3308 Data Scientist Jobs - Page 12

As an AI Incubator Data Scientist at Barclays, you will embark on a transformative journey spearheading the evolution of the digital landscape, driving innovation and excellence. Your primary responsibility will be to harness cutting-edge technology to revolutionize digital offerings, ensuring unparalleled customer experiences. In this role, you will join the Data Science team within the AI incubator at Barclays, dedicated to driving commercial value from data across the Corporate Bank. You will have the opportunity to shape and lead projects, collaborating with team members to leverage machine learning techniques and AI for extracting valuable insights and creating tangible business impact. Embracing a design-led thinking approach, you will work closely with business stakeholders and adopt a fail-fast mindset. This position offers the chance to work with extensive datasets spanning billions of rows and apply state-of-the-art AI techniques to unlock millions in business value. To excel as an AI Incubator Data Scientist, you should possess a Bachelor's or Master's degree in data science or equivalent commercial experience. You must have experience working with senior stakeholders across the data science life cycle, from idea inception to delivery in a production environment. Your ability to translate technical work into business terms and effectively communicate value to stakeholders is essential. Commercial experience in applying machine learning techniques, such as clustering, classification, regression, and NLP, to generate business value is crucial. Proficiency in writing production-standard code with a strong understanding of key coding principles, particularly in Python and SQL, is a must. Familiarity with AWS data science and AI services, including SageMaker and Bedrock, is desired. Additionally, knowledge of GenAI, LLMs, the RAG framework, data visualization software like Tableau, and code management methodologies is beneficial. Furthermore, experience in front-end development frameworks like Angular/React Flask/Streamlit, MVC architecture, Agentic AI, and working in a big data environment using PySpark are highly valued skills that can enhance your role as an AI Incubator Data Scientist. Your role will be based in Pune and aims to utilize innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves. These insights will inform strategic decision-making, enhance operational efficiency, and drive innovation across the organization. Key responsibilities include identifying, collecting, and extracting data from various sources, performing data cleaning and transformation, developing efficient data pipelines, and designing statistical and machine learning models. You will collaborate with business stakeholders to identify opportunities to add value through Data Science and contribute to forecasting future outcomes and identifying risks and opportunities. As an Analyst, you are expected to perform activities in a timely and high-standard manner, demonstrating in-depth technical knowledge and experience in your assigned area of expertise. You will lead and supervise a team, guide professional development, allocate work requirements, and coordinate team resources. Your role may involve leadership responsibilities, requiring you to demonstrate leadership behaviors that create an environment for colleagues to thrive and deliver excellent work consistently. Barclays values of Respect, Integrity, Service, Excellence, and Stewardship, along with the Barclays Mindset to Empower, Challenge, and Drive are integral to how you are expected to conduct yourself in this role, adhering to relevant rules, regulations, and codes of conduct.,

Job Description: We are seeking a skilled and innovative Data Scientist with over 3 years of experience to join our team. In this role, you will work on deriving actionable insights from complex datasets, building predictive models, and collaborating with cross-functional teams to solve real-world problems. Your contributions will directly impact strategic decision-making and drive business success. Key Responsibilities: Analyze large datasets to identify trends, patterns, and actionable insights to support business objectives. Build, train, and deploy machine learning models to solve problems in areas like prediction, classification, and optimization. Collaborate with business stakeholders to define key performance indicators (KPIs) and translate business challenges into analytical projects. Conduct exploratory data analysis (EDA) to understand data structures and quality issues. Design and implement data pipelines for preprocessing, feature engineering, and automation. Develop interactive dashboards and visualizations to communicate findings effectively to technical and non-technical audiences. Perform A/B testing and statistical analysis to validate hypotheses and measure the impact of initiatives. Ensure the scalability, reliability, and security of data science solutions in production. Stay updated with the latest trends and best practices in data science, machine learning, and AI technologies. Document methodologies, processes, and results to ensure knowledge sharing and reproducibility. Requirements: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 4+ years of experience in a data science role. Proficiency in programming languages such as Python, R, or SQL. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong analytical and problem-solving skills with expertise in statistical analysis. Knowledge of data visualization tools (e.g., Tableau, Power BI, Matplotlib). Familiarity with cloud platforms like AWS, GCP, or Azure is a plus. Experience with big data tools and technologies (e.g., Hadoop, Spark) is an advantage. Excellent communication skills and the ability to explain technical concepts to non-technical stakeholders. Why Join Us Build with Purpose: Work on impactful, high-scale products that solve real problems using cutting-edge technologies. Tech-First Culture: Join a team where engineering is at the core — we prioritize clean code, scalability, automation, and continuous learning. Freedom to Innovate: You’ll have ownership from day one — with room to experiment, influence architecture, and bring your ideas to life. Collaborate with the Best: Work alongside passionate engineers, product thinkers, and designers who value clarity, speed, and technical excellence. Paladin Tech is an equal opportunity employer. We are committed to creating an inclusive and diverse workplace and welcome candidates of all backgrounds and identities. Job Types: Full-time, Permanent Work Location: In person

