only leverage a fraction of it for predictive tasks. This is because traditional machine learning is slow and time consuming, taking months to perform featureengineering, build training pipelines, and achieve acceptable performance. At Kumo, we are building a machine learning platform for data lakehouses, enabling data scientists … best practices, etc. so that they increase usage across a larger number of internal workloads. Provide market and customer feedback to the Product and Engineering team to refine feature specifications and the product roadmap. Create broader processes for each customer to go through to ensure we can drive More ❯
Proficient in Python programming and SQL, with experience in production-level code and data analysis libraries. · Familiar with ML Ops, model development workflows, and featureengineering techniques. · Capable of manipulating data and developing models accessible for business use, with experience in Azure AI Search. · Adept with software development More ❯
Proficient in Python programming and SQL, with experience in production-level code and data analysis libraries. · Familiar with ML Ops, model development workflows, and featureengineering techniques. · Capable of manipulating data and developing models accessible for business use, with experience in Azure AI Search. · Adept with software development More ❯
Proficient in Python programming and SQL, with experience in production-level code and data analysis libraries. Familiar with ML Ops, model development workflows, and featureengineering techniques. Capable of manipulating data and developing models accessible for business use, with experience in Azure AI Search. Adept with software development More ❯
Proficient in Python programming and SQL, with experience in production-level code and data analysis libraries. Familiar with ML Ops, model development workflows, and featureengineering techniques. Capable of manipulating data and developing models accessible for business use, with experience in Azure AI Search. Adept with software development More ❯
delivering innovative, tailored data driven solutions combined with insight generation. Key responsibilities Advanced Analytics Delivery: Lead end‑to‑end data analytics projects—data exploration, featureengineering, model development (ML/AI), validation, and deployment—tailored to solving client business problems Analytics Framework & Playbooks: Co‑create repeatable playbooks for More ❯
delivering innovative, tailored data driven solutions combined with insight generation. Key responsibilities Advanced Analytics Delivery: Lead end‑to‑end data analytics projects—data exploration, featureengineering, model development (ML/AI), validation, and deployment—tailored to solving client business problems Analytics Framework & Playbooks: Co‑create repeatable playbooks for More ❯
across major client projects. THE ROLE As a Data Scientist, you will: Build and deploy machine learning solutions end-to-end, from SQL-based featureengineering to model development in Python and cloud deployment (AWS) Prototype and test new ideas that solve real business problems or spark client More ❯
across major client projects. THE ROLE As a Data Scientist, you will: Build and deploy machine learning solutions end-to-end, from SQL-based featureengineering to model development in Python and cloud deployment (AWS) Prototype and test new ideas that solve real business problems or spark client More ❯
this role, you will provide technical leadership in the development of our Causal AI platform, guiding both the vision and execution within our Product Engineering team, which includes software engineers, data scientists, and machine learning experts. While you will actively contribute to coding and algorithm development, you will also … development of advanced Causal AI algorithms, with a focus on time series and tabular data, ensuring they are optimised for scalability and performance. Overseeing featureengineering and machine learning initiatives to deliver robust, production-quality solutions. Providing mentoring and technical guidance to junior engineers and data scientists, fostering …/UI design, to seamlessly integrate Causal AI capabilities into our platform's architecture. A minimum of 5 years of experience in machine learning engineering or a related field, with demonstrated success in deploying machine learning models into production environments. Strong academic background in a quantitative discipline (e.g., machine More ❯
for High-Frequency Strong proficiency in Python , C++, or other relevant languages. Deep understanding of AI and machine learning algorithms , including time series modeling, featureengineering, and model interpretability. Experience with market microstructure , order book dynamics, and execution strategies. Background in quantitative research , algorithmic trading, or data science. More ❯
for High-Frequency Strong proficiency in Python , C++, or other relevant languages. Deep understanding of AI and machine learning algorithms , including time series modeling, featureengineering, and model interpretability. Experience with market microstructure , order book dynamics, and execution strategies. Background in quantitative research , algorithmic trading, or data science. More ❯
