Data Science Lead — Sanctions Screening & ML
Data Science Lead — Sanctions Screening & ML

Data Science Lead — Sanctions Screening & ML

Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the Screening team and develop machine learning solutions for customer safety.
  • Company: Global tech company based in London with a focus on innovation.
  • Benefits: Competitive salary and the chance to shape impactful systems.
  • Why this job: Make a real difference in customer safety while leading a diverse Data Science team.
  • Qualifications: Strong programming skills and expertise in machine learning required.
  • Other info: Exciting opportunity for career growth in a dynamic environment.

The predicted salary is between 43200 - 72000 £ per year.

A global technology company based in London is seeking a Data Science Lead to head their Screening team. In this key role, you will develop machine learning-based solutions to ensure customer safety through effective sanctions screening. This position offers an exciting chance to shape the Data Science team and create impactful systems in a diverse environment.

The ideal candidate will have strong programming skills, expertise in machine learning, and experience in the screening domain. Competitive salary offered.

Data Science Lead — Sanctions Screening & ML employer: Wise

As a leading global technology company based in London, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our employees benefit from competitive salaries, comprehensive growth opportunities, and the chance to make a significant impact in the field of data science, particularly in developing cutting-edge machine learning solutions for sanctions screening. Join us to be part of a forward-thinking team that values diversity and empowers you to shape the future of technology.
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Contact Detail:

Wise Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Science Lead — Sanctions Screening & ML

Tip Number 1

Network like a pro! Reach out to folks in the data science community, especially those working in sanctions screening or machine learning. A friendly chat can open doors and give you insights that might just land you that lead role.

Tip Number 2

Show off your skills! Create a portfolio showcasing your machine learning projects, particularly those related to screening. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.

Tip Number 3

Prepare for interviews by brushing up on common data science scenarios and machine learning challenges. We recommend practising with friends or using mock interview platforms to build your confidence and refine your answers.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Data Science Lead — Sanctions Screening & ML

Machine Learning
Programming Skills
Sanctions Screening
Data Science
Team Leadership
System Development
Problem-Solving Skills
Diversity Awareness

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your programming skills and machine learning expertise. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects or achievements!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about sanctions screening and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.

Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in the past, especially in the screening domain. We’re looking for innovative thinkers who can develop impactful solutions, so let us know how you’ve done this before!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and you’ll be all set!

How to prepare for a job interview at Wise

Know Your Machine Learning Stuff

Make sure you brush up on your machine learning concepts and algorithms. Be ready to discuss how you've applied these in real-world scenarios, especially in sanctions screening. We recommend preparing a couple of examples that showcase your problem-solving skills and the impact of your work.

Show Off Your Programming Skills

Since strong programming skills are a must for this role, be prepared to demonstrate your coding abilities. We suggest practising coding challenges or even discussing past projects where you used programming to solve complex problems. This will show your technical prowess and your ability to lead a team effectively.

Understand the Screening Domain

Familiarise yourself with the latest trends and regulations in sanctions screening. We advise researching the company’s approach to compliance and risk management. Being able to discuss how your expertise aligns with their needs will definitely set you apart from other candidates.

Prepare Questions for Them

Interviews are a two-way street, so think of insightful questions to ask about the team dynamics and the company's vision for the Data Science department. We believe this shows your genuine interest in the role and helps you assess if it’s the right fit for you.

Data Science Lead — Sanctions Screening & ML
Wise
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  • Data Science Lead — Sanctions Screening & ML

    Full-Time
    43200 - 72000 £ / year (est.)
  • W

    Wise

    1000+
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