About Us At Versa Networks, we're revolutionizing the way businesses connect, secure, and optimize their networks. Our mission is to secure anywhere, anytime access to anything. As a leader in Secure SD-WAN, SSE (Secure Service Edge), SASE (Secure Access Service Edge) and Next-generation Managed Services, we are empowering organizations across the globe to transform their IT infrastructure for the modern cloud era. Our innovative products enable enterprises to deliver a seamless, scalable, and secure digital experience, no matter where their users, devices, or applications are located. Founded by industry veterans and backed by premier venture capital firms, Versa is a market leader driving innovation and growth as it positions itself for a future IPO. We believe in fostering a culture of innovation, collaboration, and customer success. Our team is comprised of passionate, forward-thinking professionals dedicated to driving the future of networking technology. We encourage creativity, offer opportunities for growth, and provide a dynamic environment where our people can thrive and make an impact. At Versa Networks, we don’t just build products – we build relationships, elevate businesses, and shape the digital future. Join us and be part of a fast-paced, cutting-edge company that's making a real difference in how the world connects and communicates. Job Summary We are seeking a talented and motivated Data Scientist to join our Machine Learning team. In this role, you will contribute to a wide range of data-driven projects, from exploratory data analysis to building and deploying machine learning models for a variety of Networking, Security and Language use-cases. You will work closely with cross-functional teams to uncover insights, solve complex problems, and drive data-informed decision-making. Responsibilities Data Analysis and Visualization: Conduct exploratory data analysis (EDA) to understand data characteristics and identify patterns. Utilize data visualization techniques to communicate insights effectively. Data Preparation and Engineering: Ingest, clean, preprocess, and transform data to prepare it for analysis and modeling. Handle missing values, outliers, and inconsistencies. Labeling datasets appropriately for classification problems. Machine Learning: Build, train, and evaluate machine learning models, including traditional algorithms like CNNs, XGBoost, Transformers, Various Graph ML algorithms, Time Series modelling, LLM etc. Model Deployment: Collaborate with engineering teams to deploy models into production, ensuring scalability and reliability. You need to be aware of and have experience in model quantization, model evaluation and various deployment formats like ONNX, GGUF etc Problem-Solving: Apply critical thinking and problem-solving skills to tackle complex data challenges. Collaboration: Work effectively with data engineers, analysts, and domain experts to understand business requirements and translate them into actionable data insights. Qualifications Masters degree in Computer Science/Engineering. 4-5 years of experience in data science or a related field. Strong proficiency in Python programming language. Experience with data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib, Seaborn). Knowledge of machine learning algorithms and techniques. Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch). Experience with natural language processing (NLP) and large language models (LLMs) is a plus. Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Preferred Qualifications: Experience with Go programming language. Acceleration frameworks such as RAPIDS, Spark is preferable. Knowledge of cloud platforms (e.g., AWS, GCP, Azure). Experience with data version control and MLOps practices. Location: *Applicants must be authorized to work in the US The pay range for this position at commencement of employment in California, Washington, or New York City is expected in the range of $170,000 - $225,000. A candidate’s specific pay within this range will depend on a variety of factors, including job-related skills, training, location, experience, relevant education, certifications, and other business and organizational needs. Why Versa? Benefits At Versa Networks, we believe in taking care of our people – both professionally and personally. We offer a comprehensive benefits package designed to support the well-being, growth, and work-life balance of our employees. When you join our team, you can expect: Competitive Salary & Incentives: We offer a competitive compensation package with and pre-IPO equity to reward your hard work and dedication. Health & Wellness: Comprehensive medical, dental, and vision insurance plans to ensure you and your family stay healthy and covered. Paid Time Off (PTO): Enjoy a generous PTO policy that includes vacation days, sick leave, and paid holidays to recharge and take care of personal matters. Flexible Work Environment: We understand the importance of work-life balance. Enjoy the flexibility of remote work, and hybrid option to create the work schedule that works best for you. Professional Development: We believe in continuous learning. Access to training, certifications, and educational resources to help you grow in your career and stay ahead of industry trends. Employee Recognition: We celebrate achievements both big and small, with regular recognition programs and awards that highlight your contributions to our collective success. Collaborative Culture: Be part of a dynamic, inclusive, and supportive team where innovation and collaboration are at the heart of everything we do. Parental Leave: Generous parental leave policies to support you during life's important moments. At Versa Networks, our benefits are designed to help you thrive both inside and outside the office. Join us and experience a rewarding, fulfilling career in a supportive environment that values your health, happiness, and success. Versa Networks is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Oliver Wyman is seeking candidates for the following position based in the Pune/Mumbai/ Gurgaon office: We are seeking an experienced Data Scientist to collaborate with cross-functional stakeholders and translate strategic business goals into impactful data science solutions. The ideal candidate will analyze complex datasets, build scalable machine learning models, and develop automated data pipelines to drive data-driven decision-making across the organization. This role requires strong technical expertise, business acumen, and the ability to work within enterprise environments adhering to data governance, security, and compliance standards. Key Responsibilities: Partner with business groups and technology teams to understand strategic objectives and translate them into actionable data science projects aligned with enterprise goals. Analyze large volumes of structured and unstructured data to extract insights, assess data quality, and perform advanced data wrangling and feature engineering. Design, develop, and implement efficient, scalable, and maintainable code for data manipulation and machine learning model development using Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) or R. Develop and maintain automated ETL pipelines leveraging cloud-based platforms such as Databricks, AWS S3, Athena, Glue, or equivalent enterprise data platforms. Utilize GenAI and ChatGPT APIs to automate data ingestion and processing workflows; familiarity with large language models (LLM), retrieval-augmented generation (RAG), Power BI, and Tableau is a plus. Build and integrate RESTful APIs to enable seamless and secure data exchange between internal systems and external partners. Create and maintain automation scripts for data extraction, transformation, and reporting using Python and other scripting languages. Write optimized SQL queries and manage enterprise-grade database systems; experience with data warehousing solutions such as Redshift, Snowflake, or Azure Synapse is required. Demonstrate expertise in data modeling, transformation, storytelling, and visualization using Power BI, Tableau, or similar BI tools. Communicate complex technical insights and analyses clearly and concisely to both technical and non-technical stakeholders, supporting data-driven decision-making. Apply machine learning, statistical modeling, and time-series forecasting techniques (classification, regression, clustering, random forest, gradient boosting, etc.) to build, calibrate, and validate predictive models. Deliver end-to-end data pipelines and deploy machine learning models in production environments following enterprise best practices for scalability, monitoring, and governance. Ensure compliance with data privacy, security policies, and regulatory requirements (e.g., GDPR, HIPAA) during data handling and model deployment. Collaborate with data engineering, IT, and security teams to ensure robust data infrastructure and governance frameworks. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field. 4+ years of hands-on experience with cloud-based data science and engineering technologies, including platforms like Databricks, AWS S3, Athena, Glue, or comparable enterprise cloud services. Strong programming skills in Python with expertise in libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Proficient in SQL and experienced with enterprise database management and data warehousing technologies (e.g., Databricks, Redshift, Snowflake, Azure Synapse). Experience designing and developing automated data pipelines and workflows; familiarity with Git, CI/CD, and DevOps principles. Proven ability to design, implement, and deploy machine learning models and data workflows in production environments. Strong analytical, problem-solving, and communication skills, with the ability to translate complex technical concepts for diverse audiences. Experience working in enterprise environments with strict data governance, security, and compliance requirements. Preferred Skills: Experience with GenAI, ChatGPT API integration, and working knowledge of large language models (LLM) and retrieval-augmented generation (RAG). Proficiency in data visualization tools such as Power BI, Tableau, or equivalent. Familiarity with REST API development and integration. Knowledge of time-series forecasting and advanced machine learning algorithms including ensemble methods and deep learning. Exposure to containerization (Docker), orchestration (Kubernetes), and cloud ML platforms (e.g., Azure ML, Databricks AI Platform). Experience in agile project delivery and collaborative team environments. About Oliver Wyman: Oliver Wyman is a global leader in management consulting. With offices in 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 7,000 professionals around the world who work with clients to optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC]. For more information, visit www.oliverwyman.com. Follow Oliver Wyman on X @OliverWyman. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

Who You'll Work With Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else. When you join us, you will have: Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family. Your Impact At McKinsey you will work on real-world, high-impact projects across a variety of industries. You will have the opportunity to collaborate with QB/Labs teams and build complex and innovative ML systems to accelerate our work in AI and help solve business problems at speed and scale. You will experience the best environment to grow as a technologist and a leader. You will develop a sought-after perspective connecting technology and business value by working on real-life problems across a variety of industries and technical challenges to serve our clients on their changing needs. You will be surrounded by inspiring individuals as part of diverse and multidisciplinary teams. You will develop a holistic perspective of AI by partnering with the best design, technical, and business talent in the world as your team members. While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, Azure, and more. You will work with other data scientists, data/ML engineers, designers, project managers and business subject matter experts on interdisciplinary projects across various industry sectors to enable business ambitions with data & analytics. You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritizing impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly. As a Data Scientist, you will: Solve the hardest business problems with our clients in multiple industries worldwide while leading research and development of state-of-the-art Machine Learning and statistical methods Play a leading role in bringing the latest advances in AI and deep learning to our clients, collaborating with industry executives and QuantumBlack experts to find and execute opportunities to improve business performance using data and advanced machine learning models Identify machine learning R&D initiatives that have high potential of applicability in industry Work with QuantumBlack leadership and client executives to understand business problems and map them to state-of-the-art analytics and AI solutions Work closely with other data scientists, data engineers, machine learning engineers and designers to build end-to-end analytics solutions for our clients that drive real impact in the real world Perhaps most importantly, you will work in one of the most talented and diverse data science teams in the world Your Qualifications and Skills Bachelor's or master's level in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence 2+ years of deep technical experience in machine learning, advanced analytics and statistics Advanced programming expertise in Python Proven application of advanced analytical, data science and statistical methods in realworld engagements Knowledge in Engineering standards, QA/Risk Management Experience and expertise In GenAI application development (RAG, Agentic flows, etc.) using API integration and orchestration tools such as Langchains, Crew.AI, AutoGen will be an added advantage Willingness to travel both domestic and international Good presentation and communication skills, with a knack for explaining complex analytical concepts and insights to technical as well as non-technical audiences

