5534 Data Science Jobs - Page 30

Short Description: We are seeking a highly skilled and experienced Product Team Technical Supervisor to lead one of our key product teams within the Industrial System Analytics (ISA) product group, focusing on Design Cost & Complexity. This role reports directly to the Product Line Owner and is critical for driving the development and delivery of cloud-native analytical solutions that integrate robust software engineering with advanced data science capabilities. Description: The successful candidate will lead a multidisciplinary team comprising Software Engineers, Data Scientists, Product Managers, Designers, and Technical Anchors. This position requires a strong technical background in software development, a solid understanding of data science principles, and proven leadership capabilities to guide a diverse team in delivering innovative and impactful products from concept to production. Responsibilities: As the Product Team Supervisor, you will be responsible for: Team Leadership & Management: Directly manage and mentor a product team of approximately 10 individuals across various disciplines including Software Engineering, Data Science, Product Management, Design, and Technical Anchoring. Foster a high-performing team culture, providing coaching, career development guidance, and performance management to optimize individual and team contributions. Ensure the team is well-supported, identifying and addressing impediments to productivity and flow. Technical Product Ownership & Delivery: Provide hands-on technical leadership, guiding the team in architectural design, software development best practices, and the implementation of scalable, reliable, and performant cloud-native applications. Oversee the entire product development lifecycle, from Proof-of-Concept (POC) to production-ready solutions, ensuring robust engineering and timely delivery. Collaborate with Product Managers to translate business requirements into technical specifications, prioritize backlogs, and ensure delivered software aligns with desired business outcomes. Champion code quality, participate in technical reviews, and ensure adherence to engineering standards and security protocols. Software & Data Integration: Partner closely with Data Scientist colleagues to integrate advanced analytics, machine learning models, and data-driven insights into product solutions. Work with Data Factory teams to establish efficient data ingestion pipelines and support the creation of valuable data products. Drive the exploration and implementation of emerging technologies such as Generative AI (Gen AI) and Large Language Models (LLMs) to enhance product capabilities and foster innovation. Ensure MLOps principles are applied for the effective deployment and management of machine learning components within products. Process Optimization & Collaboration: Promote and enforce Agile software development methodologies, Product Development Organization (PDO) models, and DevSecOps practices (CI/CD, TDD, etc.) to maximize efficiency and quality. Facilitate regular governance ceremonies, track flow metrics, and leverage data to inform decision-making and continuous improvement. Identify and resolve technical blockers, manage dependencies, and orchestrate cross-functional collaboration across product groups and internal teams. Build strong relationships with peer Product Line Managers, Data Science partners, and Chief Architects to identify emerging foundational product needs and drive cross-functional integration. Qualifications: Experience: 10+ years of progressive experience in software delivery and product development roles. 5+ years of experience in a leadership role managing software engineering and/or data engineering teams. Demonstrated track record of successfully leading and delivering complex products with integrated software, machine learning, and data components. Proven ability to operate effectively and deliver results in ambiguous and rapidly evolving business environments. Technical Skills: Strong technical proficiency in programming languages such as Java, Python, and JavaScript, including experience with relevant frameworks (e.g., Spring, Node.js, React, Angular). Deep expertise in cloud platforms, with significant experience in Google Cloud Platform (GCP) services (e.g., BigQuery, GCS, Dataflow, Dataproc). Solid understanding of system architecture principles, microservices, APIs, and experience in designing and deploying cloud-native applications. Familiarity with MLOps concepts and experience integrating data science models into production systems. Understanding of Generative AI (Gen AI) and Large Language Models (LLMs) with a demonstrated interest in their practical application. Methodologies & Tools: Comprehensive understanding and practical application of Agile and PDO methodologies. Experience with DevSecOps practices and tools (e.g., CI/CD pipelines, Docker, Kubernetes, GitHub, Jira). Leadership & Soft Skills: Exceptional interpersonal, communication, and negotiation skills, with the ability to build strong relationships and influence stakeholders at all levels. Demonstrated ability to lead, mentor, and motivate diverse technical teams. Strong problem-solving abilities, adaptability, and the capacity to manage multiple priorities in a fast-paced environment. Education: bachelors degree in computer science, Computer Engineering, or a closely related technical field. Google Cloud Platform certifications (e.g., Google Digital Leader) are preferred.

