2627 Data Science Jobs - Page 15

It's a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you'll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them. What we expect from you 5- 7years of experience required Degree in Statistics, Maths, Physics, Economics or similar field Programming skills (Python and SQL are a must have) Analytical Techniques and Technology Logical thinking and problem solving Strong communication skills Stakeholder Management Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact Statistical Modelling and experience of applying data science into client problems.

It s a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you'll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them. What we expect from you 2- 4 years of experience required Degree in Statistics, Maths, Physics, Economics or similar field Programming skills (Python and SQL are a must have) Analytical Techniques and Technology Logical thinking and problem solving Strong communication skills Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact Statistical Modelling and experience of applying data science into client problems.

Paramatrix Technologies Pvt. Ltd is looking for Junior AL/ML to join our dynamic team and embark on a rewarding career journey We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models to solve complex problems and enhance our products or services The ideal candidate will have a strong background in machine learning algorithms, programming, and data analysis Responsibilities:Problem Definition:Collaborate with cross-functional teams to define and understand business problems suitable for machine learning solutions Translate business requirements into machine learning objectives Data Exploration and Preparation:Analyze and preprocess large datasets to extract relevant features for model training Address data quality issues and ensure data readiness for machine learning tasks Model Development:Develop and implement machine learning models using state-of-the-art algorithms Experiment with different models and approaches to achieve optimal performance Training and Evaluation:Train machine learning models on diverse datasets and fine-tune hyperparameters Evaluate model performance using appropriate metrics and iterate on improvements Deployment:Deploy machine learning models into production environments Collaborate with DevOps and IT teams to ensure smooth integration Monitoring and Maintenance:Implement monitoring systems to track model performance in real-time Regularly update and retrain models to adapt to evolving data patterns Documentation:Document the entire machine learning development pipeline, from data preprocessing to model deployment Create user guides and documentation for end-users and stakeholders Collaboration:Collaborate with data scientists, software engineers, and domain experts to achieve project goals Participate in cross-functional team meetings and knowledge-sharing sessions

As a part of GIG, Godrej Industries Group (GIG) is in the business of oleo-chemicals, surfactants, finance & investments, and estate management. In the past few years, the group has also focused on increasing its global footprint in developing economies like Latin America, Indonesia and Africa through its FMCG arm Godrej Consumer Products Limited (GCPL) . GCPL is a leader among the Indian-born FMCG companies with leading Household and Personal Care Products. The real estate arm, Godrej Properties Limited (GPL) brings the group s philosophy of innovation and excellence to the real estate industry. It aims to deliver superior value to all stakeholders through extraordinary and imaginative spaces created out of deep customer focus and insight. The agri-business arm Godrej Agrovet Ltd (GAVL) of GILAC is dedicated to improving the productivity of Indian farmers by innovating products and services that sustainably increase crop and livestock yields. The company operates in animal feed, oil palm, agri inputs, hybrid seeds, and poultry in which it is a leader. Godrej Capital (GC) is the vertical that aims to finance your dreams. We understand what s important to you, and taking the Group s legacy of trust, we bring to you financial solutions to secure your future, creating moments of joy. www.godrejgroup.com Designation : Deputy General Manager AI Lab Location : Mumbai, India Job Purpose As a Deputy General Manager (DGM) at the Godrej AI Lab, you will play a pivotal role in leading high-impact AI programs across group businesses. You will drive the development and deployment of advanced AI solutions, foster strong stakeholder partnerships, and manage a focused team of AI engineers and executives. This position demands a combination of strategic leadership, strong execution capabilities, and a sound understanding of AI technologies. You ll work closely with business teams, IT, and external partners to deliver outcomes that matter. Roles & Responsibilities: Lead the end-to-end lifecycle of AI initiatives from business problem framing to scaled deployment. Partner with business leaders to define priorities, scope solutions, and drive adoption. Manage and mentor a team of AI engineers and senior executives to ensure execution quality and timely delivery. Translate business challenges into technically feasible and measurable AI use cases. Guide solution design, vendor evaluations, and platform/tooling choices. Ensure integration and alignment across business, data, IT, and external stakeholders. Monitor project progress and impact metrics, proactively addressing risks or delays. Contribute to the broader AI maturity journey supporting enablement, communication, or upskilling efforts as needed. Stay informed on the evolving AI landscape to bring relevant innovations into the organization. Educational Qualification: Education: Bachelor s or Master s in Computer Science, Engineering, Data Science, or a related technical discipline. MBA or certifications in AI/Gen AI are a plus. Experience: 7+ years of experience in digital transformation, AI/ML, data science, or technology-led business roles. Strong Experience in AI and Gen AI Good track record of delivering complex, multi-stakeholder projects. Demonstrated ability to manage teams and influence cross-functional senior leaders. Experience working with external tech partners and system integrators Skills: Solid understanding of AI and machine learning concepts, platforms, and applications. Ability to translate business needs into technically sound solutions. Strong project and stakeholder management skills; proven ability to lead in a matrixed setup. Strategic and analytical mindset with a bias for execution. Excellent communication, facilitation, and relationship-building skills. Comfort with ambiguity and a proactive, problem-solving approach.