The ideal candidate’s favorite words are : learning, data, scale, and agility. You will leverage your collaboration skills and ability to extract valuable insights from complex datasets to ask the right questions and find the right answers . Responsibilities Analyze raw data: assess quality, cleanse, and structure it for downstream processing. Design accurate and scalable prediction algorithms. Collaborate with engineering teams to bring analytical prototypes to production. Generate actionable insights for business improvements. Identify patterns, trends, and anomalies in large datasets. Build predictive models to forecast risks and prevent issues. Create monthly & quarterly reports with clear recommendations. Present findings to leadership and recommend data-driven strategies. Qualifications Bachelor’s degree or equivalent in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.). 1–3 years’ experience in quantitative analytics or data modeling. Strong knowledge of predictive modeling, machine learning, clustering, and classification algorithms. Proficiency in at least one programming language (Python, C, C++, Java, SQL). Familiarity with big data frameworks and visualization tools (Hadoop, Spark, Cassandra, Tableau, Power BI). Skills & Competencies Proven expertise in data analytics, statistical modeling, and predictive analytics. Strong ability to translate data into operational strategies. Excellent communication skills for presenting findings to non-technical stakeholders. 📍 Location: Remote/Office 📌 Type: Full-time / Contract (Probation Period Applies) 📧 Apply: buihrops@brightuitechnologies.com/9500746789

We are seeking a skilled Machine Learning Engineer , Data Scientist , or Data Analyst to design, develop, and deploy machine learning models, conduct deep data analysis, and generate actionable insights. The ideal candidate will have experience in data preprocessing, feature engineering, model development, and performance optimization, working with large datasets and leveraging advanced machine learning frameworks. Required Skills: Programming Languages : Strong proficiency in Python , with experience in SQL . Machine Learning : Hands-on experience with Scikit-learn , TensorFlow , Keras , PyTorch , or similar ML libraries. Data Analysis : Strong skills in Pandas , NumPy , and Matplotlib for data manipulation and analysis. Statistical Analysis : Experience applying statistical methods to data, including hypothesis testing and regression analysis. Cloud Platforms : Familiarity with AWS , Azure , or Google Cloud for deploying models and using cloud-native data services (e.g., AWS Sagemaker , Azure ML ). Data Visualization : Experience using Tableau , Power BI , Matplotlib , Seaborn , or Plotly for creating visualizations. SQL & Databases : Proficiency in SQL for querying relational databases and working with NoSQL databases (e.g., MongoDB , BigQuery ). Version Control : Experience using Git for version control. Desirable Skills: Big Data Technologies : Familiarity with tools like Apache Hadoop , Spark , Dask , or Google BigQuery for processing large datasets. Deep Learning : Experience with deep learning frameworks such as TensorFlow , PyTorch , or MXNet . NLP & Computer Vision : Experience with natural language processing (NLP) using spaCy , NLTK , or transformers , and computer vision using OpenCV or TensorFlow . MLOps : Familiarity with MLOps tools like Kubeflow , MLflow , or DVC for managing model workflows. Data Engineering : Experience with ETL tools like Apache Airflow , Talend , AWS Glue , or Google Dataflow for data pipeline automation. Tools & Technologies: Machine Learning : Scikit-learn, TensorFlow, PyTorch, Keras, XGBoost. Data Analysis : Pandas, NumPy, Matplotlib, Seaborn, Plotly. Cloud Platforms : AWS, Google Cloud, Azure. Databases : MySQL, PostgreSQL, MongoDB, BigQuery, Snowflake. Data Visualization : Tableau, Power BI, Matplotlib, Seaborn, Plotly. Version Control : Git.

Job Title – Data Scientist – AI & Advanced Analytics About Us We are a fast-growing IT organization at the forefront of telecom tower management automation , building next-generation AI-powered solutions for operational excellence. Our platforms handle large volumes of structured and unstructured data across maintenance, asset, energy, and real-time monitoring systems —and we’re on a mission to revolutionize this space with AI, ML, and foundation models . If you are passionate about AI-driven innovation , eager to solve complex real-world problems, and thrive in a data-rich, fast-paced environment—this role is for you. Role Overview We are hiring a Data Scientist who will take a pivotal role in driving advanced analytics and predictive modelling across our telecom software platforms. You’ll work on large, diverse datasets from multiple software modules, collaborate with cross-functional teams, and play a strategic role in developing AI/ML models that power intelligent decision-making and automation. Key Responsibilities Analyse large-scale data from telecom tower operations (maintenance, asset, energy, monitoring) to generate insights and automation strategies. Develop and implement AI/ML models —including time series forecasting, anomaly detection, predictive maintenance, and optimization. Evaluate and recommend the right AI/ML techniques or foundation models (e.g., LLMs, transformers) based on the business use case. Write clean, modular, and optimized Python code for data processing, feature engineering, and model training. Design and present compelling Power BI dashboards with advanced DAX measures to communicate key insights. Work with structured/unstructured data using SQL and other query languages to extract and prepare data across multiple systems. Collaborate with engineering and domain teams to integrate models into production pipelines and automation platforms. Stay current with AI innovations, research papers, and emerging technologies, and bring in new ideas to the team. What We’re Looking For Must-Have Skills: Strong proficiency in Python programming for data analysis, modelling, and automation. Deep understanding of AI/ML algorithms , especially for time series forecasting, clustering, and classification. Exposure to foundation models (LLMs, transformers) and their practical application in analytics. Experience working with large datasets from multiple domains/modules. Proficient in SQL for complex data extraction and transformation. Hands-on experience with Power BI and DAX for data visualization and storytelling. Strong problem-solving , critical thinking , and analytical mind set. Preferred Skills: Familiarity with telecom-specific datasets or tower operations (assets, maintenance, fuel, energy). Who You Are A self-starter with a strong curiosity for AI technologies and real-world applications. Comfortable handling ambiguity , breaking down complex problems, and recommending data-driven solutions. A team player who can collaborate across business, engineering, and product teams. Willing to learn continuously and contribute to a culture of innovation. What We Offer Opportunity to build cutting-edge AI solutions for telecom automation at scale. A collaborative environment where your voice and ideas matter. Access to the latest tools, technologies, and foundation models. Career growth in an organization pushing boundaries in AI, IoT, and automation. Educational Background Bachelors or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics or related field .

