Senior Data Scientist

We are seeking a Senior Data Scientist to play a pivotal role in our growing EMAP Data Science team. This position is ideal for an accomplished professional passionate about advanced analytics, innovation, and delivering impactful solutions to clients.

Role Purpose

The primary goal of this role is to design, develop, and deliver innovative data science solutions that address complex business challenges and create measurable value for our clients. The successful candidate will combine expertise in programming, data engineering, statistical modelling, machine learning, and Generative AI to transform data into actionable insights and scalable solutions.

Working closely with clients and internal stakeholders, you will identify opportunities, strengthen strategic relationships, and develop analytical products and prototypes that support data-driven decision making and business growth. You will leverage large and diverse datasets, anticipate challenges, and deliver high-quality solutions that generate tangible impact.

Responsibilities

• Evaluate and acquire new data assets

• Develop new product prototypes

• Provide sales support and consultancy

• Analyze, and document large datasets

• Apply machine learning, data mining, and text mining techniques to extract value from data

• Validate model and score performance

• Document and present modeling processes and outcomes

• Design analytical solutions for internal and external clients to address business problems. Design and deliver scalable analytics and AI solutions for internal and external clients to solve complex business challenges.

• Make independent decisions to develop new approaches and resolve uncertainty in complex scenarios

• Establish best practices for applying Experian and client data to create insights

• Define business assumptions for relevant solutions

• Create materials for knowledge sharing and roundtable discussions

• Lead programs to enhance client analytical solutions, data quality, model performance, and project timelines

• Guide team efforts to identify solutions

• Share expertise and improve departmental contributions

• Provide mentoring within project teams

• Advocate for analytics through publications and presentations

• Proficiency in Python

• Understanding of data structures and their applications in marketing, risk, and customer management

• Familiarity with regression models, XGBoost, neural networks, SVM, and ensemble methods

• 3+ years of experience in defining scope and delivering customized analytics projects

• Expertise in advanced algorithms to solve practical business problems

Department: Analytics
Function: Information Technology
Experience Level: Not Applicable