As a Senior AI Engineer (Tech Lead) at EY, you will have the opportunity to leverage your technical expertise to develop and implement cutting-edge AI solutions. With a minimum of 4 years of experience in Data Science and Machine Learning, including NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture, you will play a crucial role in driving innovation and creating impactful solutions for enterprise industry use cases. Your responsibilities will include contributing to the design and implementation of state-of-the-art AI solutions, leading a team of 4-6 developers, and collaborating with stakeholders to identify business opportunities and define AI project goals. You will stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. By utilizing generative AI techniques, such as LLMs and Agentic Framework, you will develop innovative solutions tailored to specific business requirements. Your role will also involve integrating with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to enhance generative AI capabilities. Additionally, you will be responsible for implementing and optimizing end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Your expertise in data engineering, DevOps, and MLOps practices will be valuable in curating, cleaning, and preprocessing large-scale datasets for generative AI applications. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, and demonstrate proficiency in Python, Data Science, Machine Learning, OCR, and document intelligence. Strong collaboration with software engineering and operations teams, along with excellent problem-solving and analytical skills, will be essential in translating business requirements into technical solutions. Moreover, your familiarity with trusted AI practices, data privacy, security, and ethical considerations will ensure the fairness, transparency, and accountability of AI models and systems. Additionally, having a solid understanding of NLP techniques, frameworks like TensorFlow or PyTorch, and cloud platforms such as Azure, AWS, or GCP will be beneficial in deploying AI solutions in a cloud environment. Proficiency in designing or interacting with agent-based AI architectures, implementing optimization tools and techniques, and driving DevOps and MLOps practices will also be advantageous in enhancing the performance and efficiency of AI models. Join EY to build an exceptional experience for yourself and contribute to creating a better working world for all through the power of AI and technology.,

As a Data Scientist at Clari5.ai, you will be an integral part of our specialist team dedicated to Artificial Intelligence & Machine Learning. Your role involves defining, prototyping, and implementing data science models and algorithms that contribute to our innovative product. From data collection to model building to monitoring the model in production, you will take ownership of the entire process. Collaborating with product managers and domain experts, you will drive the business outcomes and metrics influenced by the data science solutions. Working closely with the product managers and engineering team, you will establish best practices and standards for the team. Additionally, you will have the opportunity to mentor junior colleagues and conduct internal workshops to foster a culture of data-driven decision making within the organization. To excel in this role, you should have 3-8 years of experience in model building, along with a strong foundation in mathematics relevant to data science such as probability, statistics, and linear algebra. Your ability to translate business challenges into technical problems solvable through data, mathematics, statistics, and machine learning is crucial. Previous experience in executing 2-3 end-to-end machine learning projects is essential. Proficiency in either R or Python is a must, coupled with hands-on experience working with SQL databases. Familiarity with handling large datasets from diverse sources is advantageous, as is a conceptual understanding of big data technologies like Hadoop, HDFS, and Spark. Prior exposure to Natural Language Processing, Recommender Systems, or Social Network Analysis will be highly valued. In terms of education, a Bachelor's degree or equivalent combination of education with at least 3 years of experience is required. A Bachelor's degree in Computer Science or a Master's in Mathematics/Statistics is preferred. Join us at Clari5, an industry leader in Financial Crime Risk Management Systems, recognized for our innovative solutions and expertise in combating financial fraud. Be part of a dynamic global team driving real-time, cross-channel banking Enterprise Fraud Management using cutting-edge AI technology. If you are passionate about data science and eager to contribute to a market-leading organization, we invite you to apply and become a key player in our mission to revolutionize fraud management strategies worldwide.,

As a Data Science Faculty at Infinity Learning Lab, you will have the opportunity to be part of a passionate team dedicated to empowering the next generation of innovators and problem-solvers. Located in Kerala, India, with operations in Dubai, we are focused on providing a dynamic learning environment that emphasizes STEAM education (Science, Technology, Engineering, Arts, and Mathematics). Our goal is to inspire curiosity, creativity, and critical thinking in learners of all ages. Our diverse programs cover cutting-edge fields such as Data Science, Junior Robotics, Game Development, Data Analytics, and Practical Accounting. We believe in a hands-on learning approach with real-world applications to ensure that our students not only gain knowledge but also develop the necessary skills to thrive in today's rapidly changing world. You will be part of a team of expert instructors equipped with state-of-the-art technology and a curriculum designed for future readiness. Infinity Learning Lab aims to lay the foundations for tomorrow's leaders and innovators. Whether you are a young learner exploring coding, robotics, or data, or an adult seeking to enhance your skill set, our courses are tailored to prepare you for success in the digital age. We value the idea that learning should have no boundaries, just like the limitless potential of our students. Qualifications & Experience: - A Certification in Data Science/Analytics or related fields from a reputable institute/university. - Demonstrated outstanding research achievements in the field of data science. - Strong track record in teaching, curriculum development, and learning outcome assessment. - Experience in teaching data science and computing courses at the undergraduate level. - Ability to collaborate effectively with colleagues in professional service. - Excellent communication skills in English. - Outstanding interpersonal skills. - Willingness to engage in cross-disciplinary research and teaching collaborations. Please note that only shortlisted candidates will be contacted. Job Type: Full-time Experience: Total work experience of 1 year is preferred. Application Deadline: 09/07/2025,

As a Trader at GMIndia Pvt Ltd, you will play a crucial role in optimizing revenue generation across various financial markets, including traditional finance, decentralized finance (DeFi), forex, equities, commodities, and cryptocurrencies. Your expertise in market trends, algorithmic trading, risk management, and liquidity strategies will be instrumental in driving revenue growth and maximizing trading strategies. Your key responsibilities will include executing trading strategies across multiple markets to ensure consistent profits, developing and implementing algorithmic and discretionary trading strategies leveraging AI and quantitative models, monitoring market movements and identifying arbitrage opportunities, engaging with smart contract-based protocols in DeFi ecosystems, collaborating with tech and data science teams to enhance trading algorithms, managing risk exposure, and staying informed about regulatory changes and market trends. To excel in this role, you should have 3-7+ years of trading experience across multiple markets, strong knowledge of blockchain, DeFi, and smart contracts, proficiency in technical, fundamental & quantitative analysis, and familiarity with DEXs, centralized exchanges & liquidity strategies. Additionally, experience in algorithmic trading & programming (Python, Solidity, Rust) would be a plus. This is a full-time position based in Chennai or Ahmedabad, offering Provident Fund benefits. Join us at GMIndia Pvt Ltd and be part of a dynamic team driving innovation in the financial industry through AI, blockchain, and data-driven strategies.,