Bhubaneswar, India Job Category : Data Scientist Posting Date : 01 January 2024 Job Type : Engineering Years of Experience : 5 Does this position require a security clearance? No Applicants are required to read,write and speak the following languages Hindi/English Additional Info : Job Description Are you seeking your next career advancement? At our company, we present thrilling prospects for skilled professionals in a diverse range of job fields and positions. Come on board with us to create remarkable achievements. We take pride in being the fastest-growing enterprise resource planning platform, attracting new customers to our advanced system for expediting their business processes. Our teams diligently contribute towards our triumph, each with a crucial role to fulfill. Responsibilities Develop and create AI/ML based predictive solutions and enhance or upgrade existing ones. Collaborate and communicate effectively with various teams within Nirmalya. Establish strong partnerships with business representatives to fully grasp their requirements. Engage proficiently with other teams and individuals. Proficient in programming languages like Python. Exceptional verbal and written English communication abilities. Outstanding troubleshooting and problem-solving skills. Possess a curious mindset to tackle exciting new subjects. Display a high level of curiosity, motivation, and eagerness to learn new technologies. Valuable team player with fast learning abilities. Encouraged to contribute own ideas and perspectives openly. Qualifications Bachelor's or higher degree in computer science or a related technical/scientific discipline. Strong analytical skills required, including a thorough understanding of how to interpret customer business needs and translate them into solutions and operational requirements. Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts. Required Skills Proficiency in mathematics, statistics, computer science, or related fields is required. Preferably, expertise in linear algebra, calculus, and statistics. In-depth knowledge of data science and predictive methodologies is essential. Familiarity with agile working methodologies such as SAFe, SCRUM, KANBAN, etc. is advantageous. Capable of managing multiple projects simultaneously. Additional programming skills are highly advantageous (optional). Disclaimer Hiring Range: from 1000000 to 2250000 per annum. May be eligible for bonus and equity. We maintain broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Nirmalya’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. About Us Nirmalya's career has the potential to encompass various industries, roles, countries, and cultures, allowing for growth in novel positions and driving innovation, while effectively balancing work and personal life. Nirmalya has achieved success over the years by embracing change, fostering innovation, and consistently upholding ethical principles, thereby delivering exceptional results for leading companies across multiple industries.To foster and support the talents responsible for such accomplishments, our dedication lies in cultivating an inclusive culture that appreciates and embraces diverse insights and perspectives. We strive to create a workforce that inspires thought leadership and sparks innovation, ensuring a thriving environment for all. Nirmalya Employee Benefits are meticulously designed to prioritize equality, reliability, and affordability. Our comprehensive package encompasses essential features such as Medical and Life Insurance, while also granting access to Retirement Planning and more. Additionally, we actively encourage our employees to actively contribute to the well-being of the communities where we operate. We firmly believe that fostering diversity and inclusion lays the foundation for innovation. To shape a brighter tomorrow, we seek talent from diverse backgrounds, embracing a range of perspectives and abilities. We are committed to providing reasonable accommodations to individuals with disabilities throughout the job application, interview, and prospective role stages, thereby enabling them to effectively perform crucial job functions. Our dedication lies in fostering an inclusive workforce that enables every individual to thrive. We believe in the power of diverse perspectives and value every voice, as it is this harmony that propels us to surpass previous achievements. As an Equal Employment Opportunity Employer, Nirmalya ensures that all applicants are treated fairly and without discrimination. We promote equality regardless of race, color, religion, national origin, gender identity, disability, protected veterans’ status, or any other characteristic protected by law. Additionally, Oracle complies with applicable legislation by considering qualified applicants with arrest and conviction records for employment opportunities. Join our team where diversity is celebrated, and everyone's unique contribution is respected. Together, we embrace innovation and strive towards excellence – a testament to our commitment to fostering an inclusive and thriving workplace.

Job Reference # 321337BR Job Type Full Time Your role Are you excited to work with a global team with diverse backgrounds and talents? Can you apply your technical skills to help quantify business risks? Do you enjoy the challenge of driving business impact through analytics and are looking for an opportunity to lead innovation? We’re looking for a Data Scientist to: Engage in audits to analyze data using traditional machine learning or AI models to uncover trends, patterns or anomalies that auditors can investigate further. Work collaboratively with stakeholders to assist in risk assessments and highlight high risk areas for deep dives. Clearly communicate complex insights derived from analytics to senior stakeholders in a manner that is both engaging and impactful. Staying up to date with advancements in AI, ML and NLP to implement cutting edge solutions such as working with latest Large Language Models (LLMs). Providing auditors training and support if required to effectively use data driven tools and solutions. Your team You will be working in Group Internal Audit (GIA) Team in India. GIA is an independent function that supports UBS in achieving its strategic, operational, financial and compliance objectives. We do this by assessing key processes, governance, risk management, and the control environment within all Business Divisions and Group Functions globally. We are independent in our work and report directly to the Chairman of the Board and the Audit Committee. We are a talent powerhouse that attracts and develops the best people by driving career growth in and outside the department. Our GIA innovation team supports GIA’s mission and vision by empowering all staff to embrace innovative automation and data analytics tools and techniques. In your role, you will own and support the development of analytics tools which deliver important capabilities to our audit function. Your expertise Bachelor's or Master's degree in a relevant field (e.g. Statistics, Data Science, Computer Science) 3+ years’ experience working as a data scientist building innovative solutions, preferably within the financial services industry. Strong foundation in statistics including hypothesis testing . Proficient in using Python, SQL, Alteryx, and Power BI to build and manage data analytics. Expertise in Machine Learning algorithms (e.g. regression, classification, decision trees, SVMs etc.) Experience in Natural Language Processing (NLP) techniques and working with Large Language Models(LLMs) like BERT, GPT for text generation, classification or topic discovery. Fine tuning pre-trained models to improve their performance on specific tasks. Good communication and interpersonal skills. Ability to grasp technical concepts and communicate such concepts to various audiences. Able to work effectively as an individual contributor with minimal supervision. Self-motivated and proactive team player, who takes ownership and accountability of projects, has strong organizational skills as well as ability to effectively manage competing priorities. Preferably experience delivering projects within an Agile methodology framework. About Us UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.. We have a presence in all major financial centers in more than 50 countries. Join us At UBS, we embrace flexible ways of working when the role permits. We offer different working arrangements like part-time, job-sharing and hybrid (office and home) working. Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs. From gaining new experiences in different roles to acquiring fresh knowledge and skills, we know that great work is never done alone. We know that it's our people, with their unique backgrounds, skills, experience levels and interests, who drive our ongoing success. Together we’re more than ourselves. Ready to be part of #teamUBS and make an impact? Disclaimer / Policy Statements UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce. Your Career Comeback We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.

Job Reference # 321337BR Job Type Full Time Your role Are you excited to work with a global team with diverse backgrounds and talents? Can you apply your technical skills to help quantify business risks? Do you enjoy the challenge of driving business impact through analytics and are looking for an opportunity to lead innovation? We’re looking for a Data Scientist to: Engage in audits to analyze data using traditional machine learning or AI models to uncover trends, patterns or anomalies that auditors can investigate further. Work collaboratively with stakeholders to assist in risk assessments and highlight high risk areas for deep dives. Clearly communicate complex insights derived from analytics to senior stakeholders in a manner that is both engaging and impactful. Staying up to date with advancements in AI, ML and NLP to implement cutting edge solutions such as working with latest Large Language Models (LLMs). Providing auditors training and support if required to effectively use data driven tools and solutions. Your team You will be working in Group Internal Audit (GIA) Team in India. GIA is an independent function that supports UBS in achieving its strategic, operational, financial and compliance objectives. We do this by assessing key processes, governance, risk management, and the control environment within all Business Divisions and Group Functions globally. We are independent in our work and report directly to the Chairman of the Board and the Audit Committee. We are a talent powerhouse that attracts and develops the best people by driving career growth in and outside the department. Our GIA innovation team supports GIA’s mission and vision by empowering all staff to embrace innovative automation and data analytics tools and techniques. In your role, you will own and support the development of analytics tools which deliver important capabilities to our audit function. Your expertise Bachelor's or Master's degree in a relevant field (e.g. Statistics, Data Science, Computer Science) 3+ years’ experience working as a data scientist building innovative solutions, preferably within the financial services industry. Strong foundation in statistics including hypothesis testing . Proficient in using Python, SQL, Alteryx, and Power BI to build and manage data analytics. Expertise in Machine Learning algorithms (e.g. regression, classification, decision trees, SVMs etc.) Experience in Natural Language Processing (NLP) techniques and working with Large Language Models(LLMs) like BERT, GPT for text generation, classification or topic discovery. Fine tuning pre-trained models to improve their performance on specific tasks. Good communication and interpersonal skills. Ability to grasp technical concepts and communicate such concepts to various audiences. Able to work effectively as an individual contributor with minimal supervision. Self-motivated and proactive team player, who takes ownership and accountability of projects, has strong organizational skills as well as ability to effectively manage competing priorities. Preferably experience delivering projects within an Agile methodology framework. About Us UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.. We have a presence in all major financial centers in more than 50 countries. Join us At UBS, we embrace flexible ways of working when the role permits. We offer different working arrangements like part-time, job-sharing and hybrid (office and home) working. Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs. From gaining new experiences in different roles to acquiring fresh knowledge and skills, we know that great work is never done alone. We know that it's our people, with their unique backgrounds, skills, experience levels and interests, who drive our ongoing success. Together we’re more than ourselves. Ready to be part of #teamUBS and make an impact? Disclaimer / Policy Statements UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce. Your Career Comeback We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.