About Godrej Industries Limited Group (GIG ) Godrej Industries Group (GIG), is a vibrant group of listed Godrej companies. It has a clear focus on Chemicals, FMCG, Real Estate, Agriculture and Financial Services, a set of diverse industries, most of which are defining new India s growth story. At GIG we seek to achieve this growth through fostering an inspiring place to work, while inculcating shared value through a philosophy of Good & Green . As a part of GIG, Godrej Industries Group (GIG) is in the business of oleo-chemicals, surfactants, finance & investments, and estate management. In the past few years, the group has also focused on increasing its global footprint in developing economies like Latin America, Indonesia and Africa through its FMCG arm Godrej Consumer Products Limited (GCPL) . GCPL is a leader among the Indian-born FMCG companies with leading Household and Personal Care Products. The real estate arm, Godrej Properties Limited (GPL) brings the group s philosophy of innovation and excellence to the real estate industry. It aims to deliver superior value to all stakeholders through extraordinary and imaginative spaces created out of deep customer focus and insight. The agri-business arm Godrej Agrovet Ltd (GAVL) of GILAC is dedicated to improving the productivity of Indian farmers by innovating products and services that sustainably increase crop and livestock yields. The company operates in animal feed, oil palm, agri inputs, hybrid seeds, and poultry in which it is a leader. Godrej Capital (GC) is the vertical that aims to finance your dreams. We understand what s important to you, and taking the Group s legacy of trust, we bring to you financial solutions to secure your future, creating moments of joy. www.godrejgroup.com Designation : AI Engineer AI Lab Location: Mumbai, India Job Purpose As an AI Engineer in the Godrej AI Lab, you will play a key role in developing and experimenting with AI and GenAI solutions to solve business problems. This role is deeply technical but also exploratory in nature. You will be responsible for testing feasibility, building prototypes, running experiments, and co-creating solutions with both internal teams and external partners. Your work will directly contribute to evaluating new use cases, scaling successful pilots, and embedding AI into our business workflows. All solutioning, prototyping, testing, and development will be anchored by you making this a highly engaging and interesting role at the heart of real-world AI delivery Roles & Responsibilities: Build, test, and iterate on AI and GenAI solutions using industry-standard tools and platforms. Anchor technical components of AI use cases from experimentation to solution deployment. Collaborate with managers, internal tech teams, and external partners to co-develop POCs and scalable solutions. Conduct feasibility assessments and support decision-making through rapid experimentation. Translate abstract business problems into model-ready formats, including data preparation and feature engineering. Work on GenAI components such as prompt design, LLM integration, and retrieval-augmented generation (RAG). Maintain clean, well-documented code and version control practices. Integrate solutions with APIs and backend systems as needed, in partnership with engineering teams. Support model evaluation, optimization, and iterative improvement cycles. Contribute to the AI Labs internal knowledge-sharing and tooling base Educational Qualification: Bachelor s or Master s in Computer Science, Engineering, or a related technical field. Experience: 4 6 years of hands-on experience in AI/ML, GenAI, or applied data science roles. Experience building or experimenting with AI solutions in practical business settings. Exposure to collaborative delivery with tech teams or solution partners. Skills: Strong proficiency in Python and libraries like Pandas, NumPy, scikit-learn, PyTorch, TensorFlow. Experience with GenAI APIs (OpenAI, PaLM, Hugging Face) and vector databases (e.g., Pinecone, FAISS). Working knowledge of prompt engineering, LLMs, RAG, and LangChain-style pipelines. Comfortable with code versioning (Git), API-based integration, and cloud environments (GCP, AWS, Azure). Ability to think critically, test hypotheses, and learn rapidly through experimentation. Good collaboration skills and attention to clean, modular code An inclusive Godrej If this sounds like a role for you, apply now! We look forward to meeting you.