Who We Are Verve has created a more efficient and privacy-focused way to buy and monetize advertising. Verve is an ecosystem of demand and supply technologies fusing data, media, and technology together to deliver results and growth to both advertisers and publishersno matter the screen or location, no matter who, what, or where a customer is. With 30 offices across the globe and with an eye on servicing forward-thinking advertising customers, Verves solutions are trusted by more than 90 of the United States top 100 advertisers, 4,000 publishers globally, and the worlds top demand-side platforms. Learn more at www.verve.com. About the Role In this role you will work closely with product, engineering and other teams, collaborate with other Data Science team and with the Machine Learning Engineers to engineer prototypes into solutions. Domain In this role your main focus would be on our Audience generation and insight projects Audience generation: ML for embedded targets, audience privacy first approaches, Composite AI agents, etc.. Audience insight - describe audience composition and characteristics Adhoc analysis - support business request to better understand our data assets when data is not readily available from our BI tools Support sales pitch - provided valuable extra insight to augment the value proposition for key accounts Research and Development Our Data Science role includes the following responsibilities: Research and development of cutting edge Machine Learning systems, models, and schemes in many different areas of Adtech Develop real-time algorithms for audience creation and segmentation Discover insights/patterns in our customers from various data sources such as exchange data, behavioural data, location data, 1 and 3rd party data assets Design experiments, oversee A/B testing, evaluate the quality of derived assets and continuously monitor model performance Create proof of concepts and data science prototypes Search and select appropriate data sets Perform statistical analysis and use results to improve models Identify differences in data distribution that could affect model performance in real-world situations Visualize data for deeper insights Analyze the use cases of ML algorithms and ranking them by their success probability Understanding when your findings can be applied to business decisions Reducing business problems into Machine Learning problems and opportunities Verifying data quality Collaborative Work Work closely with product, engineering, and sales teams to drive the use of Data Science across the Verve Group Collaborate with our Exchange Data Science team Collaborate with Machine Learning Engineers to engineer prototypes into solutions What You will bring 8+ years experience working as a Data Scientist in industry (preferably in advertising) is a must A postgraduate degree in a relevant quantitative field (e.g. applied mathematics, statistics, engineering, computer science, physics, operations research, economics, behavioral sciences). PhD is a strong plus, Fluent in statistical analysis, data mining, and machine learning, Proficient in Python, SQL, PySpark, TensorFlow (TfLite), Sklearn, Keras and Pytorch Enthusiasm for solving interesting problems, Willingness to learn and work in a team-oriented and constantly changing environment. Nice to have Previous experience in Audience creation and insight, (Highly imbalanced) classification problems, Data asset identification to feature engineering, Classification and neural network Regularisation, Feature selection, and hyperparameter tuning What we also work with We work with a wide range of tools, technologies and processes. The right candidate should have willingness to learn new technologies. In this role is you will get hands-on experience with many established and emerging technologies: Framework: Metaflow (or similar), Modeling framework: Tensorflow, Keras, pyTorch Hyperparameter tuning framework: HyperOpt, Keras_tuner, .. MlFlow, Technologies: GCP and/or AWS (e.g. logExplorer, Cloud function, Cloud scheduler), BigQuery, DevOps tooling: Airflow (or similar), Grafana (or similar), Jupyterhub (or similar) Other: Challenging constraints (Sparse data assets, Privacy first constraints,, low latency for inferences), Efficient work with Big Data (wrangling, modeling, low latency inference, shuffling issue), Developing data-driven products. WHAT WE OFFER Be part of a multicultural team that is bringing advertising to the next level You will learn and evolve in an empowering environment characterized by entrepreneurial actions Responsibility, independence, and an opportunity to participate in projects that have a significant impact on Verves success 3 Wellness days per year (in Q1, Q2 & Q3) and Employee Assistance Program to help you maintain your well-being Enhance your professional skills with a yearly training budget and improve your language skills through German and/or English classes Work and Travel Program (monthly raffle after 2 years of employment) We are eager to build a great team together and we appreciate your help through our Employee Referral Bonus Align your interests with the company's success and take part in our Employee Shares Purchase Plan You will be entitled to 19 holidays per year in addition to any of the public/bank holidays Personalized Benefits Platform; with a budget of 4100 INR/month, you can choose the benefits that fit you best from the following options: Mobility and travel Entertainment and food Fitness and healthcare Enjoy food and beverage benefits with colleagues and have fun during team events Medical insurance for self and family Verve provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Role & responsibilities 1.Programming Languages 2.Machine Learning & Deep Learning 3.Natural Language Processing (NLP) 5. Data Engineering & Analytics 6.AI Model Deployment

