Data Scientist

About Us

We are a global InsurTech company providing services to 300 motor insurance companies across 31 countries on 5 continents around the globe. With over 900 employees worldwide we have revolutionized the way car drivers and motor insurers connect to settle claims fairly and the same day. We focus on customer experience and continue to Redefine Rules as we digitize manual processes simplify and accelerate the settlement of motor claims for our clients. Through a combination of Artificial Intelligence and car expertise we are changing the automotive claims and repair industry.

Tasks

Duties

• Perform comprehensive data analysis to extract meaningful insights from large and complex datasets.
• Develop and implement cuttingedge predictive models and algorithms to address business challenges and opportunities.
• Utilize tools such as Python R TensorFlow and Keras to manipulate data conduct statistical analysis and create machine learning models.
• Collaborate with crossfunctional teams to understand business needs and align analytical solutions with strategic objectives.
• Drive innovation by exploring and integrating the latest tools technologies and methodologies within the field of data science.
• Create intuitive and impactful data visualizations to effectively communicate findings and recommendations to stakeholders.
• Act as a subject matter expert in data science advising on best practices methodologies and datarelated strategies.
• Collaborate with internal teams to ensure data quality accuracy and consistency throughout the analytical process.
• Proactively identify opportunities for improvement and optimization through datadriven insights.

Requirements

Knowledge & Experience

The successful candidate must have:

• Advanced degree (Masters or Ph.D.) in Data Science Computer Science Statistics or a related field.
• Proven expertise in data analysis statistical modelling machine learning and predictive analytics.
• Proficiency in programming languages such as Python R or similar for data manipulation and analysis.
• Experience with advanced machine learning frameworks like TensorFlow and Keras.
• Strong analytical thinking and problemsolving skills to address complex business challenges.
• Excellent communication skills with the ability to articulate technical concepts to nontechnical stakeholders.
• Ability to work independently and collaboratively in a remote environment demonstrating selfmotivation and initiative.
• A track record of delivering actionable insights and implementing datadriven solutions to drive business outcomes.
• Previous experience working with diverse datasets and extracting valuable insights from them.
• Demonstrated experience in deploying models into production environments (preferred).
• Familiarity with big data technologies and distributed computing framework (preferred).