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Lead a data science team in India to build predictive models for marketing campaigns, optimizing direct mail and paid media efforts to improve customer targeting and ROI for a fintech small-business banking platform.
We're looking for a curious and motivated Data Scientist to join our Data & AI team and become the company's future in-house expert on our AI platforms and solutions. Reporting to the Tech Lead, Data &…
Leads a data science team at Alfa-Bank building and optimizing ML models for corporate lending — client propensity, sensitivity, and forecasting models. Day to day: managing the model backlog, reviews, and team, plus productionizing models with DE/MLOps teams. Stack: classic ML in Python (LightGBM/XGBoost/CatBoost, scikit-learn, pandas) and Spark/Hadoop/Hive.
Salary: 130 -150 WE’RE HIRING | Lead Data Scientist | Australia-wide Vectiq is looking for an experienced Lead Data Scientist to join a complex Australian Government environment and contribute to the development of…
Data Scientist – AI/ML Project Lead Key Responsibilities • Manage end-to-end Data Science and AI/ML projects, from problem definition and planning through testing, deployment, and handover. • Engage business…
Why This Role Matters The Senior Specialist, Data Science & Artificial Intelligence II accelerates business value creation through the application of advanced analytics, machine learning, and Generative AI…
Sydney, Melbourne, Brisbane or Perth Location with Hybrid Working. Set the technical direction for fraud and financial-crime data science. Assure consequential decisions, develop senior practitioners and turn portfolio…
At Gilead, we’re creating a healthier world for all people. For more than 35 years, we’ve tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer – working relentlessly to develop therapies that help improve…
Hands-on Data Science Lead role at ShareForce in Basingstoke (hybrid, 2-3 days onsite). The hire takes end-to-end ownership of four production predictive models, transfers knowledge from an external partner to build an internal team, and shapes data science, AI and model governance in a regulated environment using Python, SQL, Microsoft Azure and Databricks.
Experienced data scientist on Wise's London-based Customer Support team (partnered with Budapest) measuring support quality, diagnosing root causes, and shaping the automation strategy. Core stack: SQL, Python, statistics, causal inference, experiments, and ML/NLP/LLM techniques applied to customer and conversational data.
Senior Data Scientist at Brillio (Bangalore) translating business challenges into data science problems, building and validating statistical/ML models, and communicating insights to stakeholders. Core stack: Python/R, Tableau/Power BI, Spark/Hadoop, AWS/Azure/GCP, MLOps, with exposure to agentic AI.
Lead a quant research team to turn ML models into live trading strategies and mentor junior researchers, using Python and rigorous validation methods.
Hands-on team lead Data Scientist at a fintech building predictive models for the SMB segment: credit scoring (PD/LGD), an analytics/modeling platform, and a financial-product recommender. Roughly 80% hands-on Python/SQL classical ML work, 20% leading a small team of 1 DS and 2 DA.
Lead Data Scientist on Grab's People Science team, building predictive people-analytics models (flight risk, engagement, cost), self-service analytics tools, and dashboards for non-technical HR stakeholders. Hands-on work with SQL, Python/R/SAS, and BI tools like Tableau and Power BI, partnering closely with People Operations.
Leads a data science engineering team at an agricultural-tech company that uses beneficial plant microbes, building scalable web services and APIs that put machine-learning crop models into production across tens of millions of acres of farm data. Core stack: Python, R (NumPy, Scikit-learn, Matplotlib), REST/GraphQL APIs, and microservices.
Lead AI Engineer who develops advanced generative AI and data science solutions while leading a multidisciplinary team. Day-to-day work centers on Python-based machine learning development using frameworks like TensorFlow or PyTorch.
Lead a multidisciplinary data science team at a MedTech company building AI decision-support software for cardiac electrophysiology. The role combines technical leadership of ML/deep learning algorithm development (Python, PyTorch, scikit-learn) with people management, and ensuring compliance with medical device regulatory standards in an on-site Marseille setting.
Lead Data Scientist at JPMorgan Chase's Cybersecurity & Technology Controls team, designing and delivering scalable machine learning and advanced analytics solutions to tackle cybersecurity and technology risk challenges. Core technical contributor role based in McLean.
Lead AI Engineer embedded with William Blair's investment banking deal teams, building LLM-powered agents, data pipelines (Databricks/Dagster), and Salesforce integrations for banking workflows, while setting team-wide engineering standards for architecture, CI/CD, testing, and deployment.
Lead Data Scientist (Agentic AI) | Series-A Start-Up | £100,000-£130,000 DOE + Shares | London / Hybrid (1 Day Office) We’re partnering with a fast-growing AI tech scale-up expanding its team, who are hiring for a Lead…
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