Data Scientist Work from office only Location - Coimbatore Must Have - Coding : Python , Pyspark Framework : Tensorflow, SK learn, Pytorch, Tflite General : Machine learning,Deep learning , Databricks : DLT and sparkML If Interested, Kindly share the updated CV at tanuja@symbiosisindia.net

Objective We are seeking a highly driven data science and analytics professional with 6-9 years of experience in leading AI/ML, credit strategy, product automation, and analytics delivery across financial services. Demonstrated expertise in building end-to-end customer-level scoring frameworks, driving business transformation through data, onboarding alternative data providers and delivering high-visibility projects Roles & Responsibilities: Develop machine learning and rule-based credit scorecards for secured and unsecured loans. Strong command over PySpark, Python, and SQL for large-scale data processing, data engineering and analytics. Built segmentation, eligibility models, and monitoring dashboards. Possess deep expertise in bureau data interpretation. Applied bureau insights across credit policy design, risk assessment, cross-sell targeting, underwriting strategies and others Lead data-driven campaign analytics across products by integrating bureau, app journey, and other data sources. Develop cross-sell and upsell strategies through precise segmentation and automation. Build lead scoring and prioritization logic to improve targeting and conversion. Built automated collections dashboards by integrating LMS and collections systems to track key KPIs. Partner with the data engineering team to streamline access to high-volume datasets from Big Data. Drive scalable solutions using PySpark, pandas, and cloud tools for data wrangling and ML training Built scalable data pipelines to aggregate internal and external data sources. Design automated daily MIS reporting pipelines across various product journeys. Collaborate with product, risk, and tech teams to launch AI-driven initiatives Knowledge & Skills: Experience: 3-5 years in lending, credit analytics, and financial data science. Languages & Tools: Python, PySpark, SQL, Looker Studio, Power BI. Data Expertise: Deep understanding of credit bureau data, banking data, customer segmentation, and data platform architecture. Process Knowledge: Familiarity with credit policy design, loan lifecycle MIS, and external vendor integrations. Innovation: Exposure to GenAI tools and use cases in financial services is a plus. Communication: Strong skills in storytelling, requirement gathering, and documentation. Dashboarding: Experience with dashboard creation in Power BI / Looker Studio (basic to intermediate proficiency). Role & responsibilities

Who are you 2+ years of professional data engineering experienceSomeone who spends time thinking about business insights as much as they do on engineeringIs a self-starter, and drives initiativesIs excited to pick up AI, and integrate it at various touch pointsYou have strong experience in data analysis, growth marketing, or audience development (media or newsletters Even better). Have an awareness about Athena, Glue, Jupyter, or intent to pick them upYoure comfortable working with tools like Google Analytics, SQL, email marketing platforms (Beehiiv is a plus), and data visualization tools.

The role includes teaching, research, curriculum development aligned with industry needs, training, consultancy, and institutional development activities. Expert in Softwares like Python, SPSS, C++, R, Jamovi, etc Required Candidate profile Ph.D. in the relevant discipline. Minimum 2 years of teaching/research/industry experience. Proficiency in tools/software Excellent analytical, communication, and presentation skills.

Hi, Greetings from Sun Technology Integrators!! This is regarding a job opening with Sun Technology Integrators, Bangalore. Please find below the job description for your reference. Kindly let me know your interest and share your updated CV to nandinis@suntechnologies.com ASAP. Strong background in traditional AI/ML Experience building GenAI chatbots, agents, implementing tools with Gemini or similar vendors Fine tuning experience of LLMs Ability to work with LLM APIs Experience with modern Generative AI development frameworks and tools (LangChain, Vector DBs) Agentic Frameworks (e.g., LangGraph, CrewAI, ). Experience with prompt engineering Experience with RAG architecture Experience in Google Cloud and Vertex AI Experienced with Python Please let me know, if any of your friends are looking for a job change. Kindly share the references. Please Note: WFO- Work From Office (No hybrid or Work From Home) Shift Details: IST Shift - 12.30 PM to 9.30 PM IST -2 ways free cab facility(Pickup+Drop) Years of Exp-5 to 10 years Interview Mode- 2 rounds Virtual interview Thanks and Regards, Nandini S | Sr.Technical Recruiter Sun Technology Integrators Pvt. Ltd. nandinis@suntechnologies.com www.suntechnologies.com

