Senior Data Scientist

Key Skills

Data Analysis, Data science techniques, DataRobot, Effective communication skills, PowerBI, Python Programming, R Programming, SQL, Statistics, Tableau

Job Description

The role provides an excellent opportunity to join our Latin American and Caribbean reinsurance broking team and become closely involved with (re)insurance companies throughout the region. You will be part of our international, fast growing and dynamic analytics / actuarial team that is committed to leveraging advanced data analytics and actuarial science to help our clients understand risk and support them in their decision making process.

What can you expect?

• To enhance our service offering we are looking for a skilled Data Scientist with expertise in predictive modelling, preferably with knowledge of Data Robot. By focusing on the development of predictive models you will play a crucial role in extracting valuable insights from portfolio data to help our clients drive their business growth, their profitability and mitigate risks effectively.
• In addition, you will be responsible for driving the development of big data analysis and processing within the actuarial team.
• To achieve the best results, you will closely collaborate with the analytics team member, our broking teams as well as our clients.

What you will be rewarded with?

• We offer and embrace a hybrid working model that nurtures a collaborative working environment in the office 3 days per week allowing 2 days per week to be spent working on a remote basis.
• Competitive Benefits Package including: 27 days annual leave, up to 4 days flexible bank holidays, excellent pension contributions, private medical cover, life assurance, income protection, employee assistance program, plus a range of flexible benefits including the option to buy or sell up to 5 days holiday per year, cycle to work, dental insurance, health assessments plus many more.
• Generous Family Leave including: 6 months paid maternity leave, 4 months paid paternity leave, 6 months paid adoption leave plus shared parental leave options. To help ease the transition when you return to work you will be able to work 8 weeks at 80% of your normal work pattern and receive 100% of your normal salary.
• Competitive actuarial study programme (IFoA, CAS, SOA)

We will count on you to:

• Predictive Modelling: Develop and implement cutting-edge predictive models using advanced statistical analysis, machine learning, and artificial intelligence techniques to support risk assessment, pricing optimization, and underwriting decisions of our clients.
• Data Analysis: Conduct exploratory data analysis to identify patterns, trends, and anomalies in complex datasets, extracting meaningful insights that inform business strategies and decision-making.
• Model Development: Build, refine, and optimize predictive models using industry-standard software (Data Robot) and programming languages (such as Python, R) with a focus on accuracy, efficiency, and interpretability.
• Data Preparation: Collaborate with cross-functional teams and clients to curate, cleanse, and transform large-scale data sets, ensuring data quality and compatibility with modelling algorithms.

• Collaboration and Communication: Collaborate with internal stakeholders and clients to define project requirements, present findings, and provide recommendations in a clear and concise manner. Create clear and compelling visualizations and reports to communicate complex data findings to clients and brokers. Communicate and present results and conclusions to brokers and clients in clear terms, tailored to the audience and providing value-adding service as needed.
• Research and Innovation: Stay abreast of the latest industry trends, emerging technologies, and best practices related to predictive modelling, machine learning, and data science, and apply this knowledge to drive continuous improvement within our team.

What you need to have: 

• Proven experience as a Data Scientist, with a focus on predictive modelling and statistical analysis.
• Fluency in Spanish
• Strong knowledge of predictive modelling techniques, including linear regression, logistic regression, decision trees, random forests, gradient boosting, neural networks, etc.
• Proficiency in programming languages such as Python and R, with experience in data manipulation, model development, and evaluation.
• Solid understanding of database structures, data querying languages (SQL), and data processing frameworks (e.g., Apache Spark) for efficient data extraction and manipulation.
• Experience with data visualization tools (e.g., Tableau, Power BI) to create clear and compelling visual representations of complex data sets.
• Excellent analytical, problem-solving, and critical-thinking skills, with a keen attention to detail.
• Strong communication and collaboration abilities, with the capability to effectively communicate complex concepts to both technical and non-technical stakeholders.
• Strong ability to work in a collaborative team and autonomously and to build strong working relationships with brokers and clients.
• Excellent oral and written communication skills in Spanish and English - Portuguese is desirable.
• Excellent project management skills.
• Willingness to travel.

What will make you stand out:

• DataRobot experience (or similar automated machine learning platforms)
• Excellent oral and written communication skills in Spanish and English - Portuguese is desirable.
• Strong communication and collaboration abilities
• Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Data Science, or a related discipline).
• Experience in the (re)insurance industry or an actuarial background are highly desirable