... experience in deploying models to production. - Strong Python and SQL, with experience on distributed or cloud platforms such as Databricks, PySpark and AWS/Azure. - A track record of owning client communication and explaining results to non-technical stakeholders. - Experience in guiding and managing a team of data scientists.
... about using data visualisations to tell stories 1–3 years experience in creating data visualisations proficient in R or Python proficient in using code to clean data, transform, and aggregate data familiar with version control concepts and tools for collaborative development experience writing SQL and working with relational ...
... https://jobeax.com/link/sEOksQVqU173JbV8 Skills : - Machine Learning : Supervised Learning, Unsupervised Learning, Deep Learning, Forecasting.- Programming and Data : Python, SQL, Data Wrangling.- ML Engineering : End-to-End ML Solution Development, Model Deployment, Production Monitoring.- Emerging AI : Generative AI, Agentic ...
... obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. Job Title: Data Scientist We're the world's leading data, insights, and consulting company we shape the brands of tomorrow by better understanding people everywhere. We are looking for a Data Scientist who will work ...
Role Overview : As a commercially savvy Lead Data Scientist, you will lead your team on client briefs whilst collaborating closely with consultants and Trade Partner stakeholders. You'll bring fresh ideas and innovative thinking to push the boundaries of what's possible with consumer analytics. You will drive AI excellence ...
... 2–4 years of Data Science experience, ideally including 3+ years focused on Credit Risk, Fraud Analytics, Lending, or Fintech. - Production-grade fluency in Python and advanced, highly analytical SQL. - Modern Stack Experience: Hands-on experience scaling data workflows over frameworks like Snowflake, Databricks, Spark, ...
... model monitoring approaches - Strong understanding of data engineering and model integration patterns, including working with SQL, batch pipelines, streaming data, APIs, and application services - Familiarity with observability and operational tooling such as Azure Monitor, Application Insights, MLflow tracking, Datadog, ...
... observable and human-governed AI-assisted workflows, evaluating their quality, and integrating them responsibly into existing data pipelines and business processes. Data Science, Engineering & Quality Design, build and maintain scalable data-processing and analytical workflows using Python, PySpark and SQL; Collect, clean, reconcile ...
... applications, or hybrid modeling approaches (physics-informed ML, combining domain knowledge with ML) - Familiarity with Agile development methodologies - Knowledge of data engineering, data warehousing, and SQL - Experience using data science techniques to solve real-world problems across multiple business domains and communicate ...
... bottom-line and top-line of India business. 2+ years of data scientist experience - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, ...
... (spatial autocorrelation / Moran's I), and catchment/trade-area analysis.- Python geospatial stack: Hands-on with GeoPandas, Shapely, Rasterio, GDAL/OGR, and spatial SQL via PostGIS (or BigQuery GIS). Comfortable manipulating vector and raster data at scale.- Machine learning for tabular/spatial problems: Solid grounding in regression ...
Role Summary : The Senior Data Scientist will lead advanced analytics initiatives, leveraging AI/ML, Generative AI (GenAI), and Agentic AI to deliver decision intelligence solutions. This role involves designing solutions, collaborating with cross-functional teams, and mentoring junior data https://jobeax.com/link/jOXlfQ8JM0UfgeL3 ...
... based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven decision-making and innovation within our portfolio. Key skills - Python, FastAPI Framework, ...
... based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven decision-making and innovation within our portfolio. Key skills - Python, FastAPI Framework, ...
LOCATION : Gurgaon, Noida, Bangalore, Pune, HyderabadJOB OBJECTIVE : Data Scientist with 3+ years of experience in developing scalable Machine Learning models and their https://jobeax.com/link/MJvWAZuK638tHuBb RESPONSIBILITIES : Tech Stack & Skills : - Experience in model development using Python/PySpark libraries. Development ...
... stakeholders to ensure alignment with project objectives. Develop and optimize Python-based data science solutions using public datasets. Create well-documented Python code using Jupyter notebooks. Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience. Knowledge of Python programming for data ...
LOCATION : Gurgaon, Noida, Bangalore, Pune, HyderabadJOB OBJECTIVE : Data Scientist with 3+ years of experience in developing scalable Machine Learning models and their https://jobeax.com/link/MJvWAZuK638tHuBb RESPONSIBILITIES : Tech Stack & Skills : - Experience in model development using Python/PySpark libraries. Development ...
... field (Mathematics, Statistics, Econometrics, Computer Science, Physics, or Operations Research). Experience: 4 to 6 years of industry experience working as a Data Scientist or Machine Learning Engineer with a portfolio of complex multimodal projects. Honeywell Technologies is a global, pure-play automation company with ...
... 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 ...