities will involve collaborating with internal and external partners to drive business growth, enhance customer experience, and ensure the delivery of secure, scalable, and high-performing software solutions. In this leadership position, you will be responsible for overseeing the design, development, and deployment of machine learning models and systems. Your expertise will be instrumental in providing valuable insights and guidance on technology approach and processes, contributing to strategic vision, and staying updated on the latest advancements in machine learning and AI technologies. Moreover, you will work closely with business partners on product definition, engage in vendor management, ensure regulatory compliance, and drive scalability, security, and performance across all software solutions and platforms. Your role will also involve fostering a culture of innovation, collaboration, and continuous learning within the team, while attracting, hiring, and developing top engineering talent. To excel in this position, you should hold a Masters/Bachelor's degree in computer science or engineering, with a proven track record of successfully leading and managing complex projects/products. Strong analytical and problem-solving abilities, along with hands-on experience in advanced statistical techniques, predictive modeling, and deep learning frameworks are essential. Proficiency in programming languages such as Java/Python/SQL, familiarity with data visualization tools, and cloud computing services will be advantageous. Your ability to communicate effectively, engage with stakeholders at all levels, and lead diverse global teams will be critical. Additionally, your commitment to responsible AI practices and information security will be paramount. If you are a detail-oriented, proactive leader with a passion for driving innovation and delivering excellence, we invite you to join our team and contribute to our mission of empowering organizations through data-driven insights and advanced analytics.,

As a seasoned Data Analyst with over 10 years of experience, you will play a crucial role in the development and implementation of data analytics strategies, frameworks, and methodologies that are in line with the goals and objectives of the organization. Your primary responsibility will be to drive the identification and exploration of data-driven opportunities to optimize business performance, enhance operational efficiency, and achieve strategic objectives. You will collaborate closely with senior leaders and stakeholders to define analytical requirements, establish key performance indicators (KPIs), and develop metrics to measure business performance and progress. Additionally, you will design and implement advanced analytical models and algorithms to extract insights, uncover patterns, and make predictions using large and complex data sets. Your expertise in data analysis, statistical modeling, and machine learning techniques will be instrumental in addressing complex business problems and supporting strategic decision-making. Furthermore, you will be tasked with developing and maintaining data governance frameworks, data quality standards, and data management practices to ensure the accuracy, integrity, and consistency of data assets. In this role, you will lead cross-functional teams in the design and delivery of data visualizations, dashboards, and reports that effectively communicate insights and drive action. It will be essential for you to stay updated with emerging trends, technologies, and best practices in data analytics and provide recommendations for their adoption to enhance analytical capabilities. Mentoring and coaching junior analysts to foster their professional growth and supporting their development of advanced analytical skills will also be part of your responsibilities. You will collaborate closely with data engineering teams to ensure efficient data collection, integration, and preparation for analysis purposes. Presenting complex findings, insights, and recommendations to senior leaders and stakeholders in a clear, concise, and compelling manner will be crucial. Moreover, you will play a key role in fostering a data-driven culture within the organization by promoting the value of data, advocating for data-driven decision-making, and driving data literacy initiatives. Requirements: - Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science. A Master's or Ph.D. degree is strongly preferred. - 10+ years of extensive experience as a Data Analyst, with a significant portion of experience in a senior or lead role. - Proven track record of designing and implementing data analytics strategies and driving successful data-driven initiatives. - Expert proficiency in SQL for data extraction, manipulation, and analysis. - Advanced programming skills in Python/R for statistical analysis, predictive modeling, and machine learning. - In-depth knowledge of statistical analysis techniques, predictive modeling, and advanced machine learning algorithms. - Strong experience with data visualization tools such as Tableau, Power BI, or similar. - Extensive experience with data blending, preprocessing, and automation tools within PowerBi or similar. - Solid understanding of database structures, data warehousing concepts, and data governance principles. - Exceptional analytical and problem-solving skills, with the ability to tackle complex business challenges and provide innovative solutions. - Excellent leadership, strategic thinking, and stakeholder management abilities. - Exceptional communication and presentation skills, with the ability to influence and inspire stakeholders at all levels of the organization. - Proven ability to work independently, manage multiple projects, and prioritize effectively. Preferred Qualifications: - Experience in implementing data analytics solutions in cloud platforms such as AWS, Azure, or Google Cloud. - Knowledge of big data technologies such as Hadoop, Spark, or similar. - Familiarity with data science platforms and libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Strong business acumen and the ability to align data analysis efforts with organizational goals and strategies. - Experience in leading and managing cross-functional teams.,