Quantitative Developer | Systematic Research A high-performing global quant fund is scaling its Research Engineering function — and we're looking for a Quantitative Developer who's already familiar with the demands of a hedge fund or trading environment. You'll be embedded directly in the research process, working shoulder … to-shoulder with quants and PMs, building and owning the infra that powers alpha generation. What You’ll Actually Be Doing Engineering research tools in Python and C++ , built for scale and speed Designing systems to handle massive data ingestion , featureengineering, and backtesting Collaborating directly with … ll Need to Bring 5+ years in a systematic trading or quant research environment Fluency in Python and/or C++, with a strong engineering mindset Hands-on with distributed systems , data pipelines , or ML tooling Ability to partner with researchers without translation layers Comfortable with ownership, ambiguity, and More ❯
Quantitative Developer | Systematic Research A high-performing global quant fund is scaling its Research Engineering function — and we're looking for a Quantitative Developer who's already familiar with the demands of a hedge fund or trading environment. You'll be embedded directly in the research process, working shoulder … to-shoulder with quants and PMs, building and owning the infra that powers alpha generation. What You’ll Actually Be Doing Engineering research tools in Python and C++ , built for scale and speed Designing systems to handle massive data ingestion , featureengineering, and backtesting Collaborating directly with … ll Need to Bring 5+ years in a systematic trading or quant research environment Fluency in Python and/or C++, with a strong engineering mindset Hands-on with distributed systems , data pipelines , or ML tooling Ability to partner with researchers without translation layers Comfortable with ownership, ambiguity, and More ❯
pricing, predictive analytics, and customer engagement. Ensure models are scalable and repeatable across multiple clients. Work with structured and unstructured data, performing EDA and feature engineering. Deploy models in cloud environments (AWS, Azure, or GCP). Apply statistical and mathematical methods to solve commercial problems. Collaborate with engineers to … Looking For 1–2 years of experience in a Data Science, ML, or AI role. A first-class STEM degree (Maths, Stats, Computer Science, Engineering, etc.) from a top university. Strong foundation in statistics, probability, and applied mathematics. Proficiency in Python (Pandas, NumPy, Scikit-learn). Experience with cloud … platforms (AWS, Azure, or GCP) for data processing or model deployment. Familiarity with SQL and relational databases. Exposure to ML engineering concepts such as model automation and scaling. Excellent communication skills and ability to translate data insights into business impact. If this role looks like it could be of More ❯
solve business challenges. Collect, clean, and preprocess large datasets to ensure accuracy and reliability. Implement and fine-tune machine learning models, optimizing performance through feature engineering. Work with programming languages such as Python, Java, or Scala to build and deploy solutions. Analyze and interpret model results, providing insights and … You’ll Need: 1 to 7 years of experience in data science, AI, or machine learning. A Master’s or PhD in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field. Strong proficiency in machine learning techniques, including model training, testing, and feature selection. Experience with big More ❯
solve business challenges. Collect, clean, and preprocess large datasets to ensure accuracy and reliability. Implement and fine-tune machine learning models, optimizing performance through feature engineering. Work with programming languages such as Python, Java, or Scala to build and deploy solutions. Analyze and interpret model results, providing insights and … You’ll Need: 1 to 7 years of experience in data science, AI, or machine learning. A Master’s or PhD in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field. Strong proficiency in machine learning techniques, including model training, testing, and feature selection. Experience with big More ❯
junior team members, fostering a collaborative environment. Independently manage client relationships and project expectations. Develop and deploy ML models, applying innovative approaches beyond basic feature engineering. Use Python, SQL, and Tableau for reporting and analysis within an AWS environment. Work closely with Data Engineering, Sales, and Market Research … decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial More ❯
junior team members, fostering a collaborative environment. Independently manage client relationships and project expectations. Develop and deploy ML models, applying innovative approaches beyond basic feature engineering. Use Python, SQL, and Tableau for reporting and analysis within an AWS environment. Work closely with Data Engineering, Sales, and Market Research … decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial More ❯