JIDOKA SYSTEMS PRIVATE LIMITED is looking for Data Science Engineers to join our dynamic team and embark on a rewarding career journey Data Exploration and Preparation:Explore and analyze large datasets to understand patterns and trends Prepare and clean datasets for analysis and model development Feature Engineering:Engineer features from raw data to enhance the performance of machine learning models Collaborate with data scientists to identify relevant features for model training Model Development:Design and implement machine learning models to solve business problems Work on both traditional statistical models and modern machine learning algorithms Scalable Data Pipelines:Develop scalable and efficient data pipelines for processing and transforming data Utilize technologies like Apache Spark for large-scale data processing Model Deployment:Deploy machine learning models into production environments Collaborate with DevOps teams to integrate models into existing systems Performance Optimization:Optimize the performance of data pipelines and machine learning models Fine-tune models for accuracy, efficiency, and scalability Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders Communicate technical concepts and findings to non-technical audiences Continuous Learning:Stay current with advancements in data science and engineering Implement new technologies and methodologies to improve data engineering processes

Role : Data Scientist with ML Knowledge. Experience : 3-4 years. Skill Set : Data Science Machine Learning Data Modelling and Statistical Analysis Experience in Python , DBs and ML packages Experience in Flask API , Cloud services (Azure, AWS, Open AI , Gemini Flash) Experience in version control and collaborating with development teams Knowledge of Deep Learning Frameworks(Pytorch / TensorFlow etc) Responsibility Sanitize, analyze, and preprocess structured and unstructured data using tools like Pandas, NumPy, SQL, and Spark. Implement ML algorithms using Python and libraries such as scikit-learn, TensorFlow, PyTorch, XGBoost.Perform feature engineering , model tuning, and validation to optimize model performance. Develop dashboards and reports using tools like Power BI, Tableau , or Streamlit for stakeholder communication. Continuously monitor and improve the performance of deployed models. Stay updated with the latest trends in ML/AI and bring innovative ideas to the table.

Title - Product Management - Product Manager - CST (Gen AI) Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Team: At CST Product we are redefining the experience of our customers, using AI and automations which will help us to identify the user intent with Context to provide one click resolution and adding intelligence to identify product gaps and downtime.We are also building a scalable platform to integrate with multiple products to provide Data sanity and Unified Customer experience About the Role: We're seeking an experienced Product Manager to lead the development and scaling of cutting-edge Generative AI (Gen AI) and Large Language Model (LLM) powered products for the Fintech industry. If you have a passion for building innovative products, a data-driven problem-solving mindset, and a willingness to learn, we'd love to hear from you! Responsibilities: - Build and launch Gen AI and LLM powered products that transform the Fintech industry - Collaborate with cross-functional teams, including Engineering, Design, and Data Science - Develop product roadmaps, requirements, and user stories - Analyze data to inform product decisions and measure success - Stay up-to-date with industry trends and emerging technologies : - 4-6 years of product experience, with a focus on Gen AI and LLM powered products - Hands-on experience building and scaling AI-powered products - Open to learning, inquisitive, and growth-oriented mindset - Data-driven problem-solving skills, with experience working with data analytics tools - Excellent communication, collaboration, and project management skills What We Offer: - Opportunity to develop and scale state-of-the-art Gen AI powered products for Fintech - Chance to learn from the best minds in Engineering and product domains - Competitive salary and benefits package - Collaborative, dynamic, and innovative work environment Location - Bangalore, Karnataka,Noida, Uttar Pradesh

Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the team Being one of the largest payment platforms in the country, we aim to not only ensure a seamless experience, but also a delightful journey for our customers. We strive to enrich the customer experience by making every transaction transparent, honest, and hassle-free. The app product team ensures to deliver an outstanding user experience to the Paytm Customers by understanding the user, discerning their use patterns, and designing an app that meets their user's needs. About the Role: Business analyst focuses on data, statistical analysis and reporting to help investigate and analyze business performance, provide insights, and drive recommendations to improve performance. 1. Setup & maintain passbook dashboards for core passbook metrics 2. Helps with analytics tasks involving passbook accounts section where we track different user actions like check bal, CTR on growth cards to report & build subsequent funnels 3. Helps with analytics pipeline setup for new features like - new passbook revamp, hide payments, spend analytics, UPI statement email & download, add/edit tags, etc. 4. Owns production pipelines for email statements & suggestions within to-mobile screens & is activelyclosing the work on pipeline setup for reminders data which was earlier shared by DS 5. Helps with driving areas which are analytics driven like - CST tickets reduction flows, check balance loop creation flows, etc. 6. Also will help in setting up exhaustive analytics for new roadmap items like - Account aggregator, Cross-sell, etc. 7. Ad-hoc data requests for passbook Expectations/ : 1. Derive business insights from data with a focus on driving business level metrics. 2. Ability to interact and convince business stakeholders. 3. Developing insightful analysis about business and their strategic and operational implications. 4. Partner with stakeholders at all levels to establish current and ongoing data support and reporting needs. 5. Analyze data from multiple angles, looking for trends that highlight areas of concerns or opportunities. 6. Design, create and deliver data reports, dashboards, extract and/or deliver presentations to strategic questions. 7. Identifying data needs and driving data quality improvement projects. Key Skills Required: 1.Ideally have 4-5 years experience working on data analytics and business intelligence. Candidates from b2c consumer internet product companies are preferred. 2. Proven work experience on MS Excel, Google analytics, SQL, Data Studio, any BI Tool, business analyst or similar role. 3. Should be comfortable working in a fast-changing environment and ambiguous. 4. Critical thinking and very detail oriented. 5. In-depth understanding of datasets, data and business understanding. 6. Capable of demonstrating good business judgement. Education: Applicants must have an engineering academic background with specialization in data science . Why join us We aim at bringing half a billion Indians into the mainstream economy, and everyone working here is striving to achieve that goal. Our success is rooted in our people’s collective energy and unwavering focus on the customers, and that’s how it will always be. We are the largest merchant acquirer in India. Compensation If you are the right fit, we believe in creating wealth for you With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It is your opportunity to be a part of the story!

Paytm is India’s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases. Paytm provides consumers with services like utility payments and money transfers, while empowering them to pay via Paytm Payment Instruments (PPI) like Paytm Wallet, Paytm UPI, Paytm Payments Bank Netbanking, Paytm FASTag and Paytm Postpaid - Buy Now, Pay Later. To merchants, Paytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks’ financial instruments. To further enhance merchants’ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners. About the team: Paytm is witnessing a broad growth across our platform as we continue to register increased adoption of our lending products, Paytm Postpaid (BNPL), merchant loans and personal loans. Lending business is driven by data science and analytics, providing data driven solutions About the role Evangelize and demonstrate value and impact of analytics for informed business decision making by developing and deploying analytical solutions and providing data driven insights to business stakeholders to understand and solve for various lending business nuances. Expectations/: 2-5 years’ experience in analytics domain in analytics consulting and/or BFSI industry Bachelors or Master’s degree in statistics, economics, engineering, math or relevant quantitative discipline with strong academic performance is required Strong expertise in machine learning, data analytics, statistics, data management, tools such as python/R, big data, and visualisation Strong knowledge of innovation in analytics, analytics use cases and technologies Exceptional problem-solving skills with demonstrated ability to structure complex problems and develop solutions Experience in growth and development of advanced analytics as a practice Driven and proactive in taking initiatives and driving implementation in coordination with the business stakeholders Excellent communication and presentation skills Extremely strong bias for action with an impact-oriented mind set Why join us A collaborative output driven program that brings cohesiveness across businesses through technology Improve the average revenue per use by increasing the cross-sell opportunities A solid 360 feedback from your peer teams on your support of their goals Compensation: If you are the right fit, we believe in creating wealth for you With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story!

