91����ԭ��

Data Scientist - Regulatory Scanning Initiative

‍

About 91����ԭ��:

91����ԭ�� is a leading Regulatory Technology (RegTech) platform created to remove the risk of non-compliance in the payments, gambling and financial industries. We deliver comprehensive, time-sensitive, and actionable regulatory intelligence for the payments and gambling sectors across the globe, where rules differ from one jurisdiction to the next. Today, the 91����ԭ�� platform provides raw information on regulations spanning more than 180 jurisdictions worldwide. Our mission is to empower businesses to efficiently manage and meet their regulatory obligations through our innovative SaaS tools.

‍

About the role:

We are looking for an experienced Lead Data Scientist to spearhead the data science efforts within our Regulatory Scanning Initiative. The ideal candidate will have a strong background in data science, machine learning, and predictive analytics, with a proven ability to lead projects and teams. This role involves developing and implementing advanced data processing and analysis techniques to enhance our regulatory scanning capabilities, increase operational efficiency, and expand our coverage to multiple industries and jurisdictions.

‍

Key Responsibilities:

Leadership and Strategy:

• Providing strategic direction and technical guidance for data science inititices
• Collaborate with the Head/Manager of Regulatory Scanning to define and execute data science strategies that align with business objectives.
• Mentor and develop analysts, fostering a culture of continuous learning and innovation.

Data Processing and Modeling:

• Design and implement data pipelines for ingesting and processing large volumes of regulatory data from diverse sources.
• Develop machine learning models and algorithms for data categorization, contextualization, and predictive analytics.
• Ensure the accuracy, quality, and relevance of data insights provided to internal stakeholders and customers.

Predictive Analytics and Trend Analysis:

• Leverage predictive analytics to identify emerging regulatory trends and potential future changes.
• Create models to forecast the impact of regulatory changes on different industries and jurisdictions.
• Develop and refine methods for prioritizing regulatory updates based on customer relevance.

Collaboration and Integration:

• Work closely with product managers, developers, and regulatory analysts to integrate data science solutions into 91����ԭ��’s technology stack.
• Collaborate with other departments to ensure data-driven decision-making and alignment with overall business goals.
• Communicate complex data insights in a clear and actionable manner to non-technical stakeholders.

Innovation and Continuous Improvement:

• Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence.
• Identify and implement new tools, techniques, and technologies to enhance data processing and analysis capabilities.
• Continuously improve data science workflows and methodologies to increase efficiency and effectiveness.

‍

Qualifications:

Education:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. A Ph.D. is a plus.

Experience:

• Proven experience as a Data Scientist, with a track record of successfully leading data science projects.
• Strong expertise in machine learning, statistical modeling, and predictive analytics.
• Experience in RegTech, FinTech, or related industries is highly desirable.
• Demonstrated experience in managing and mentoring teams.

Technical Skills:

• Proficiency in programming languages such as Python, R, or similar.
• Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn).
• Strong knowledge of SQL and database management.
• Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure).

Soft Skills:

• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills.
• Ability to work in a fast-paced, dynamic environment and manage multiple priorities.

Preferred Qualifications:

• Experience with natural language processing (NLP) and text analytics.
• Knowledge of regulatory frameworks and compliance requirements.
• Familiarity with agile development methodologies.

‍

Our Benefits:

-Hybrid Working (2 days in the office)

-Flexible working hours

-20 days working abroad

-Salary sacrifice car scheme

-Pension

-Health insurance

-Cycle to work scheme

-Dental

-Mental health wellbeing support

‍

Our Core Values:

/vixio-values