Traditional Data Scientist

EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. 

We are headquartered in New York and have more than 59,000 employees spanning six continents. For more information, visit www.exlservice.com.

Role Title: Data Scientist

BU/Segment: Analytics / Data Management

Location:   London, United Kingdom (Flexible hybrid working) 

Employment Type: Permanent or Umbrella Contractor

Summary of the role:

EXL is looking for an experienced Traditional Data Scientist with 6–10 years of hands-on experience to join our growing Data & AI team. The ideal candidate will be a problem solver and technical expert in statistical modelling and machine learning, with the ability to deliver actionable insights from large and complex datasets. This role will support our key insurance clients and play a critical part in developing predictive models to drive business outcomes

As part of your duties, you will be responsible for:

• Designing, developing, and evaluating supervised (classification and regression) and unsupervised machine learning models.
• Handling end-to-end model lifecycle: data preprocessing, exploratory data analysis (EDA), model building, evaluation, and implementation.
• Building and refining predictive models such as:
•     - Classification: Logistic Regression, Decision Tree, Random Forest.
•     - Regression: Linear Regression, Gradient Boosting, Neural Networks, KNN.
•     - Unsupervised learning: K-means and other clustering techniques.
• Developing propensity models and related solutions within the insurance business domain (Underwriting and Claims).
• Conducting NLP-based data extraction and summarisation, including OCR-based document classification.
• Working with cloud-based platforms such as AWS SageMaker and Databricks for scalable model deployment.
• Collaborating with internal stakeholders, business users, and clients to translate data findings into actionable strategies.

Qualifications and experience we consider to be essential for the role:

• 6–10 years of hands-on experience in data science and machine learning roles.
• Strong programming skills in Python for data processing and model development.
• Solid knowledge and implementation experience of statistical modelling techniques.
• Experience in AWS SageMaker, Databricks, and related data science tools/platforms.
• Exposure to NLP techniques for text extraction and classification tasks.
• Experience building and deploying predictive models within the insurance domain, especially in underwriting and claims.
• Prior experience working with large structured and unstructured datasets in a business context.

Skills and Personal attributes we would like to have:

• Familiarity with Palantir Foundry and AIP is a strong advantage.
• Proven track record of delivering business impact through analytical solutions.
• Strong communication skills to explain technical results to non-technical audiences.
• Team player with the ability to work independently in a fast-paced, client-facing environment.
• Proactive, curious, and passionate about solving real-world problems using data.

As part of a leading global analytics and digital solutions company, you can look forward to:

• A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension.
• EXL provides everyday financial well-being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories.
• At EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies.
• As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status.
• EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP).
• At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration.

To be considered for this role, you must already be eligible to work in the United Kingdom.