Paytm is India’s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases. Paytm provides consumers with services like utility payments and money transfers, while empowering them to pay via Paytm Payment Instruments (PPI) like Paytm Wallet, Paytm UPI, Paytm Payments Bank Netbanking, Paytm FASTag and Paytm Postpaid - Buy Now, Pay Later. To merchants, Paytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks’ financial instruments. To further enhance merchants’ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners. About the team: Paytm is witnessing a broad growth across our platform as we continue to register increased adoption of our lending products, Paytm Postpaid (BNPL), merchant loans and personal loans. Lending business is driven by data science and analytics, providing data driven solutions About the role Evangelize and demonstrate value and impact of analytics for informed business decision making by developing and deploying analytical solutions and providing data driven insights to business stakeholders to understand and solve for various lending business nuances. Expectations/: 2-6 years’ experience in analytics domain in analytics consulting and/or BFSI industry Bachelors or Master’s degree in statistics, economics, engineering, math or relevant quantitative discipline with strong academic performance is required Strong expertise in machine learning, data analytics, statistics, data management, tools such as python/R, big data, and visualisation Strong knowledge of innovation in analytics, analytics use cases and technologies Exceptional problem-solving skills with demonstrated ability to structure complex problems and develop solutions Experience in growth and development of advanced analytics as a practice Driven and proactive in taking initiatives and driving implementation in coordination with the business stakeholders Excellent communication and presentation skills Extremely strong bias for action with an impact-oriented mind set Why join us A collaborative output driven program that brings cohesiveness across businesses through technology Improve the average revenue per use by increasing the cross-sell opportunities A solid 360 feedback from your peer teams on your support of their goals Compensation: If you are the right fit, we believe in creating wealth for you With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story!

Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Role Business analyst focuses on data, statistical analysis and reporting to help investigate and analyze business performance, provide insights, and drive recommendations to improve performance. Expectations/ : 1. Drive business insights from data with a focus on driving business level metrics. 2. Ability to interact and convince business stakeholders. 3. Developing insightful analysis about business and their strategic and operational implications. 4. Partner with stakeholders at all levels to establish current and ongoing data support and reporting needs. 5. Analyze data from multiple angles, looking for trends that highlight areas of concerns or opportunities. 6. Design, create and deliver data reports, dashboards, extract and/or deliver presentations to strategic questions. 7. Identifying data needs and driving data quality improvement projects. Key Skills Required: 1. Ideally have 2-5 years experience working on data analytics and business intelligence. Candidates from b2c consumer internet product companies are preferred. 2. Proven work experience on MS Excel, Google analytics, SQL, Data Studio, any BI Tool, business analyst or similar role. 3. Should be comfortable working in a fast-changing environment and ambiguous. 4. Critical thinking and very detail oriented. 5. In-depth understanding of datasets, data and business understanding. 6. Capable of demonstrating good business judgement. Education Applicants must have an engineering academic background with specialization in data science . Why join us : We aim at bringing half a billion Indians into the mainstream economy, and everyone working here is striving to achieve that goal. Our success is rooted in our people’s collective energy and unwavering focus on the customers, and that’s how it will always be. We are the largest merchant acquirer in India. Compensation If you are the right fit, we believe in creating wealth for you With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It is your opportunity to be a part of the story! Location - Noida, Uttar Pradesh,Bangalore, Karnataka

Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve software engineering problems. 2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. 3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. 4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. 5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. - Grade Specific Is highly respected, experienced and trusted. Masters all phases of the software development lifecycle and applies innovation and industrialization. Shows a clear dedication and commitment to business objectives and responsibilities and to the group as a whole. Operates with no supervision in highly complex environments and takes responsibility for a substantial aspect of Capgemini’s activity. Is able to manage difficult and complex situations calmly and professionally. Considers ‘the bigger picture’ when making decisions and demonstrates a clear understanding of commercial and negotiating principles in less-easy situations. Focuses on developing long term partnerships with clients. Demonstrates leadership that balances business, technical and people objectives. Plays a significant part in the recruitment and development of people. Skills (competencies) Verbal Communication

Role & responsibilities Lead the development and implementation of advanced analytical models and algorithms to support decision-making processes. Utilize statistical analysis and machine learning techniques to extract insights from large and complex datasets. Collaborate with business stakeholders to understand their needs and requirements, and translate them into actionable analytical solutions. Design and conduct experiments to test hypotheses and evaluate the effectiveness of various strategies and interventions. Mentor and coach junior members of the team, providing guidance on technical skills and professional development. Communicate findings and recommendations to stakeholders through data visualization, reports, and presentations. Stay current with the latest advancements in data science, machine learning, and technology trends, and evaluate their potential impact on the business. Preferred candidate profile 5-8 years of experience in data analysis, statistical modelling, and machine learning, with a proven track record of delivering actionable insights and solutions. Proficiency in programming languages such as Python, R, or SQL, and experience with statistical analysis tools and libraries. Strong understanding of quantitative methods, including regression analysis, time series analysis, optimization, and experimental design. Experience working with cloud technologies (especially Azure) is preferred. Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and influence decision-making processes.