As a Senior Analyst - Data Analytics, you will leverage your 3+ years of experience in Data Analytics and reporting to design and build interactive dashboards and reports using Power BI and Microsoft Fabric. Your strong technical expertise in Power BI, Microsoft Fabric, Snowflake, SQL, Python, and R will be instrumental in performing advanced data analysis and visualization to support business decision-making. You will utilize your experience with Azure Data Factory, Databricks, Synapse Analytics, and AWS Glue to develop and maintain data pipelines and queries using SQL and Python. Applying data science techniques such as predictive modeling, classification, clustering, and regression, you will solve business problems and uncover actionable insights. Your hands-on experience in building and deploying machine learning models will be crucial in building, validating, and tuning machine learning models using tools such as scikit-learn, TensorFlow, or similar frameworks. Collaborating with stakeholders, you will translate business questions into data science problems and communicate findings in a clear, actionable manner. You will use statistical techniques and hypothesis testing to validate assumptions and support decision-making. Documenting data science workflows and maintaining the reproducibility of experiments and models will ensure the success of analytics projects. Additionally, you will support the Data Analytics Manager in delivering analytics projects and mentoring junior analysts. Professional certifications such as Microsoft Certified: Power BI Data Analyst Associate (PL-300), SnowPro Core Certification (Snowflake), Microsoft Certified: Azure Data Engineer Associate, and AWS Certified: Data Analytics Specialty are preferred or in progress to enhance your expertise in the field.,

You are looking for a Lead AI Engineer with at least 8 years of experience to join UST at Trivandrum. As a Lead AI Engineer, you will be responsible for designing and implementing end-to-end AI/ML solutions using Python and deep learning frameworks like Keras. Your role will involve working with Generative AI and LLM architectures such as GPT-3 and BERT, as well as leading AI/ML teams and mentoring junior engineers. Your key responsibilities will include developing data pipelines and infrastructure using tools like Kafka, Big Data tools, Aurora DB, and ELK Stack. You will also be expected to deploy and optimize ML models on cloud platforms such as AWS, Azure, or GCP. Your expertise in Time Series Forecasting, Predictive Analytics, and Deep Learning will be crucial in translating business requirements into scalable AI solutions. In addition to hands-on experience in AI and Machine Learning, you should have a strong programming background in Python, Keras, and Pandas. Knowledge of advanced ML models like LangChain, GPT-3, and Transformers, as well as analytical models such as Time Series Forecasting, will be highly beneficial. Familiarity with databases like ChromaDB/Pinecone is also desired. Experience with PoC creation, model experimentation, and AI governance principles will be an advantage. You should also keep abreast of emerging trends and tools in the AI/ML space to evaluate their strategic fit and contribute to AI roadmap planning. UST is a global digital transformation solutions provider known for partnering with leading companies to drive real impact through innovation. With a workforce of over 30,000 employees in 30 countries, UST is committed to embedding innovation and agility into its clients" organizations, touching billions of lives in the process.,

