Lead ML / Data Scientist in Bengaluru, India

Role Overview The Lead Data Scientist is a senior technical role combining deep expertise in statistics, mathematics and data preparation with strong capability in machine learning and hands-on programming. The role leads complex analyses, develops scalable solutions and ensures work is rigorous, reproducible and aligned ...

• Hybrid

As a Lead Data Scientist, you will lead the design, development, validation, and operationalization of machine learning and advanced analytics solutions that power intelligent products and business capabilities. This role combines strong hands-on expertise in model development with practical experience in MLOps, deployment, ...

... looking for a Lead Data Scientist who can own data science engagements end to end, from shaping the problem with the client to delivering and operationalizing ML solutions. You will lead a team of data scientists, guide technical decisions, and help grow ProcDNA's data science practice through client relationships and new ...

... distributed data processing. - Practical exposure to Machine Learning and Deep Learning model development and deployment. - Experience working with large, complex datasets in cloud-based or big data environments. - Practical understanding of Nixtla library is a plus. - Experience with MLOps , model monitoring, and CI/CD pipelines. ...

• Full-time

Rs 25 - 30 lakhs p.a.

... Experience: 8+ years Location: Hyderabad JobType: full-time We are looking for an experienced and highly skilled Lead Data Scientist with 8–13 years of experience to lead the development and implementation of advanced data science and machine learning solutions. The ideal candidate will have strong expertise in Data Science using ...

• Hybrid

... Data Science (CDS) team partners with Shell's business units to deliver data-driven solutions through deep process understanding and technical excellence. As a Data Scientist within the Digital Process Twin (DPT) portfolio, you will apply process mining, optimization, and AI/ML techniques to process-centric data to identify ...

We are building a team around a Senior Data Scientist role focused on measurable AI outcomes through statistical analysis, machine learning, and NLP. You will work across the full lifecycle, from preparing data to deploying models, coordinating closely with multiple stakeholders. Responsibilities Deliver AI solutions such ...

• Remote

... agricultural monitoring (raster processing, zonal statistics, ML classification, time-series modeling). - Integrate outputs with downstream systems (dashboards, APIs, ML models) to support digital agronomy and sustainability reporting. - Maintain data quality, document methodologies, and support junior geospatial analysts. - Promote ...

... workflows, and structured output pipelines for LLM applications. Fine-tune, evaluate, and optimize LLM-powered applications for accuracy, latency, and cost. Implement data preprocessing, feature engineering, and ML model training workflows. Work with structured and unstructured datasets to solve business problems. Collaborate with ...

• Full-time

... hands-on professional experience Education: BE/B.Tech/ME/M.Tech/MCA/MSc IT Primary Skills (must have): Strong Azure or AWS knowledge Strong working knowledge on Data Science, Artificial Intelligence, Machine Learning Secondary Skills (good to have): SQL, Python Professional Attributes: Strong analytical and problem-solving ...

We are looking for a hands-on Data Scientist to join the Commodities At Sea (CAS) team. The role combines large-scale data processing, data wrangling and analytical problem-solving with the development of reliable, production-ready data products for maritime and commodity-flow analytics. The successful candidate will work ...

... standards, and best practices. Present findings, recommendations, and AI roadmaps to leadership teams. Provide technical guidance and mentoring to junior data scientists and analysts. Collaborate with global teams and external partners to deliver data-driven solutions. Advanced knowledge of Python, SQL, and modern data science ...

... comprehensive benefits package includes health insurance, wellness programs, learning & development opportunities, and more. Job Title: Data Scientist 2 Understand data landscape Perform ad-hoc analysis and present results in a clear manner Work on the full lifecycle of machine learning development including sourcing, dataset ...

Position: Data Scientist Experience: 3 – 4 Years We are looking for a Data Scientist to help us see those patterns earlier: which investors need a nudge, which portfolios are drifting off-plan, and which programs are actually moving the needle. Investment and portfolio analytics- build models that surface portfolio drift, ...

Kroll is hiring a Senior Data Scientist to join its Enterprise Data Group. This role is designed for an experienced practitioner who can lead end-to-end ML initiatives, mentor junior team members, and partner with business and engineering stakeholders to translate complex problems into production-grade data science solutions. ...

... technology, data-driven decision-making, and industry expertise to deliver fast, flexible financing options that traditional lenders often cannot provide. As a Senior Data Scientist on the Credit & Fraud Risk Team, you will take ownership of the end-to-end lifecycle of predictive machine learning models. You'll play a foundational ...

• Hybrid

... scalable solutions Generate actionable insights through data analysis and modeling Deploy, monitor, and improve model performance Qualifications - Bachelor's/Master's in Computer Science, Data Science, Engineering, or related field - 3–8 years of relevant experience Skills: data scientist,genai,python,sql,pyspark,aiml,ml

... team drives competitive advantage by providing the best-in-class data, analytics, and insights for the Kmart Group. By using the latest cloud platforms tools, data engineering practices, and data science methods, the team is paving the way for a data culture within the organization, which leads to improved sales, cost savings, ...

$100 USD

... novel measurement approaches Ideal For: Senior and Staff data scientists who want one of the hardest, most consequential analytics surfaces in AI software Applied ML practitioners who'd rather build the pipeline than wait for one Analysts who moved into ML and never stopped shipping Anyone drawn to where classical ML, LLM-native ...