This role involves the development and application of engineering practice and knowledge in defining, configuring and deploying industrial digital technologies (including but not limited to PLM and MES) for managing continuity of information across the engineering enterprise, including design, industrialization, manufacturing and supply chain, and for managing the manufacturing data. - Grade Specific Focus on Digital Continuity and Manufacturing. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.

8.5 to 12 years of experience with Data Science, AIML, and Generative AI technologies. Strong proficiency in programming languages such as Python , R, and JavaScript. Experience with machine learning frameworks and tools. Familiarity with chatbot development platforms. Extensive experience in Python programming languages along with design and development of predictive models ML algorithms Chatbots Talk to Database statistical analyses and feature engineering to solve complex problems for Businesses Extensive hands-on experience in implementing end-to-end projects utilizing Generative AI Chatbot Development, Azure Open Ai - Generative Ai, Data Science, Python

At least 6 - 8 years overall experience At least 4-5 years experience in Machine Learning / Deep Learning Extensive experience working on NLP Conversant with Python programming Good knowledge of and experience working on Generative AI Adept in Prompt Engineering Should have a good understanding of microservices architecture and Data Engineering Should be able to understand user needs and map with corresponding technologies Should be able to architect Generative AI based solutions Should be able to guide the team technically Should be able to highlight technical limitations and shortcomings well in advance and suggest alternative approaches / solutions Should have working experience on Azure Cognitive Services Experience working on client facing roles and direct client interactions Good communication skills Gcp/ Aws/ Azure, Nlp & Deep Learning, Data Science, Ai Ml

We are seeking a highly skilled Machine Learning Lead to drive the development and deployment of advanced machine learning solutions across our products and platforms. This role demands a balance of technical excellence, project leadership, and a deep understanding of business goals. You will lead a team of ML engineers and data scientists, collaborating cross-functionally with product, engineering, and business stakeholders to deliver impactful AI-driven outcomes. Roles and Responsibilities Key Responsibilities: Lead End-to-End ML Projects: Own the full lifecycle of ML solutions from problem scoping, data exploration, model development, deployment, and post-deployment monitoring. Own the Gen AI Strategy: Define and drive the technical vision and execution strategy for Gen AI use cases across the organization. Architect Scalable Solutions: Design robust ML systems and pipelines that integrate seamlessly into production environments. Team Leadership: Mentor and guide a team of ML engineers and data scientists, fostering a culture of technical excellence, innovation, and continuous learning. Modeling & Research: Stay up to date with the latest advancements in ML/AI and guide experimentation with novel algorithms (e.g., deep learning, NLP, GenAI, reinforcement learning). Build RAG & Prompt Engineering Pipelines: Design scalable architectures for RAG, vector search, prompt tuning, and prompt chaining with tools like LangChain, LlamaIndex, and FAISS. Stakeholder Collaboration: Work closely with product managers, engineers, and domain experts to translate business problems into technical solutions. Operationalize ML: Partner with MLOps/DevOps teams to deploy, monitor, and maintain ML models in production, ensuring reliability and scalability. Must-Have: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related field (PhD is a plus). 8+ years of hands-on experience in machine learning, with at least 1–2 years in a leadership or mentorship role. Proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, HuggingFace Transformers, etc. Strong understanding of statistics, optimization, and model evaluation techniques. Experience with cloud platforms (AWS, GCP, or Azure) and tools like Docker, Kubernetes, MLflow, or Kubeflow. Proficiency in Python and Gen AI frameworks such as LangChain, Crew AI, or similar. Proven track record of deploying ML models into production at scale. Excellent communication and leadership skills. Nice-to-Have: Background in domain-specific ML (e.g., healthcare, fintech, manufacturing). Familiarity with data engineering tools like Apache Spark, Airflow. Prior experience in startup or fast-paced environments. Skills to Have : Artificial Intelligence, Natural Language Processing, machine learning, Deep Learning, Scikit-Learn, Python, Pytorch, Tensorflow, data science, Huggingface, Transformers, Langchain, Crew AI, Aws Cloud, Gcp Cloud, Azure Cloud.