Als Data Scientist bij Wehkamp en Kleertjes.nl speel je een sleutelrol in het omzetten van data naar directe bedrijfswaarde. Je ontwikkelt geavanceerde modellen en analyses die de klantervaring verbeteren en de bedrijfsstrategie vormgeven. Je bent niet alleen bezig met het ontwerpen van algoritmes; je hebt ook de technische vaardigheden om je modellen robuust te implementeren en ervoor te zorgen dat ze schaalbaar in een productieomgeving draaien. Je overziet het proces van hypothese tot operationeel data product. Verantwoordelijkheden En Taken Je ontwikkelt en integreert machine learning-modellen om producten aan te bevelen, de klantervaring te personaliseren en operationele processen te optimaliseren. Je voert verkennende data-analyses uit om trends en patronen te ontdekken die leiden tot bedrijfsverbetering. Je bent verantwoordelijk voor het end-to-end in gebruik nemen van je modellen, waarbij je zorgt voor efficiënte en betrouwbare prestaties. Je draagt actief bij aan het ontwerp en de optimalisatie van de data pijplijnen die jouw modellen voeden, in nauwe samenwerking met het data engineering team. Je ontwerpt en voert A/B-testen en andere experimenten uit om hypotheses te valideren en modelprestaties te evalueren. Je visualiseert en presenteert je bevindingen op een overtuigende manier aan zowel technische als niet-technische stakeholders. Interesse? Een masterdiploma in Data Science, Econometrie, Statistiek, Computerwetenschappen of een gerelateerde kwantitatieve opleiding. Diepgaande kennis van AI, statistiek en machine learning-algoritmes. Sterke programmeervaardigheden in Python. Praktische ervaring met big data-technologieën zoals Spark en bij voorkeur met het Databricks-platform. Ervaring met het werken in een cloud-omgeving en het begrijpen van de onderliggende infrastructuur. Sterke analytische en probleemoplossende mindset. EU-burgerschap en woonachtig in Nederland is vereist (bij voorkeur Nederlandstalig). Bonuspunten Voor Ervaring met datavisualisatietools zoals Tableau. Kennis van de basisprincipes van CI/CD en ervaring met Git. Praktische ervaring met het bouwen van data-intensieve applicaties. Wat zetten wij hier tegenover? Wij helpen jou elke dag om alles uit jouw carrière te halen. Jouw ontwikkeling en jouw persoonlijke groei zijn een wederzijdse commitment: WRG groeit, jij groeit. Jij groeit, WRG groeit. Verder Bieden We Salaris passend bij jouw ervaring; Vakantietoeslag van 10,5%; 25 vakantiedagen per jaar; Mogelijkheid tot sporten in onze eigen sportschool; Reiskostenvergoeding én een thuiswerkvergoeding; Goede pensioenregeling; Personeelskorting op nagenoeg het gehele assortiment van Wehkamp.nl

Bhubaneswar, India Job Category : Data Scientist Posting Date : 01 January 2024 Job Type : Engineering Years of Experience : 5 Does this position require a security clearance? No Applicants are required to read,write and speak the following languages Hindi/English Additional Info : Job Description Are you seeking your next career advancement? At our company, we present thrilling prospects for skilled professionals in a diverse range of job fields and positions. Come on board with us to create remarkable achievements. We take pride in being the fastest-growing enterprise resource planning platform, attracting new customers to our advanced system for expediting their business processes. Our teams diligently contribute towards our triumph, each with a crucial role to fulfill. Responsibilities Develop and create AI/ML based predictive solutions and enhance or upgrade existing ones. Collaborate and communicate effectively with various teams within Nirmalya. Establish strong partnerships with business representatives to fully grasp their requirements. Engage proficiently with other teams and individuals. Proficient in programming languages like Python. Exceptional verbal and written English communication abilities. Outstanding troubleshooting and problem-solving skills. Possess a curious mindset to tackle exciting new subjects. Display a high level of curiosity, motivation, and eagerness to learn new technologies. Valuable team player with fast learning abilities. Encouraged to contribute own ideas and perspectives openly. Qualifications Bachelor's or higher degree in computer science or a related technical/scientific discipline. Strong analytical skills required, including a thorough understanding of how to interpret customer business needs and translate them into solutions and operational requirements. Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts. Required Skills Proficiency in mathematics, statistics, computer science, or related fields is required. Preferably, expertise in linear algebra, calculus, and statistics. In-depth knowledge of data science and predictive methodologies is essential. Familiarity with agile working methodologies such as SAFe, SCRUM, KANBAN, etc. is advantageous. Capable of managing multiple projects simultaneously. Additional programming skills are highly advantageous (optional). Disclaimer Hiring Range: from 1000000 to 2250000 per annum. May be eligible for bonus and equity. We maintain broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Nirmalya’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. About Us Nirmalya's career has the potential to encompass various industries, roles, countries, and cultures, allowing for growth in novel positions and driving innovation, while effectively balancing work and personal life. Nirmalya has achieved success over the years by embracing change, fostering innovation, and consistently upholding ethical principles, thereby delivering exceptional results for leading companies across multiple industries.To foster and support the talents responsible for such accomplishments, our dedication lies in cultivating an inclusive culture that appreciates and embraces diverse insights and perspectives. We strive to create a workforce that inspires thought leadership and sparks innovation, ensuring a thriving environment for all. Nirmalya Employee Benefits are meticulously designed to prioritize equality, reliability, and affordability. Our comprehensive package encompasses essential features such as Medical and Life Insurance, while also granting access to Retirement Planning and more. Additionally, we actively encourage our employees to actively contribute to the well-being of the communities where we operate. We firmly believe that fostering diversity and inclusion lays the foundation for innovation. To shape a brighter tomorrow, we seek talent from diverse backgrounds, embracing a range of perspectives and abilities. We are committed to providing reasonable accommodations to individuals with disabilities throughout the job application, interview, and prospective role stages, thereby enabling them to effectively perform crucial job functions. Our dedication lies in fostering an inclusive workforce that enables every individual to thrive. We believe in the power of diverse perspectives and value every voice, as it is this harmony that propels us to surpass previous achievements. As an Equal Employment Opportunity Employer, Nirmalya ensures that all applicants are treated fairly and without discrimination. We promote equality regardless of race, color, religion, national origin, gender identity, disability, protected veterans’ status, or any other characteristic protected by law. Additionally, Oracle complies with applicable legislation by considering qualified applicants with arrest and conviction records for employment opportunities. Join our team where diversity is celebrated, and everyone's unique contribution is respected. Together, we embrace innovation and strive towards excellence – a testament to our commitment to fostering an inclusive and thriving workplace.

Data Science & Gen AI Delivery Lead Job Title: Data Science & Gen AI Delivery Lead Location: Hyderabad, Bangalore, Kolhapur Experience: 10 - 20 Years Notice: Immediate – 60 Days Job Type: Fulltime Mode of Work: Work from Office Role Summary: We are looking for a highly motivated and experienced Data Science & Generative AI Delivery Lead to spearhead AI solution delivery and ensure successful implementation of cutting-edge AI and Gen AI solutions. The ideal candidate will have a strong background in Data Science, Artificial Intelligence, and Generative AI, with proven experience in leading and delivering AI/ML projects across industries. Experience in Data Engineering is a strong plus. Required Skills and Qualifications: 8+ years of experience in Data Science and AI project execution and delivery. Proven experience in delivering enterprise-scale AI/ML solutions. Hands-on expertise in at least two of the following: predictive modeling, NLP, Gen AI, LLM-based applications. Experience in Gen AI solutions including LLM fine-tuning, prompt engineering, and RAG implementations. Strong knowledge of Python, ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch), and Gen AI frameworks (LangChain, LlamaIndex, Hugging Face). Familiarity with cloud-based AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI). Experience working with vector databases (e.g., FAISS, Pinecone, Weaviate). Strong communication and leadership skills, with the ability to guide technical teams and engage with business stakeholders.