1. Job Purpose The Senior Data Analytics Analyst will play a key role in delivering hands-on analytics solutions across the UK and Ireland. This role focuses on bespoke report building, dashboard development, and advanced data analysis using technologies such as Power BI, Microsoft Fabric, Snowflake, Azure, AWS, Python, SQL, and R. Experience in data science is highly advantageous, including the application of machine learning and predictive modelling to solve business problems 2. Accountabilities & Activities • Design and build interactive dashboards and reports using Power BI and Microsoft Fabric. • Perform advanced data analysis and visualisation to support business decision-making. • Develop and maintain data pipelines and queries using SQL and Python. • Apply data science techniques such as predictive modelling, classification, clustering, and regression to solve business problems and uncover actionable insights. • Perform feature engineering and data preprocessing to prepare datasets for machine learning workflows. • Build, validate, and tune machine learning models using tools such as scikit-learn, TensorFlow, or similar frameworks. • Deploy models into production environments and monitor their performance over time, ensuring they deliver consistent value. • Collaborate with stakeholders to translate business questions into data science problems and communicate findings in a clear, actionable manner. • Use statistical techniques and hypothesis testing to validate assumptions and support decision-making. • Document data science workflows and maintain reproducibility of experiments and models. • Support the Data Analytics Manager in delivering analytics projects and mentoring junior analysts. • Design and build interactive dashboards and reports using Power BI and Microsoft Fabric. 3. Qualifications, Knowledge & Experience • Professional Certifications (preferred or in progress): - Microsoft Certified: Power BI Data Analyst Associate (PL-300) - SnowPro Core Certification (Snowflake) - Microsoft Certified: Azure Data Engineer Associate - AWS Certified: Data Analytics Specialty • Strong technical expertise in Power BI, Microsoft Fabric, Snowflake, SQL, Python, and R. • Experience with Azure Data Factory, Databricks, Synapse Analytics, and AWS Glue. • Hands-on experience in building and deploying machine learning models. • Ability to translate complex data into actionable insights. • Excellent problem-solving and communication skills. 4. Judgement Skills Balances team development with delivery priorities and business needs. Makes informed decisions on technical design, resource allocation, and delivery timelines. Evaluates project outcomes and identifies opportunities for team and process improvement. Encourages experimentation while maintaining delivery discipline and governance. 5. Freedom Of Action Acts as a key liaison between technical teams and business stakeholders. 6. Dimensions Financial: Supports budgeting and cost optimisation for analytics projects. Contributes to revenue growth through data-driven client solutions. Non-Financial: Drives adoption of modern analytics tools and practices. Builds strong relationships across business units and with external clients. 7. Environment Build strong relationships and influence key decision makers. Able to work under pressure and adapt to chang

Exp in SAS, SQL and large amounts of data US Stakeholder exp Exp of acquisition/account management credit risk models, transactional fraud models, marketing models, collections models, finance models, loss models, Loss forecasting (PD/LGD/EAD/CECL) Required Candidate profile SAS SQL Python Credit risk Credit Card Statistical Modelling Predictive Modelling

