Data Science Sênior

Descrio do trabalho

Work that matters - What youll 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
Strong problem-solving skills and a passion for using data to drive decisions.
Excellent communication and collaboration abilities.
Ability to manage multiple projects and priorities in a fast-paced environment.
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.

Qualifications :

Qualificaes

• A Bachelors/Masters/Ph.D. degree in computer science Statistics Mathematics Data Science or a related field.
• 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.
• Strong understanding of statistical modeling time series forecasting supervised and unsupervised learning and optimization techniques.
• Good understanding of generative AI concepts and principles.
•  Intermediate to fluent English proficiency ability to communicate 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.

Additional Information :

Our uniqueness is that we celebrate yours. Experians culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI work/life balance development authenticity collaboration wellness reward & recognition volunteering... the list goes on. Experians people first approach is award-winning; Worlds Best Workplaces 2024 (Fortune Top 25) Great Place To Work in 24 countries and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experians DNA and practices and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work irrespective of their gender ethnicity religion colour sexuality physical ability or age. If you have a disability or special need that requires accommodation please let us know at the earliest opportunity.

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Remote Work :

Yes

Employment Type :

Full-time