Full Time Role at EssentiallySports for Data Growth EngineerEssentiallySports is the home for the underserved fan, delivering storytelling that goes beyond the headlines. As a media platform, we combine deep audience insights with cultural trends, to meet fandom where it lives and where it goes next. ValuesFocus on the user and all else will followHire for Intent and not for ExperienceBootstrapping gives you the freedom to serve the customer and the team instead of investorInternet and Technology untap the nichesAction oriented, integrity, freedom, strong communicators, and responsibilityAll things equal, one with high agency winsEssentiallySports is a top 10 sports media platform in the U. S. , generating over a billion pageviews a year and 30m+ monthly active users per month. This massive traffic fuels our data-driven culture, allowing us to build owned audiences at scale through organic growth—a model we take pride in, with zero CAC. The next phase of ES growth is around newsletter initiative, in less than 9 months, we’ve built a robust newsletter brand with 700,000+ highly engaged readers and impressive performance metrics:5 newsletter brands700k+ subscribersOpen rates of 40%-46%. The role is for a data engineer with growth and business acumen, in the “permissionless growth” team. Someone who can connect the pipelines of millions of users, but at the same time knit a story of the how and why. ResponsibilitiesOwning Data Pipeline from Web to Athena to Email, end-to-endYou’ll make the key decisions and see them through to successful user sign upUse Data Science to find real insights, which translates to user engagementPushing changes every week dayPersonalization at Scale: Leverage fan behavior data to tailor content and improve lifetime value. Who are you?2+ years of professional data engineering experienceSomeone who spends time thinking about business insights as much as they do on engineeringIs a self-starter, and drives initiativesIs excited to pick up AI, and integrate it at various touch pointsYou have strong experience in data analysis, growth marketing, or audience development (media or newsletters? Even better). Have an awareness about Athena, Glue, Jupyter, or intent to pick them upYou’re comfortable working with tools like Google Analytics, SQL, email marketing platforms (Beehiiv is a plus), and data visualization tools. Collaborative and want to see the team succeed in its goalsProblem solving, proactive and solution oriented mindset, to spot opportunities and translate into real growthAbility to thrive in startups with a fast-paced environment and take ownership for working through ambiguityExcited to join a lean team in a big company that moves quickly

Job Title: Data Scientist Turning Data into Decisions Location: Bengaluru | Experience: 25 Years | Type: Full-Time About the Role: Are you passionate about predicting the future with data? Do you thrive on uncovering patterns hidden in time series and driving impactful business decisions? We’re looking for a Data Scientist who’s part analyst, part engineer, and 100% curious. What You’ll Do: Forecast demand like a pro Optimize supply chains and uncover hidden trends Build smart ML models using Python, TensorFlow, or PyTorch Turn messy data into clear, actionable insight Collaborate with teams and tell compelling stories through dashboards Tech Toolkit: Time Series | Regression & A/B Testing Python | NumPy, Pandas, scikit-learn Tableau / Plotly / Matplotlib SQL | ETL Pipelines You’re a Perfect Fit If: You have 2+ years of hands-on Data Science experience You think in models and breathe in data You’re a storyteller with code and charts You love solving problems that make businesses smarter.

AWS certification would be a good filter for us to prioritize candidate AWS Infra-Set-up/ Compute IAM / Security/Governance Data Movement (S3 Direct , AWS Datasync) ML Ops Data Science Services Orchestration Cost Optimization Primary Skills Machine Learning CI/CD Pipelines Devops Secondary Skills Good Communication

Position level: AI Specialist/Software engineering professional (Cant be a junior/fresher, needs to be middle to senior level person) Work Experience: Ideally, 4 to 5 years of working as a Data Scientist / Machine Learning and AI at a managerial position (end-to-end project responsibility). Slightly lower work experience can be considered based on the skill level of the candidate. About the job: Use AI-ML to work with data to predict process behaviors. Stay abreast of industry trends, emerging technologies, and best practices in data science, and provide recommendations for adopting innovative approaches within the product teams. In addition, championing a data-driven culture, promoting best practices, knowledge sharing, and collaborative problem-solving. Abilities: Knowledge about data analysis, Artificial Intelligence (AI), Machine Learning (ML), and preparation of test reports to show results of tests. Strong in communication with a collaborative attitude, not afraid to take responsibility and make decisions, open to new learning, and adapt. Experience with end-to-end process and used to make result presentation to customers. Technical Requirements: Experience working with real world messy data (time series, sensors, etc.) Familiarity with Machine learning and statistical modelling Ability to interpret model results in business context Knowledge of Data preprocessing (feature engineering, outlier handling, etc.) Soft Skill Requirements: Analytical thinking Ability to connect results to business or process understanding Communication skills Comfortable explaining complex topics to stakeholders Structured problem solving – Able to define and execute a structured way to reach results Autonomous working style – can drive a small project or parts of a project Tool Knowledge: Programming: Python (Common core libraries: pandas, numpy, scikit-learn, matplotlib, mlfow etc.); Knowledge of best practices (PEP8, code structure, testing, etc.) Code versioning (GIT) Data Handling: SQL; Understanding of data format (CSV, JSON, Parquet); Familiarity with time series data handling Infrastructure: Basic Cloud technology knowledge (Azure (preferred), AWS, GCP); Basic Knowledge of MLOps workflow Good to have: Knowledge of Azure ML, AWS SageMaker; Knowledge of MLOps best practices in any tool; Containerization and deployment (Docker, Kubernetes) Languages: English – Proficient/Fluent Location: Hybrid (WFO+WFH) + Availability to visit customer sites for meetings and work-related responsibilities as per the project requirement.