We are seeking a talented and experienced Senior Data Scientist specializing in handling massive tabular data on Large Language Models (LLMs) to join our clients team Mobilewalla, a global, fast-growing consumer data and technology company headquartered in Atlanta, GA, USA. You will play a crucial role in leveraging your expertise in tabular data analysis and LLMs to extract insights, build predictive models, and drive data-driven decisions at scale, especially for our Telco Vertical product. Collaborating closely with fellow engineers, you will contribute to the evolution of our platform by developing large-scale systems that process and act on massive amounts of data both in real-time and offline. Responsibilities: Utilize Large Language Models: Harness the power of Large Language Models (LLMs) to analyze massive volumes of tabular data efficiently and effectively. Tabular Data Analysis: Apply advanced statistical techniques and machine learning algorithms to uncover patterns, trends, and anomalies in complex tabular datasets. Predictive Modelling: Develop and deploy predictive models using LLMs to forecast future trends, identify potential risks, and optimize business outcomes based on large-scale tabular data. Data Handling and Pre-processing: Lead efforts in cleaning, pre-processing, and transforming raw tabular data to ensure quality, consistency, and scalability for analysis. Collaborative Problem-Solving: Collaborate closely with cross-functional teams to understand business challenges, formulate data-driven solutions, and drive actionable insights from tabular data. Product Enhancement: - Work closely with product managers to identify market trends and customer needs, translating them into actionable data science projects. - Provide data-driven recommendations to improve product features, user engagement, and overall customer satisfaction. Communication and Visualization: Effectively communicate findings, insights, and recommendations to non-technical stakeholders through clear visualizations, reports, and presentations. Mentorship and Leadership: Provide guidance, mentorship, and technical leadership to junior data scientists and team members, fostering a culture of learning and innovation. Qualifications: Educational Background: - Masters or Ph.D. in Data Science, Statistics, Computer Science, or a related field. Large Language Models (LLMs): Extensive experience working with Large Language Models (LLMs) such as GPT (Generative Pre-trained Transformer) for processing and analyzing tabular data at scale. Programming Proficiency: Strong proficiency in programming languages such as Python or R, with expertise in libraries such as PySpark, Pandas, NumPy, scikit-learn, and TensorFlow/PyTorch for data manipulation, analysis, and modeling. Experience: - Proven track record of at least 4-5 years in a data science role with a focus on Telco competitive intelligence products. - Strong experience in applying machine learning algorithms and statistical modeling in the Telco domain. Technical Skills: - Proficiency in programming languages such as Python or R. - Hands-on experience with relevant machine learning libraries (e.g., TensorFlow, PyTorch, PySpark) and data manipulation tools. Domain Knowledge: - In-depth understanding of Telecommunications industry trends, challenges, and emerging technologies. - Familiarity with Telco-specific datasets and data sources. Preferred Qualification: - Experience with Location Intelligence, including geospatial analytics, GIS tools, and the application of location-based data in Telco products. Collaboration: - Proven ability to collaborate effectively with cross-functional teams, including product management, engineering, and business stakeholders. Communication Skills: - Excellent communication skills with the ability to present complex technical findings in a clear and understandable manner. If you are a passionate & innovative problem solver with expertise in Telco products, we invite you to join the team and contribute to the success of our cutting-edge products in the telecommunications space.,

As a Healthcare Technology Organization dedicated to simplifying, accelerating, and optimizing care delivery for healthcare enterprises, AVIZVA has been a strategic enabler in the industry since 2011. With a proven track record of over 13 years, we have designed and delivered more than 150 customized products for prominent Medical Health Plans, Dental and Vision Plan Providers, PBMs, Medicare Plan Providers, TPAs, and other healthcare entities. In your role as an Associate Manager - Applied Machine Learning at AVIZVA, you will be at the forefront of architecting, designing, and developing advanced GenAI products and services. Your responsibilities will include leveraging your technical expertise in machine learning to lead a team effectively and contribute to the development of Large Language Model (LLM) based products. By combining GenAI and traditional ML approaches, you will play a crucial role in meeting key product requirements. Collaboration is key in this role, as you will work closely with cross-functional teams, including product managers and business leaders, to deliver scalable machine-learning solutions that align with business objectives. **Job Responsibilities:** - Lead the team by setting clear goals, priorities, and performance expectations that align with business objectives. - Architect and oversee the lifecycle of LLM based GenAI projects, ensuring timely delivery in line with business needs. - Take ownership of technical and operational challenges, providing solutions to keep projects on track. - Collaborate with infrastructure and engineering teams to seamlessly deploy and integrate models into production environments. - Foster a culture of continuous improvement through agile practices and regular retrospectives. - Stay updated on emerging machine learning technologies and prototype new algorithms to tackle complex challenges. - Motivate the team to deliver high-quality results on time while maintaining a collaborative work environment. **Skills & Qualifications:** - Bachelor's or Master's degree in Computer Science or a related analytical field. - Minimum of 1 year of experience in Gen AI, Agentic AI, and Large Language Models. - Hands-on experience in building RAG pipelines and utilizing NLP, NLG, Text Analytics, and Transformer-based models. - 10+ years of experience as an Applied Machine Learning Engineer or Data Scientist, with expertise in Python. - Strong knowledge of system design, architecture, design principles, and Core Python. - Proficiency in ensemble models, classification, clustering algorithms, and Object-Oriented Programming. - Experience with ORM tools, RESTful services, debugging, testing frameworks, and web development. - Familiarity with Agile methodology, excellent communication, and problem-solving skills. Join AVIZVA to be a part of a dynamic team that is dedicated to transforming healthcare delivery through innovative technology solutions.,

