Senior Data Scientist - Fintech

Placements24; Southampton; A distancia; GBP 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Stock options

Remote stipend

Professional development budget

Flexible hours

Global fintech impact

Descripción de la vacante

Placements24 is seeking a Senior Data Scientist to join their forward-thinking fintech team in a fully remote role. You will build and deploy ML models for fraud detection, credit scoring, and personalized financial services, leveraging large datasets to drive product development and strategy.

The ideal candidate has a PhD or MSc, 5+ years in data science, strong Python or R skills, SQL, and experience with Spark/Hadoop. Excellent remote communication and collaboration are essential.

Formación

• PhD or MSc in CS, statistics, math or related field.
• 5+ years of data science experience focused on ML.
• Proficiency in Python or R and ML libraries.
• Strong SQL skills and experience with Spark/Hadoop.
• Strong statistical modeling, experimental design, and evaluation.
• Experience translating business problems into data solutions.
• Excellent remote communication and collaboration skills.

Responsabilidades

• Design, develop, and deploy ML models for analytics and risk.
• Extract, clean, and transform large datasets from diverse sources.
• Perform exploratory data analysis to identify insights.
• Collaborate with product, engineering, and stakeholders.
• Develop and maintain data pipelines ensuring scalability.
• Stay updated on data science and AI advancements.
• Communicate findings clearly to technical and non-technical audiences.

Conocimientos

Communication

Collaboration

Problem solving

Remote work

Educación

PhD or MSc in CS/Stats/Math

Herramientas

Python

R

TensorFlow

PyTorch

scikit-learn

SQL

Spark

Hadoop

Descripción del empleo

About the Role

Our client is a forward-thinking fintech company seeking a highly skilled Senior Data Scientist to join their innovative team. This fully remote role will leverage vast datasets to drive product development, enhance customer experience, and optimize business strategies. You will tackle complex challenges in areas such as fraud detection, credit scoring, and personalized financial services. The ideal candidate is a proactive problem-solver, passionate about extracting actionable insights from data, and experienced in applying machine learning techniques within the financial services domain, contributing significantly to the company's technological advancements.

Key Responsibilities

• Design, develop, and deploy sophisticated machine learning models for predictive analytics, risk assessment, and personalization.
• Extract, clean, and transform large, complex datasets from various sources for analysis.
• Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement.
• Collaborate with product managers, engineers, and business stakeholders to define data-driven solutions.
• Develop and maintain data pipelines and ensure the integrity and scalability of analytical solutions.
• Stay abreast of the latest advancements in data science, machine learning, and AI.
• Communicate complex findings and recommendations clearly to technical and non-technical audiences.

Requirements

• Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of professional experience in data science, with a focus on machine learning applications.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Expertise in SQL and experience with big data technologies (e.g., Spark, Hadoop).
• Strong understanding of statistical modeling, experimental design, and model evaluation techniques.
• Proven ability to translate business problems into data science solutions.
• Excellent communication and collaboration skills, adept at working in a remote environment.

Benefits

• Highly competitive salary and stock options package.
• Comprehensive health, dental, and vision insurance.
• Generous remote work stipend and professional development budget.
• Opportunity to work on cutting-edge fintech solutions with a global impact.
• Flexible working hours and a results-oriented culture.