Role: Data Scientist Location: Hyderabad, Telangana, India (Remote for 3 months, then On-site) Compensation: ₹20 LPA - ₹28 LPA Experience Level: 6- 8 Years About Company It is a global leader in AI and machine learning solutions, with a footprint in Mexico, the United States, and India. Our mission is to pioneer business success through next-generation technologies, empowering partners to modernize, scale, and innovate. With an emphasis on innovation, client-centricity, ethical AI development, and continuous learning, we are building foundational teams in Hyderabad to drive our Indian operations—making this a rare opportunity to shape the culture and direction of an AI-first company. Role Overview As a Data Scientist , you will play a critical role in driving data-driven decision-making by extracting actionable insights from complex datasets. You will collaborate cross-functionally with engineers, product managers, and business stakeholders to design and implement scalable machine learning solutions that enhance products and services. Key Responsibilities Analyze large and complex datasets to extract meaningful insights and support business decisions Design, develop, and deploy machine learning models and statistical algorithms Collaborate with engineering and product teams to integrate models into production Develop and maintain data pipelines and model performance monitoring systems Communicate technical concepts and results clearly to non-technical stakeholders Continuously research and implement new tools, techniques, and best practices in data science Required Qualifications Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field Minimum 8 years of relevant experience with a Bachelor's degree, or 6 years with a Master’s degree Proficiency in programming languages such as Python, R, or SQL Hands-on experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn Strong experience with data visualization tools such as Tableau or Power BI Familiarity with cloud platforms like AWS, Azure, or Google Cloud Understanding of big data tools and frameworks (e.g., Hadoop, Spark) Strong analytical, problem-solving, and communication skills Experience working in Agile development environments Preferred Skills (Role-Dependent):- Depending on project requirements, experience in the following technologies is highly desirable: Azure, Microservice Architecture, C#, .NET, SQL PHP, MySQL, JavaScript, Vue.js, HTML Unit testing methodologies OOP/MVC design patterns Docker, Pub/Sub systems, and asynchronous messaging Experience with Linux OS (preferably Ubuntu) MVVM architecture, Angular, Knockout NoSQL databases (e.g., Azure CosmosDB) Hiring Process:- Initial Screening Interview Two Technical Rounds (by the US-based team) Final Evaluation Round Work Culture & Values Innovation & Excellence: Operate at the cutting edge of AI and analytics while driving process and product innovation. Client-Focused Mindset: Every team member directly impacts client partnership and success. Integrity & Responsibility: Uphold the highest standards of ethical conduct and data integrity. Continuous Learning: Regular mentorship, open learning sessions, and support for upskilling. Collaboration: Diverse, international team with transparent communication and a culture of inclusion and support. Additional Details:- First 3 months: Contractual, remote work (anywhere in India) After 3 months: Permanent, on-site in Hyderabad (support provided for relocation, if needed) Unique Opportunity: Contribute to building the foundation of our India operations with direct exposure to international teams and cutting-edge AI product innovation. Skills: python,linux,oop,unit testing methodologies,c#,pytorch,power bi,azure cosmosdb,.net,angular,vue.js,google cloud,microservice architecture,sql,mvvm architecture,scikit-learn,r, python, machine learning, tableau, big data,php,docker,knockout,azure,cloud platforms like aws, azure, or google cloud,spark,tensorflow, pytorch, or scikit-learn,tensorflow,aws,r,mvc design patterns,data scientist,javascript,mysql,big data tools and frameworks (e.g., hadoop, spark),tableau,hadoop,html

We are looking for a dedicated, motivated, and highly skilled Data Scientist to join our team in India. This role is crucial in driving the development and dynamic updating of models using voyage data, engine benchmarks, and marine engineering principles. The successful candidate will build adaptive, interpretable models that update from voyage related data while incorporating deep domain understanding from naval engineering principles. Additionally, the role involves addressing challenges in data visualization and predictive analysis to optimize vessel performance. If you are passionate about marine engineering and data science, we encourage you to apply This role offers an exciting opportunity to contribute to cutting-edge projects in the maritime industry, leveraging advanced data science techniques to optimize vessel performance and address key challenges in data visualization and predictive analysis Your Responsibilities: Develop advanced models using diverse data sources and analytical techniques to enhance our maritime products and services Research and integrate fundamental marine engineering and naval architecture concepts into modeling approaches Implement machine learning and neural network models into our digital solutions Deliver production-grade, scalable solutions supporting next-level vessel performance optimization. Support in data exploration and visualization efforts Communicate technical insights clearly to both technical and non-technical stakeholders Collaborate with the development team on UI, KPIs, or dashboard development Your Background: 3 to 4 years of experience in data science/software development or equivalent from work experience Proficiency in machine learning and/or neural network models. Familiarity with marine engineering and naval architecture principles. Experience with full-stack development is a plus. Strong communication skills to convey technical insights to diverse stakeholders. Proficiency in data visualization techniques and data analytics tools. Collaborative mindset to work effectively with development teams on UI and dashboard projects

Job Role: Data Scientist Job Location: Bangalore Work Mode: Work from office Exp level : 8+ About the Role We are aggressively hiring for a Data Scientist to join our dynamic team in Bangalore. The ideal candidate will have over 8 years of hands-on experience in data science and must be available to join immediately . This role requires a strong foundation in Python and SQL , along with practical expertise in cutting-edge AI and machine learning technologies. Key Skills & Requirements Python & SQL – Proficiency in both is a must Time Series Forecasting – Demonstrated experience in building models for time-based predictions Machine Learning (ML) – Strong theoretical foundation and hands-on experience with ML algorithms Large Language Models (LLMs) – Good understanding and practical application in real-world use cases Generative AI & Agentic AI – Exposure to advanced and emerging AI methodologies Cloud (AWS) – Practical experience working with AWS cloud services

At Capgemini Invent, we believe that difference drives change. As inventive transformation consultants, we blend our strategic, creative, and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Our approach is informed and validated by science and data, superpowered by creativity and design, all underpinned by technology created with purpose. Your Role: - You should have 4-5 years of experience with hands-on experience in data science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP, and computer vision, preferably in the Life Sciences domain. - Proficiency in data mining and data cleansing techniques is required. - Excellent understanding and hands-on experience in building Deep-learning models for text & image analytics using tools such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc. - Proficient in coding in common data science languages & tools like R, Python, Go, SAS, Matlab, etc. - Experience with common data science toolkits such as NumPy, Pandas, StatModel, Scikit learn, SciPy, NLTK, Spacy, Gensim, OpenCV, MLFlow, Tensorflow, Pytorch, etc. - Solid understanding and hands-on experience of data science and machine learning techniques & algorithms for supervised and unsupervised problems, such as k-NN, Regression, Naive Bayes, SVM, Decision Tree, Random Forests, k-means, PCA, SVD, GenAI (LLM), etc. - Familiarity with common data science frameworks like Tensorflow, Keras, PyTorch, XGBoost, H2O, etc. - Exposure or knowledge in cloud (AWS/GCP/Azure) and big data technologies such as Hadoop, Hive, MapReduce, Pyspark, etc. Your Profile: - You should hold a Post-Graduate degree (M.E/ M.Tech/ M.Sc, etc) with experience in deploying models in production. - Experience in data management and visualization tasks. - Excellent understanding and hands-on experience in NLP and computer vision. - Familiarity with database systems of SQL and NoSQL. - Familiarity with data visualization tools such as Tableau, MS PowerBI, etc. - Ability to think creatively to solve real-world business problems, possessing critical thinking and problem-solving capabilities. - Data-oriented personality with hands-on experience in GenAI. - Good presentation skills with proficiency in verbal and written communication. - Knowledge or hands-on experience of exposure to large-scale datasets and respective tools & frameworks like Hadoop, Pyspark, etc. - Knowledge or hands-on experience in the deployment of models in production & deployment. What You Will Love About Working Here: - We recognize the significance of flexible work arrangements to provide support, offering remote work and flexible work hours to maintain a healthy work-life balance. - Your career growth is at the heart of our mission, with an array of career growth programs and diverse professions crafted to support you in exploring a world of opportunities. - Equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. With a responsible and diverse group of 340,000 team members in over 50 countries, Capgemini's strong over 55-year heritage is trusted by clients to unlock the value of technology to address the entire breadth of their business needs. The company delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by market-leading capabilities in AI, generative AI, cloud, and data, combined with deep industry expertise and a strong partner ecosystem.,