As a DevOps Engineer for AI products at Linde, you will play a crucial role in the Artificial Intelligence team within Linde's global corporate division. You will collaborate with a diverse international team consisting of Project Managers, Data Scientists, Data and Software Engineers, and other professionals. Your responsibilities will include designing, implementing, and managing robust CI/CD pipelines to support the deployment of AI and data-driven applications globally. You will be tasked with administering and monitoring cloud-based infrastructure to ensure high availability, security, and cost-efficiency of AI product deployments. Additionally, your role will involve developing and maintaining containerized environments using Docker, orchestrating deployment strategies, and establishing infrastructure monitoring and logging solutions for AI platforms in production. It is essential that all DevOps practices adhere to Linde's security guidelines and industry best practices. To succeed in this role, you should have a Bachelor's degree or equivalent experience in a related field such as Statistics, Mathematics, Computer Science, or Engineering. You must possess a good understanding of modern web applications, cloud platforms (Azure, AWS, GCP), Docker, CI/CD pipelines, and database deployments. Experience with automation tools like Azure DevOps and Github Actions is required, along with strong communication skills in English. Linde is a renowned global industrial gases and engineering company operating in over 100 countries. By joining Linde, you will have the opportunity to work on cutting-edge projects that make the world more productive while contributing to sustainability and environmental protection. If you are looking for a career where your work transcends boundaries and positively impacts the world, Linde offers limitless opportunities for growth and development. If you are inspired to be part of a dynamic team that values innovation and excellence, we encourage you to submit your complete application (motivation letter, CV, certificates) through our online job market. At Linde, we are committed to fostering a diverse and inclusive workplace where individuals of all genders can thrive and succeed. Join us at Linde and unleash your potential to make a meaningful difference in the world.,

The Data Science team at Meesho plays a crucial role in devising creative solutions and building intelligent systems for millions of users across a wide range of product categories. As a Principal Data Scientist in the AdTech team, you will lead innovation in the advertising platform by leveraging advanced machine learning and statistical methods. Your responsibilities will include developing algorithms to optimize ad spend and ROI, designing frameworks to measure ad effectiveness, collaborating with cross-functional teams to implement AI/ML solutions, and providing strategic insights to tech and business leadership. Key Responsibilities: - Design and develop sophisticated algorithms for bidding and budget optimization. - Create frameworks for measuring ad effectiveness and ROI. - Collaborate with product and engineering teams to implement AI/ML solutions. - Communicate insights and recommendations to tech and business leadership. - Mentor junior data scientists and provide technical guidance. - Lead research initiatives in machine learning, auction theory, and advertising technology. Requirements: - B.Tech in Computer Science, Machine Learning, or a related field with a minimum of 6 years of experience in AI/ML research. - Proficiency in PyTorch or TensorFlow, and expertise in Python and big data technologies. - Experience in auction theory, predictive modeling, causal inference, and reinforcement learning. - Strong communication skills to convey complex concepts to technical and non-technical audiences. - Prior experience in mentoring junior data scientists and managing multiple problem statements. Preferred Qualifications: - M.Tech or Ph.D. in Computer Science with a specialization in Machine Learning. - 3+ years of experience applying machine learning in AdTech or related domains. - Exposure to real-time bidding systems, programmatic advertising, or ad exchanges. - Track record of successful research-to-product transitions. - Strong publication record in top AI conferences (e.g., NeurIPS, ICML, ICLR, KDD, CVPR, AAAI).,