Data Scientist

VIXIO GamblingCompliance
London
11 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Regulatory Scanning Initiative

About Vixio:

Vixio 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 Vixio 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 Vixio’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.

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.