About the Role As a Principal Data Scientist in our AdTech team, youll drive innovation in our advertising platform using advanced machine learning and statistical methods. Youll tackle complex problems in real-time bidding, ad ranking optimization, budget efficiency, and performance measurement that directly impact our businesss bottom line. This role requires technical excellence and business acumen and youll collaborate with cross-functional teams to transform data insights into actionable strategies that enhance our advertising ecosystem. What you will do Design and develop sophisticated bidding, budget pacing and other algorithms that optimize ad spend or ROI. Create frameworks and experimental design to measure ad effectiveness and ROI. Collaborate with product and engineering teams to translate business requirements into efficient AI/ML solutions. Communicate long-term roadmap, insights and recommendations to tech and business leadership. Mentor junior data scientists and provide technical Lead research initiatives in machine learning, auction theory and advertising technology. What you will need B.Tech in Computer Science, Machine Learning, or a related field with at least 6+ years of experience in AI/ML research. Experience in auction theory, predictive modelling, causal inference, and reinforcement learning. Expertise in PyTorch or TensorFlow, and proficiency in Python as well as big data technologies. History of mentoring junior data scientists, and comfortable in driving multiple problem statements. Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences. Preferred Qualifications: M.Tech or Ph.d in Computer Science with a specialization in Machine Learning. 3+ years of experience applying machine learning and statistical modeling in AdTech, or related domains. Exposure in real-time bidding systems, programmatic advertising, or ad exchanges. Track record of successful research-to-product transitions. Strong publication record in top AI conferences (e.g., NeurIPS, ICML, ICLR, KDD, CVPR, AAAI).

Position Purpose Your work will span across multiple areas, including predictive modelling, automation and process optimization. We use AI to discover patterns, classify information, and predict likelihoods. Our team works on building, refining, testing, and deploying these models to support various business use cases, ultimately driving business value and innovation. As a Data Scientist on our team, you can expect to work on challenging projects, collaborate with stakeholders to identify business problems, and have the opportunity to learn and grow with our team. A typical day may involve working on model development, meeting with stakeholders to discuss project requirements/updates, and brainstorming/debugging with colleagues on various technical aspects. At the Lab, we're passionate about staying at the forefront of AI research, bridging the gap between research & industry to drive innovation and to make a real impact on our businesses. Responsibilities 1. Develop and maintain AI models from inception to deployment, including data collection, analysis, feature engineering, model development, evaluation, and monitoring. 2. Identify areas for model improvement through independent research and analysis, and develop recommendations for updates and enhancements. 3. Working with expert colleagues and business representatives to examine the results and keep models grounded in reality. 4. Documenting each step of the development and informing decision makers by presenting them options and results. 5. Ensure the integrity and security of data. 6. Provide support for production models delivered by the Mumbai team but potentially as well for other models to any of the Asian/EU/US time zones. Technical & Behavioral Competencies 1. Qualifications: Bachelors / Master / PhD degree in Computer Science / Data Science / Mathematics / Statistics / relevant STEM field. 2. Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning, Probability Theory and Linear Algebra. 3. Experience with Machine Learning & Deep Learning concepts including data representations, neural network architectures, custom loss functions. 4. Proven track record of building AI model from scratch or finetuning on large models for Tabular or/and Textual data. 5. Programming skills?in Python and knowledge of common numerical and machine-learning packages (like NumPy, scikit-learn, pandas, PyTorch, transformers, langchain). 6. Ability to write clear and concise code in python. 7. Intellectually curious and willing to learn challenging concepts daily. 8. Knowledge of current Machine Learning/Artificial Intelligence literature. Skills Referential Behavioural Skills : Ability to collaborate / Teamwork Critical thinking Communication skills - oral & written Attention to detail / rigor Transversal Skills: Analytical Ability Education Level: Bachelor Degree or equivalent Experience Level At least 1 year