Date 11 Jul 2025 Location: Gurgaon, HR, IN Company Alstom At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Your future role Take on a new challenge and apply your comprehensive DevOps expertise in a new cutting-edge field. Youll work alongside innovative, collaborative, and forward-thinking teammates. You'll own the entire DevOps lifecycle of our products, ensuring smooth code integration with CI/CD, optimizing release management processes, and automating and managing deployment environments. Day-to-day, youll work closely with teams across the business (IoT experts, data scientists, software engineers, and data architects), standardize software development release management processes, and much more. Youll specifically take care of creating a well-informed cloud strategy and managing the adaption process, but also provide technical support and guidance to our users. Well look to you for: Ensuring smooth code integration with CI/CD pipelines Optimizing release management and automating deployment environments Creating and managing a cloud strategy (Azure and on-premise) Standardizing the software development release management process Troubleshooting and providing technical support and guidance Writing and maintaining technical documentation Guiding users on best practices for container-based applications All about you We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role: A Bachelor's or Masters degree in computer science & information systems or related engineering A strong background in DevOps with hands-on configuration and deployment Knowledge of Ansible, Terraform, Python, and scripting (PowerShell/Python/Bash) Familiarity with containerization technologies such as Docker and Kubernetes (CKA certification is a plus) Experience with Azure cloud-based provisioning, deployment, and monitoring Understanding of platform security best practices Proficiency in source control/configuration management including Git, and GitLab; familiarity with Azure DevOps and Visual Studio Code is a plus Collaborative spirit with proven capabilities in working with international teams Experience in working with data engineering and data science teams is a plus Things youll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. Youll also: Enjoy stability, challenges and a long-term career free from boring daily routines Work with new security standards for rail signalling Collaborate with transverse teams and helpful colleagues Contribute to innovative projects Utilise our agile and flexible working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your development, through award-winning learning Progress towards leadership and advanced technical roles Benefit from a fair and dynamic reward package that recognises your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension) You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, youll be proud. If youre up for the challenge, wed love to hear from you!

Date 10 Jul 2025 Location: Bangalore, KA, IN Company Alstom At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Your future role Take on a new challenge and apply your data science expertise in a cutting-edge field. Youll work alongside innovative and collaborative teammates. You'll play a key role in shaping Alstoms next-generation data-driven solutions for the mobility industry. Day-to-day, youll work closely with teams across the business (engineering experts, data engineers, DevOps/MLOps engineers, and HMI designers), develop machine learning models, and contribute to the development of proof-of-concept applications in maintenance, operations, energy, and city flow domains. Youll specifically take care of extracting key insights from mobility data using advanced tools and techniques, but also contribute to building AI/ML software modules to enhance customer performance and experience. Well look to you for: Designing and developing data-driven solutions, integrating engineering aspects and evaluating financial impacts Implementing feature selection/extraction methods to improve ML models and derive interpretable insights Building and optimizing machine learning models, including supervised and unsupervised approaches Assessing and enhancing the quality of incoming data and model outputs using appropriate evaluation metrics Collaborating with domain experts to define and meet business requirements Creating reports and explanatory materials to communicate insights effectively Evaluating opportunities from emerging mathematical approaches and data science technologies Applying strong testing and quality assurance practices All about you We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role: Degree in computer science or engineering, supplemented by training in data science/ML or related disciplines Excellent knowledge of Python programming Understanding of modern statistics, including time-series and signal processing, text mining, or image processing Experience with Python data science stack (e.g., pandas, scikit-learn, keras, numpy, tensorflow) Strong knowledge of artificial intelligence and machine learning algorithms (e.g., classification, regression, dimensionality reduction, neural networks, deep learning) Experience in building and optimizing supervised and unsupervised ML models Experience with database management (SQL, ElasticSearch, etc.) Proficiency in a LINUX environment (shell scripting) [OptionalExperience in PHM, predictive maintenance, traffic modelling, NLP, video analytics, or sequence mining] [OptionalFamiliarity with Git and release management] Things youll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. Youll also: Enjoy stability, challenges and a long-term career free from boring daily routines Work with cutting-edge technologies to revolutionize digital mobility Collaborate with cross-functional teams and supportive colleagues Contribute to innovative projects in the mobility domain Utilise our flexible and inclusive working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your development, through award-winning learning programs Progress towards leadership or technical expert roles Benefit from a fair and dynamic reward package that recognizes your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension) You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, youll be proud. If youre up for the challenge, wed love to hear from you! Important to note As a global business, were an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. Were committed to creating an inclusive workplace for everyone.

Dear Candidate, This is with reference for Opportunity for Tech Lead - GCP AI (Gemini) professionals PFB the JD Responsibilities: Lead the development and implementation of AI-driven solutions using GCP services and Gemini technologies. Collaborate with stakeholders to understand business requirements and translate them into scalable, secure technical solutions. Design and optimize AI architectures for performance, reliability, and cost-effectiveness. Establish best practices for AI model development, deployment, and monitoring. Ensure compliance with ethical AI principles, data governance, and security standards. Provide technical leadership and mentorship to cross-functional teams, including data scientists and engineers. Stay updated with emerging trends in AI and cloud technologies, particularly within the GCP ecosystem. Troubleshoot and resolve complex technical issues related to AI systems. Document architectural designs, technical decisions, and best practices for future reference. Eligibility Criteria: Bachelors or masters degree in computer science, Data Science, or a related field. Extensive experience with GCP AI services and Gemini technologies. Strong understanding of AIarchitecture, machine learning, and optimization techniques. Proficiency in programming languages such as Python, Java, or similar. Experience with cloud-based AI solutions and MLOps practices is a plus. Familiarity with ethical AI principles and frameworks. Knowledge of data governance,compliance standards, and security protocols. Excellent problem-solving and analytical skills. Proven leadership and team management abilities. Ability to work in a fast-paced environment and manage multiple priorities. Skill - Tech Architect - GCP AI (Gemini) Location - Pune/Bangalore