As a Data Scientist, you will be responsible for managing end-to-end delivery of data science projects. You will develop and validate predictive models using analytical tools and collaborate with the BD team, product managers, data engineers, and other teams to deploy analytical solutions. Supporting internal teams in developing in-house products and analytical solutions will also be a key part of your role. You will work on building models for descriptive and predictive analytics, exploring various areas such as natural language understanding, conversational AI, forecasting, and automation. Additionally, you will provide expertise in data wrangling, exploratory data analysis, and feature engineering with large data sets, as well as support the development of proofs of concept to demonstrate the application of analytical capabilities in solving customer problems in collaboration with product and other development teams. Aligning the technology solution with business goals is also a crucial aspect of this role. To qualify for this position, you should hold a Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or other quantitative fields. Familiarity with Agile methodologies and software development project management is required. Excellent written and verbal communication skills are essential, with experience in presenting complex technical information to non-technical audiences. Demonstrated flexibility, creativity, and patience in adapting to new situations and changing needs are also valued qualities. In terms of skills, you should have proven abilities in translating analytics output into actionable recommendations and delivering them to key stakeholders. Experience in extracting and aggregating data from large datasets, understanding and analyzing data using statistical software (e.g., Python, R, SQL, PySpark, etc.), and proficiency in Excel, PowerPoint, and BI tools such as Tableau and PowerBI are necessary. You will be expected to assess the effectiveness and accuracy of new data sources and data gathering techniques, develop custom data models and algorithms, and use predictive modeling to optimize customer experiences, revenue generation, data insights, and other business outcomes. Creating processes and tools to monitor and analyze model performance and data accuracy, partnering with key stakeholders/clients to understand problem statements, convincing them with data, and deriving relevant insights are also key responsibilities. Developing visualizations to make complex analyses accessible to a broad audience, demonstrating leadership and stakeholder management skills, maintaining high attention to detail and quality, and being highly adaptive and comfortable working within a complex environment are additional attributes that will contribute to your success in this role.,

Job Title: Data Scientist – Data Engineering & ETL Pipeline Specialist Location: Koramangala, Bangalore Employment Type: Full-time, Work from office Shift: 9:30PM to 6:30PM Experience: 0 to 2 years Salary: 3.8 LPA to 8 LPA Notice: Immediate Joiners Required About the Role We are looking for a Data Scientist with strong Data Engineering expertise to own the entire data lifecycle — from large-scale data acquisition (web crawling/scraping) to processing, transformation, and storage in analytics-ready formats. This role is ideal for someone who thrives at building scalable, distributed data systems and optimizing pipelines for performance, reliability, and cost efficiency. Key Responsibilities Data Acquisition: Architect and implement scalable web crawling/scraping systems for diverse verticals (e-commerce, social, technology, etc.). ETL/ELT Development: Design, build, and maintain real-time and batch data pipelines for ingestion, transformation, and loading into analytics platforms. Data Processing: Clean, enrich, and transform raw data into structured formats ready for machine learning and business intelligence. Data Storage: Manage and optimize data in data lakes, data warehouses, and OLTP/OLAP systems. System Observability: Implement robust logging and monitoring solutions for seamless system health checks and log analysis. Collaboration & Mentorship: Work closely with cross-functional teams and mentor junior developers in data engineering best practices. Continuously optimize infrastructure cost while maintaining high performance and reliability. Core Competencies Large-scale web data extraction (crawling/scraping) using custom & distributed systems. Real-time and batch processing with Kafka, Spark, and Storm. Data storage in MongoDB, HDFS, S3, Athena, and other warehouse/lake environments. Strong foundation in ETL pipeline design and optimization. Hands-on experience with distributed microservices architecture. Tech Stack & Tools Languages & Frameworks: Python, Apache Storm, Apache Spark, Apache Hadoop Message Queues & Caches: Kafka Cluster, Redis Cluster Databases & Storage: MongoDB, HDFS, Amazon S3, Athena Cloud Platforms: AWS, Azure, DigitalOcean Others: Distributed Systems, GitHub/Bitbucket, JIRA, Kibana Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, or related field. 3+ years of professional experience in Data Engineering, ETL/ELT pipeline development, and large-scale web data acquisition. Strong problem-solving, debugging, and optimization skills. Excellent communication and collaboration abilities.

Job Stage Description About this opportunity: This position plays a crucial role in the development of Python-based solutions, their deployment within a Kubernetes-based environment, and ensuring the smooth data flow for our machine learning and data science initiatives. The ideal candidate will possess a strong foundation in Python programming, hands-on experience with ElasticSearch, Logstash, and Kibana (ELK), a solid grasp of fundamental Spark concepts, and familiarity with visualization tools such as Grafana and Kibana. Furthermore, a background in ML Ops and expertise in both machine learning model development and deployment will be highly advantageous. What you will do: Python Development: Write clean, efficient, and maintainable Python code to support data engineering tasks, including data collection, transformation, and integration with machine learning models. Data Pipeline Development: Design, develop, and maintain robust data pipelines that efficiently gather, process, and transform data from various sources into a format suitable for machine learning and data science tasks using ELK stack, Python and other leading technologies. Spark Knowledge: Apply basic Spark concepts for distributed data processing when necessary, optimizing data workflows for performance and scalability. ELK Integration: Utilize ElasticSearch, Logstash, and Kibana (ELK) for data management, data indexing, and real-time data visualization. Knowledge of OpenSearch and related stack would be beneficial. Grafana and Kibana: Create and manage dashboards and visualizations using Grafana and Kibana to provide real-time insights into data and system performance. Kubernetes Deployment: Deploy data engineering solutions and machine learning models to a Kubernetes-based environment, ensuring security, scalability, reliability, and high availability. What you will Bring: Machine Learning Model Development: Collaborate with data scientists to develop and implement machine learning models, ensuring they meet performance and accuracy requirements. Model Deployment and Monitoring: Deploy machine learning models and implement monitoring solutions to track model performance, drift, and health. Data Quality and Governance: Implement data quality checks and data governance practices to ensure data accuracy, consistency, and compliance with data privacy regulations. MLOps (Added Advantage): Contribute to the implementation of MLOps practices, including model deployment, monitoring, and automation of machine learning workflows. Documentation: Maintain clear and comprehensive documentation for data engineering processes, ELK configurations, machine learning models, visualizations, and deployments. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Bangalore Req ID: 769885