Requirement for Data Scientist. Exp Level 7-15 Yrs. Hands on NLP, Machine learning, Python, AI, computer vision, deep learning. Work at office Chennai location Shriram Gateway. Quick Joiners Preferred. Interested suitable candidates please be in touch with roopashree.ry@sutherlandglobal.com JD We are seeking a skilled and experienced Machine Learning Engineer specialized in Natural Language Processing (NLP) and Computer Vision to join our team. The ideal candidate should have a strong foundation in ML and AI principles, coupled with a proven track record of developing and deploying a minimum of 20+ models in these domains. Responsibilities: • Develop and implement state-of-the-art machine learning algorithms and models for NLP and computer vision applications. • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. • Conduct thorough data analysis, pre-processing, and feature engineering to extract meaningful insights from structured and unstructured data. • Design and implement scalable and efficient machine learning pipelines for training, evaluation, and inference. • Experiment with various deep learning architectures, hyperparameters, and optimization techniques to improve model performance. • Stay updated with the latest advancements in ML and AI research and evaluate their potential applications in our domain. • Work closely with software engineers to integrate ML models into production systems and ensure their robustness and scalability. • Perform rigorous testing and validation of models to ensure their accuracy, reliability, and generalization capability. • Continuously monitor and maintain deployed models, and implement necessary updates and enhancements as required. • Document code, methodologies, and findings effectively, and contribute to internal knowledge sharing initiatives. • Bachelor's/Masters/Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field. • Strong theoretical understanding of machine learning algorithms, deep learning frameworks, and statistical modeling techniques. • Proficiency in programming languages such as Python, along with experience in popular ML libraries such as TensorFlow, PyTorch, or scikit-learn. • Hands-on experience in developing and deploying machine learning models for NLP and computer vision tasks, with a demonstrable portfolio of projects. • Solid understanding of natural language processing techniques, including text classification, sentiment analysis, named entity recognition, etc. • Familiarity with computer vision concepts such as image classification, object detection, image segmentation, etc., and experience with frameworks like OpenCV or TensorFlow. • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus. • Excellent problem-solving skills, attention to detail, and ability to work independently as well as part of a team. • Strong communication and interpersonal skills, with the ability to effectively collaborate with stakeholders across different functional areas. • Join us in revolutionizing the way [Company Name] harnesses the power of machine learning and artificial intelligence to drive innovation and create impactful solutions.

Responsibilities: Develop and deploy advanced analytics solutions leveraging AI, ML, DL, and Generative AI models. Collaborate with stakeholders to understand business challenges and design data-driven solutions. Build, test, and optimize machine learning pipelines and automation processes using Python. Work with relational and non-relational databases; write efficient SQL queries. Implement asynchronous programming techniques to enhance system performance. Design and develop scalable applications and APIs using frameworks like Django and Flask. Create and integrate REST APIs for seamless data exchange between systems. Deploy and manage analytics solutions in production environments. Troubleshoot and resolve issues in deployment, automation, and analytics workflows. Stay updated with the latest advancements in AI/ML/DL and Generative AI technologies. Requirements: Bachelors/ Masters degree in Computer Science, Data Science, or a related field. 5+ years of hands-on experience in analytics and AI/ML solution development. Proficient in Python and Python-based automation techniques. Solid understanding of AI/ML/DL concepts and familiarity with Generative AI models. Strong experience with SQL and database management (e.g., MySQL, PostgreSQL, MongoDB). Hands-on experience with asynchronous programming in Python. Proficiency with frameworks such as Django and Flask for application development. Experience in deploying machine learning models and applications. Familiarity with REST API development and integration. Strong problem-solving skills and ability to work in a collaborative environment. Preferred Skills: Knowledge of BI Tools such as Qlik & Power BI. Knowledge of cloud platforms (AWS, Azure, GCP) for AI/ML deployment. Experience with containerization tools like Docker and orchestration platforms like Kubernetes. Soft Skills: Strong analytical and critical thinking abilities. Excellent communication and interpersonal skills. Ability to work independently and within cross-functional teams.

Lead global digital teams to deliver IoT and data science projects, align with strategy, manage software from concept to deployment, develop talent, and ensure scalable, high-quality solutions using cloud, embedded systems, and advanced networking

Role & responsibilities What we expect from you Degree in a relevant subject Programming skills (Hadoop, Spark, SQL, Python) Prototyping Statistical Modelling Analytical Techniques and Technology Quality Assurance and Testing What you can expect from us We wont just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One and dh Thrive as the living proof. Everyone’s invited.

Develop and deploy advanced AI solutions using the latest Generative AI techniques including: - Retrieval-Augmented Generation (RAG) pipelines. - Designing and building Agentic AI systems to automate complex decision-making workflows. - Fine-tuning Foundation and Small Language Models (SLMs) tailored for domain specific content