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing. Must have skills : Google Cloud Machine Learning Services Good to have skills : Google Pub/Sub, GCP Dataflow, Google DataprocMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence to enhance performance and efficiency. Your typical day will involve collaborating with cross-functional teams to design and implement innovative solutions, utilizing advanced technologies such as deep learning and natural language processing. You will also be responsible for analyzing data and refining algorithms to ensure optimal functionality and user experience, while continuously exploring new methodologies to drive improvements in AI applications. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the design and development of AI-driven applications to meet project requirements.- Collaborate with team members to troubleshoot and resolve technical challenges. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Machine Learning Services.- Good To Have Skills: Experience with GCP Dataflow, Google Pub/Sub, Google Dataproc.- Strong understanding of machine learning frameworks and libraries.- Experience in deploying machine learning models in cloud environments.- Familiarity with data preprocessing and feature engineering techniques. Additional Information:- The candidate should have minimum 2 years of experience in Google Cloud Machine Learning Services.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Skill required: Marketing Operations - Marketing Automation & Technology Execution Designation: Marketing Platform Auto Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do We are seeking a talented and motivated AI Developer to join our dynamic team. As an AI Developer, you will be responsible for developing, implementing, and optimizing AI models and algorithms to solve complex business challenges. You will work closely with cross-functional teams to design intelligent solutions that scale and meet the needs of our projects. What are we looking for Develop AI Models:Design and build machine learning, deep learning, and NLP models to automate business processes and enhance decision-making. Data Processing:Collect, clean, and preprocess data to ensure it is ready for training AI models. Model Optimization:Tune and optimize models to improve performance and scalability. Collaborate with Teams:Work closely with data scientists, engineers, and product managers to define and implement AI solutions. AI Research:Stay updated with the latest trends in artificial intelligence and machine learning and apply state-of-the-art techniques in your work. Deploy AI Solutions:Work on integrating AI models into production systems and ensure they work seamlessly. Testing & Validation:Conduct thorough testing of AI models to ensure they are accurate, efficient, and robust. Documentation:Maintain detailed documentation for AI algorithms, processes, and code. Education:Bachelors or masters degree in computer science, Data Science, AI, Machine Learning, or a related field. Experience:Proven experience (2+ years) in developing and deploying AI models. Programming Languages:Proficient in Python, with experience in AI/ML libraries such as TensorFlow, Keras, PyTorch, Scikit-learn, or similar. Backend framework like Django/Flask. Machine Learning:Strong understanding of machine learning algorithms and frameworks. Data Handling:Experience with data manipulation and preprocessing using libraries like Pandas, NumPy, etc. Deep Learning:Familiarity with neural networks, CNNs, RNNs, and other deep learning architectures. Cloud Platforms:Experience with cloud services like AWS, GCP, or Azure for deploying AI models. Database Knowledge:Knowledge of SQL, NoSQL databases, and data storage solutions. Version Control:Proficiency in Git for version control and collaboration. Problem-Solving:Excellent problem-solving and analytical skills. Roles and Responsibilities: In this role you are required to do analysis and solving of lower-complexity problems Your day to day interaction is with peers within Accenture before updating supervisors In this role you may have limited exposure with clients and/or Accenture management You will be given moderate level instruction on daily work tasks and detailed instructions on new assignments The decisions you make impact your own work and may impact the work of others You will be an individual contributor as a part of a team, with a focused scope of work Please note that this role may require you to work in rotational shiftsStrong communication skills to explain complex AI concepts to non-technical stakeholders. Ability to work in a fast-paced, collaborative environment. Eagerness to learn and stay updated with new AI technologies and industry trends. Qualification Any Graduation