About Yulu Yulu is India’s leading shared micro-mobility platform, revolutionizing urban transportation through smart, sustainable, and electric-first mobility solutions. With a rapidly growing fleet of tech-enabled electric two-wheelers and a robust battery-swapping infrastructure, Yulu makes last-mile commutes not only efficient but also planet-friendly. Our IoT-driven platform and smart electric vehicles are helping cities reduce traffic congestion and carbon emissions while empowering millions with affordable and reliable transportation. Backed by industry giants like Bajaj Auto and Magna International, Yulu operates at the intersection of mobility, technology, and sustainability. Our mission is to reduce congestion, cut emissions, and transform how India moves — one ride at a time. With millions of rides completed, thousands of EVs on the road, and a rapidly expanding footprint, we’re not just building EVs — we’re building the future of urban mobility in India. 🔗 Learn more: www.yulu.bike Role Summary Yulu is looking for a Data Scientist to work on developing and refining statistical models and Machine Learning algorithms to address real-world challenges. You will collaborate with cross-functional teams to identify analytical needs, perform exploratory data analysis, and optimize model performance. The role also involves building and maintaining data pipelines, ensuring data quality, and staying up-to-date with emerging AI/ML technologies. If you are passionate about using data to solve impactful problems and transform urban mobility, join us in our mission to reduce traffic congestion and air pollution! Key Responsibilities Collect, clean, and preprocess data from diverse sources to ensure quality and accuracy. Develop and refine statistical models and Machine Learning (ML) algorithms to solve real-world problems. Collaborate with cross-functional teams (e.g., data engineering, product, and business) to identify and understand analytical needs. Perform exploratory data analysis (EDA) to uncover patterns, trends, and relationships in datasets. Evaluate model performance using appropriate metrics, and iterate to optimize accuracy and efficiency. Document analyses, methodologies, and best practices to maintain clear records for future reference. Stay up-to-date with emerging AI/ML technologies and actively explore new approaches—especially in the areas of deep learning, Generative AI, and Large Language Models (LLMs). Present findings and insights to both technical and non-technical stakeholders in a clear, concise manner. Qualifications Strong grounding in statistics, math, and machine learning Hands-on Python: pandas, NumPy, scikit-learn Comfortable working with data in SQL and/or pandas (joins, windows, groupbys) Clear written and verbal communication Experience with GenAI/LLMs (prompts, embeddings, simple RAG) Visualization: Streamlit, Matplotlib/Seaborn (or Plotly) Operations Research basics: vehicle routing, task assignment (e.g., Hungarian), Job Scheduling Good software habits: Git, environments, basic tests; any cloud/warehouse exposure We assure you Be a part of an innovative company that values professional growth, trustworthy colleagues, a fun environment in the office, and well-being for the employees A culture that fosters growth, integrity, and innovation

Title: Data Scientist / Data Engineer / Machine Learning Engineer Location: Hyderabad / Vizag / Remote Shift: UK Shift – 2:00 PM to 11:00 PM IST Experience: 8+ years Immediate Joiners Preferred Job Summary We are seeking a highly skilled Data Scientist / Data Engineer / Machine Learning Engineer with strong expertise in Data Robot , Azure AI , Azure Infrastructure , Python , and Machine Learning . This role will be responsible for solving complex business problems using advanced statistical modeling, AI/ML algorithms, and big data technologies. Key Responsibilities Lead data mining and extraction activities; apply algorithms to derive actionable insights. Understand data profiles, limitations, and apply findings to business solutions. Collaborate with cross-functional teams to drive innovation and improve performance. Explore and analyze data patterns using modern data science tools. Translate business requirements into effective data science deliverables. Develop and implement robust, scalable data products and AI/ML models. Apply best practices in AI/ML projects, ensuring scalability and operational efficiency. Required Qualifications 8+ years of experience in Data Science, AI, and Machine Learning. Proven experience with Data Robot , Azure AI , and Azure Infrastructure . Strong skills in Python and Big Data technologies . Experience with end-to-end ML deployments and migrations . Proficiency in advanced SQL across multiple syntaxes. Bachelor’s degree in Statistics, Mathematics, Computer Science, or related field. Strong communication skills and ability to work independently. Expertise in statistical modeling, model evaluation, tuning, and scalability. Preferred Skills Ability to work in fast-paced environments with minimal supervision. Knowledge of software engineering principles. Strong analytical and problem-solving mindset. Apply Now Send your resume to: nivetha.br@applogiq.org Call us at: +91 96003 77933 Job Type: Full-time Work Location: In person

Role: Data Scientist – Credit & Risk Analytics (2 Years Exp.) Job Summary: We are looking for a hands-on Data Scientist with 2+ years of experience to join our fast- growing NBFC. You’ll play a critical role in developing models and data-driven systems that drive credit underwriting, collections strategy, portfolio monitoring, and fraud risk detection. You will work closely with product, credit, risk, and technology teams to design, build, and deploy analytics solutions in a lean, entrepreneurial environment. Education: Bachelor or above in Engineering / Mathematics /Statistics/ Computer Application Experience: Minimum 2 years of experience in below items: Projects: Statistical Model building, validation and improving Tools: SQL and Python Technology: Cloud based platforms like Azure, Distributed database like HDFS Key Responsibilities: 1. Credit & Risk Modeling : a. Build and maintain credit scorecards, risk-based pricing models, and early warning systems. b. Design segmentation and behavioral models using repayment, bureau, and alternate data. c. Develop PD/EAD/LGD models for Expected Credit Loss (ECL) provisioning. 2. Business Intelligence & Monitoring: a. Create and maintain dashboards on loan performance, delinquency trends, collections efficiency, and customer funnel metrics. b. Build daily/monthly MI reports and KPI trackers for business & risk committees. 3. Data Engineering & Automation a. Write efficient SQL/Python code to clean, transform, and merge data from multiple systems (LMS, CRM, Collections, Bureau). b. Work with tech to integrate ML models into production APIs or workflows. 4. Strategy & Decision Support: a. Support credit policy formulation by analyzing bureau trends, customer behavior, and campaign responses. b. Analyze collections efficiency, field executive performance, and provide actionable insights. 5. Documentation & Governance: a. Maintain thorough documentation for models, assumptions, data sources, and limitations. b. Ensure model governance, versioning, and reproducibility. Required Skills & Experience: 1. 2+ years of hands-on experience in a data science or risk analytics role (preferably in BFSI/NBFC/Fintech). 2. Strong programming skills in Python, SQL, and data visualization tools (Power BI/Tableau). 3. Knowledge of credit bureau data, DPD buckets, underwriting rules, and NBFC compliance requirements. 4. Experience working with structured datasets from LOS/LMS, CRM, and field collections data. 5. Strong analytical thinking, attention to detail and presentation skills. Job Type: Full-time Pay: ₹30,000.00 - ₹50,000.00 per month Ability to commute/relocate: Kochi, Kerala: Reliably commute or willing to relocate with an employer-provided relocation package (Preferred) Application Question(s): which industry have you worked for as a data scientist? Current CTC? Notice Period? Experience: Data science: 3 years (Preferred) Python: 3 years (Preferred) Work Location: In person

Chicmic Studios Job Role: Data Scientist Experience Required: 3+ Years Skills Required: Data Science, Python, Pandas, Matplotlibs Job Description: We are seeking a Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus. Roles & Duties: Analyze and process large datasets using Python and Pandas. Develop and optimize machine learning models for predictive analytics. Create data visualizations using Matplotlib and Seaborn to support decision-making. Perform data cleaning, feature engineering, and statistical analysis. Work with structured and unstructured data to extract meaningful insights. Implement and fine-tune NER models for specific use cases (if required). Collaborate with cross-functional teams to drive data-driven solutions Required Skills & Qualifications: Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.). Experience in data analysis, statistical modeling, and machine learning. Hands-on expertise in data visualization using Matplotlib and Seaborn. Understanding of SQL and database querying. Familiarity with NLP techniques and NER models is a plus. Strong problem-solving and analytical skills. Contact: 9875952836 Office Address: F273, Phase 8B industrial Area, Mohali, Punjab. Job Type: Full-time Education: Bachelor's (Required) Experience: Data science: 2 years (Required) Work Location: In person