Job description
We are looking for an experienced and driven Senior Data Scientist to join our team and lead the development of AI-powered solutions. As a Senior Data Scientist, you will work closely with teams to design, implement, and deploy data-driven solutions that drive business value. You will help shape our data science strategy, mentor junior team members, and ensure the robustness and scalability of our models in production environments.
What you'll need to bring to the role & Experian
A Bachelor's/Master's/Ph.D. degree in computer science, Statistics, Mathematics, Data Science, or a related field.
5+ years of experience in data science or machine learning, with a strong track record of delivering impactful solutions.
Proficiency in Python and ML frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar.
Experience with statistical modeling, time series forecasting, supervised and unsupervised learning, and optimization techniques.
Experience with generative AI principles.
Intermediate to fluent English proficiency technical concepts clearly in English is essential.
Experience working with financial datasets (e.g., credit scoring, fraud detection, risk modeling, pricing, or forecasting).
Proficiency in SQL and experience with relational and non-relational databases (e.g., PostgreSQL, CosmosDB, MongoDB).
Experience deploying models into production using Databricks and cloud platforms (AWS, GCP, or Azure).
Familiarity with MLOps practices, CI/CD pipelines, and model monitoring tools.
Experience with data visualization tools (e.g., Plotly, Tableau) to communicate insights effectively.
Work that matters - What you'll be doing
Lead the design, development, and deployment of machine learning models to solve high-impact financial problems.
Collaborate with product managers, engineers, and business stakeholders to define data science use cases and translate them into actionable solutions.
Analyse large-scale structured and unstructured datasets to extract insights and build predictive models.
Develop and maintain robust model training workflows.
Ensure model interpretability, fairness, and compliance with regulatory standards.
Mentor junior data scientists and contribute to the growth of the data science team.
Communicate findings and recommendations clearly to both technical and non-technical audiences.
More about you
Passion for using data to drive decisions.
A mindset for continuous learning and innovation.
Ethical awareness of bias, fairness, and transparency in AI models.
Why this role is important to us
This role is critical to our mission of leveraging data and AI to drive innovation across our services. As a Senior Data Scientist, your expertise will directly influence strategic decisions, improve customer outcomes, and enhance operational efficiency. You will collaborate closely with professionals from diverse backgrounds - including product, engineering, operations, and business strategy - to solve real-world challenges across multiple domains. Your insights will help shape our data science roadmap and deliver measurable value to the organization.
What you'll need to bring to the role & Experian
A Bachelor's/Master's/Ph.D. degree in computer science, Statistics, Mathematics, Data Science, or a related field.
5+ years of experience in data science or machine learning, with a strong track record of delivering impactful solutions.
Proficiency in Python and ML frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar.
Experience with statistical modeling, time series forecasting, supervised and unsupervised learning, and optimization techniques.
Experience with generative AI principles.
Intermediate to fluent English proficiency technical concepts clearly in English is essential.
Experience working with financial datasets (e.g., credit scoring, fraud detection, risk modeling, pricing, or forecasting).
Proficiency in SQL and experience with relational and non-relational databases (e.g., PostgreSQL, CosmosDB, MongoDB).
Experience deploying models into production using Databricks and cloud platforms (AWS, GCP, or Azure).
Familiarity with MLOps practices, CI/CD pipelines, and model monitoring tools.
Experience with data visualization tools (e.g., Plotly, Tableau) to communicate insights effectively.
Work that matters - What you'll be doing
Lead the design, development, and deployment of machine learning models to solve high-impact financial problems.
Collaborate with product managers, engineers, and business stakeholders to define data science use cases and translate them into actionable solutions.
Analyse large-scale structured and unstructured datasets to extract insights and build predictive models.
Develop and maintain robust model training workflows.
Ensure model interpretability, fairness, and compliance with regulatory standards.
Mentor junior data scientists and contribute to the growth of the data science team.
Communicate findings and recommendations clearly to both technical and non-technical audiences.
More about you
Passion for using data to drive decisions.
A mindset for continuous learning and innovation.
Ethical awareness of bias, fairness, and transparency in AI models.
Why this role is important to us
This role is critical to our mission of leveraging data and AI to drive innovation across our services. As a Senior Data Scientist, your expertise will directly influence strategic decisions, improve customer outcomes, and enhance operational efficiency. You will collaborate closely with professionals from diverse backgrounds - including product, engineering, operations, and business strategy - to solve real-world challenges across multiple domains. Your insights will help shape our data science roadmap and deliver measurable value to the organization.
Apply for this job
You'll be taken to the employer's application page.