Job Title Data & AI Telecom Analytics Level 9 - S&C Global Network CMT Management Level:9 Consultant Location:Bangalore/Gurgaon/Hyderabad/Mumbai Must have skills: Data Science, Predictive Analytics, Model building, Model Production, Data Analysis, Data Visualization, Storytelling, Communication, Teamwork Good to have skills: Vertex AI, GEN AI, LLMs, RAGs Accenture Strategy & Consulting Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition As part of our Data & AI practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. About Comms & Media practice within Strategy & Consulting: Comms & Media (C&M) is one of the Industry Practices within Accentures S&C Global Network team. It focuses in serving clients across specific Industries Communications, Media & Entertainment. Communications Focuses primarily on industries related with telecommunications and information & communication technology (ICT). This team serves most of the worlds leading wireline, wireless, cable and satellite communications and service providers Media & Entertainment Focuses on industries like broadcast, entertainment, print and publishing Globally, Accenture Comms & Media practice works to develop value growth strategies for its clients and infuse AI & GenAI to help deliver top their business imperatives i.e., revenue growth & cost reduction. From multi-year Data & AI transformation projects to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen solutions and industry practices. Roles & ResponsibilitiesA Telco domain experienced and data science consultant is responsible to help the clients with designing & delivering AI solutions. He/she should be strong in Telco domain, AI fundamentals and should have good hands-on experience working with the following: Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL. Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client. Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem. Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements and be able to inform the best approach to the problem. Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project. Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date. Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues. Partner with clients to understand end clients business goals, marketing objectives, and competitive constraints. Storytelling Crunch the data & numbers to craft a story to be presented to senior client stakeholders. Should be able to travel or relocate to Japan as per business requirement. Professional & Technical Skills: Overall 5+ years of experience in Data Science & at least 3 years in Telecom Analytics Masters (MBA/MSc/MTech) from a Tier 1/Tier 2 and Engineering from Tier 1 school Demonstrated experience in solving real-world data problems through Data & AI Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing roles. Proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc. Execution level understanding of econometric/statistical modeling packages Traditional techniques like Linear/logistic regression, multivariate statistical analysis, time series techniques, fixed/Random effect modelling. Machine learning techniques like - Random Forest, Gradient Boosting, XG boost, decision trees, clustering etc. Knowledge of Deep learning modeling techniques like RNN, CNN etc. Experience using digital & statistical modeling software (one or more) Python, R, PySpark, SQL, BigQuery, Vertex AI Proficient in Excel, MS word, Power point, and corporate soft skills Knowledge of Dashboard creation platforms Excel, tableau, Power BI etc. Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders. Strong analytical, problem-solving skills and good communication skills Self-Starter with ability to work independently across multiple projects and set priorities Strong team player Proactive and solution oriented, able to guide junior team members. Execution knowledge of optimization techniques is a good-to-have Exact optimization Linear, Non-linear optimization techniques Evolutionary optimization Both population and search-based algorithms Cloud platform Certification, experience in Computer Vision are good-to-haves About Our Company | Accenture Qualification Experience: Minimum 5+ year(s) of experience is required Educational Qualification: Masters (MBA/MSc/MTech) from a Tier 1/Tier 2 and Engineering from Tier 1 school

At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly! Bring passion and dedication to your job and theres no telling what you could accomplish! The AppleCare Digital team is looking for a Design and Experimentation Analyst to drive data-informed decision-making as we evolve our digital support products portfolio. This role will play a key part in enhancing customer journeys, boosting engagement, and delivering smooth digital support experiences. We are seeking an analytical thinker with superb communication skills, strong business intuition, and passion for translating complex data into actionable insights. We seek a self-starter, who is willing to adapt well to changing requirements and work with multi-functional teams. Description - Shape product features and roadmap: Collaborate closely with designers and product owners to translate data insights into actionable recommendations that shape product features and influence the product roadmap - Drive data-informed design decisions: Analyze user behavior data and conduct A/B tests to find opportunities for improving product and website user experience across platforms - Uncover deep user insights: Perform detailed analysis on user interactions, engagement, and usability for digital experiences, building behavioral insights to anticipate user needs and curate frictionless customer experiences - Curate and conduct rigorous A/B testing: Design and implement A/B tests to experiment with design variations, objectively grounding decisions in real user behavior and analytics - Analyze and interpret results: Extract actionable insights from experiment data, presenting findings and recommendations to multi-functional teams in a clear and compelling manner - Champion a culture of experimentation: Promote data-driven decision-making and continuous optimization throughout the organization - Stay ahead of the curve: Stay up-to-date with industry trends, emerging technologies, and best practices in digital analytics, proactively finding opportunities for innovation and improvement. Minimum Qualifications 6+ years of industry experience in Data Analytics or similar role Experience in converting ambiguous user behavior or business questions into data-driven hypotheses and measurable outcomes Experience with using SQL to mine and analyze data Expertise in experimentation methods (eg. A/B testing, multivariate testing) and statistical analysis Familiarity with UX metrics and behavioral analysis to support design decision-making Experience in navigating through complex organizational structures and influencing business partners and stakeholders in decision making Preferred Qualifications Advanced degree (MS or MBA preferred) in a quantitative field such as Statistics, Design, Data Science, Machine Learning, Operations Research, Engineering, Computer Science, Mathematics, Physics, Bioinformatics, Economics, Psychology, or a similar quantitative field.

Job Overview Branch launched in India in early 2019 and has seen rapid adoption and growth. We are expanding our product portfolio as well as our user base in all our markets including India. We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting. Responsibilities Credit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team.Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground. Qualifications 2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.Excellent software engineering and programming skills, especially Python and SQL.A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.A deep understanding of using cloud computing infrastructure and data pipelines in production.Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.The drive to make a positive impact on customers' lives.

Job Overview Branch launched in India in early 2019 and has seen rapid adoption and growth. We are expanding our product portfolio as well as our user base in all our markets including India. We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting. Responsibilities Credit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team.Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground. Qualifications 2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.Excellent software engineering and programming skills, especially Python and SQL.A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.A deep understanding of using cloud computing infrastructure and data pipelines in production.Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.The drive to make a positive impact on customers' lives.