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- Tasks: Use advanced analytics and machine learning to drive lead generation in the payments industry.
- Company: Join Worldpay, a leader in innovative payment solutions and a global community of changemakers.
- Benefits: Enjoy competitive salary, global recognition, and time for charity work.
- Other info: Dynamic London hub with excellent career development opportunities.
- Why this job: Make a real impact on the future of payments while growing your career.
- Qualifications: 5+ years in data science, expertise in Python/SQL, and a passion for business growth.
The predicted salary is between 60000 - 80000 £ per year.
Are you ready to write your next chapter? Make your mark at one of the biggest names in payments. With proven technology, we process the largest volume of payments in the world, driving the global economy every day. When you join Worldpay, you join a global community of experts and changemakers, working to reinvent an industry by constantly evolving how we work and making the way millions of people pay easier, every day.
What makes a Worldpayer? It’s simple: Think, Act, Win. We stay curious, always asking the right questions to be better every day, finding creative solutions to simplify the complex. We’re dynamic, every Worldpayer is empowered to make the right decisions for their customers. And we’re determined, always staying open – winning and failing as one.
We’re looking for a Senior Data Scientist/Engineer – Lead Generation and Prospecting to join our ever-evolving Global SMB team to help us unleash the potential of every business.
About the team: As a forward-thinking finance company based in London, we specialize in innovative payment solutions aimed at streamlining and enhancing the payment processes for businesses and consumers. Our mission is to revolutionize the payments industry by leveraging cutting-edge technology and data-driven insights to foster financial inclusion and efficiency. Join our dynamic team and play a crucial role in driving new business generation and shaping the future of payments.
We are in search of a Senior Data Scientist/Engineer with a strong background in finance and a knack for new business generation. This role is pivotal for our lead generation and prospecting efforts, using advanced analytics and machine learning to identify and engage potential clients in the payments sector. The ideal candidate will possess a unique blend of technical data skills, business acumen, and an entrepreneurial spirit to drive growth and expand our market presence.
What you’ll own:
- Utilize advanced data analytics and machine learning techniques to identify high-value prospects and generate leads in the payments industry.
- 5 + years experience working as a Data Scientist and Data Engineer.
- Design and implement propensity models to predict potential client engagement and conversion rates, optimizing our prospecting strategies.
- Analyze transactional and financial data to uncover trends and insights that inform targeted marketing and sales strategies.
- Identify and evaluate new data sources (internal and external) to support and drive improvements in predictive models.
- Work closely with the marketing and sales teams to refine lead qualification processes, enhance lead scoring models, and streamline lead generation efforts.
- Develop and maintain Python/SQL-based automated workflows for efficient data preparation, modelling and execution of marketing/prospecting strategies.
- Present data-driven insights and recommendations to stakeholders to drive strategic decisions and new business initiatives.
- Continuously monitor the effectiveness of lead generation strategies and adjust models and approaches based on performance data and market feedback.
Where you’ll own it:
You’ll own it in our London hub. With hubs in the heart of city centers and tech capitals, things move fast. We pride ourselves on being an agile and dynamic collective, collaborating with different teams and offices across the globe.
What you bring:
- Proven experience in data science with a focus on targeted marketing, lead generation and new business development.
- Expert in Python and SQL and experience with data preparation, cleaning, and modelling.
- Expertise in building and deploying machine learning models, especially related to customer behavior, segmentation, and propensity analysis.
- Excellent analytical and problem-solving abilities, with a track record of translating data insights into successful business outcomes.
- Entrepreneurial mindset with the ability to operate in a fast-paced environment and contribute to multiple projects with varying deadlines.
- Bachelor’s or master’s degree in Statistics, Mathematics, Computer Science, Finance, or a related field.
Desirable (not required):
- Experience working in a Snowflake platform environment.
- Working with API’s.
- Experience integrating data solutions with Salesforce CRM.
Worldpay perks - what we’ll bring for you:
We know it’s bigger than just your career. It’s your life, and your world. That’s why we offer global benefits and programs to support you at every stage. Here’s a taste of what you can expect.
- A competitive salary and benefits.
- Time to support charities and give back to your community.
- Parental leave policy.
- Global recognition platform.
- Virgin Pulse access.
- Global employee assistance program.
At Worldpay, we take our Values seriously, and we live them every day. Think like a customer, Act like an owner, and Win as a team. Curious. Humble. Creative. We ask the right questions, listening and learning to get better every day. We simplify the complex and we’re always looking to create a bigger impact for our colleagues and customers. Empowered. Accountable. Dynamic. We stay agile, using our initiative, taking calculated risks to progress. Never standing still, never settling, we work at pace to achieve our goals. We champion our ideas and stay flexible to make them happen. We know that every action adds up. Determined. Inclusive. Open. Unlocking potential means working as one global community. Our work spans borders, and we stay united by our purpose. We collaborate, always encouraging others to perform at their best, welcoming new perspectives.
Does this sound like you? Then you sound like a Worldpayer. Apply now to write the next chapter in your career. We can’t wait to hear from you.
Senior Data Scientist/Engineer - Lead Generation and Prospecting in London employer: Worldpay
Contact Detail:
Worldpay Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist/Engineer - Lead Generation and Prospecting in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the payments industry. Attend meetups, webinars, or even just grab a coffee with someone who works at Worldpay. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or case studies, make sure to highlight them during interviews. Demonstrating your data science prowess with real examples can really set you apart from the competition.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your technical knowledge and be ready to discuss your experience with Python, SQL, and machine learning. The more confident you are in your answers, the better your chances of impressing the interviewers.
✨Tip Number 4
Don’t forget to follow up! After your interview, shoot a quick thank-you email to express your appreciation for the opportunity. It shows you're genuinely interested and keeps you fresh in their minds as they make their decision.
We think you need these skills to ace Senior Data Scientist/Engineer - Lead Generation and Prospecting in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Data Scientist/Engineer role. Highlight your experience in data analytics and machine learning, especially as it relates to lead generation and prospecting. We want to see how your skills align with our mission at Worldpay!
Showcase Your Achievements: Don’t just list your responsibilities; share your successes! Use specific examples of how you've used data to drive business outcomes or improve processes. This will help us understand the impact you've made in your previous roles.
Be Authentic: Let your personality shine through in your application. We value curiosity and creativity, so don’t hesitate to express your passion for data science and how you can contribute to our dynamic team at Worldpay. We’re looking for someone who fits our culture!
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, you’ll get a feel for our company culture while you’re there!
How to prepare for a job interview at Worldpay
✨Know Your Data Inside Out
As a Senior Data Scientist/Engineer, you’ll need to showcase your expertise in data analytics and machine learning. Brush up on your Python and SQL skills, and be ready to discuss specific projects where you've successfully implemented these technologies. Prepare to explain how your analytical insights have driven business outcomes.
✨Understand the Payments Landscape
Familiarise yourself with the payments industry and Worldpay's role within it. Research current trends, challenges, and innovations in payment solutions. This knowledge will help you demonstrate your passion for the sector and how you can contribute to their mission of revolutionising payments.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and how you approach lead generation and prospecting. Think of examples where you've used data to identify high-value prospects or optimise marketing strategies. Be ready to walk through your thought process and the impact of your decisions.
✨Show Your Entrepreneurial Spirit
Worldpay values an entrepreneurial mindset, so be prepared to discuss how you've taken initiative in past roles. Share examples of how you've contributed to multiple projects, adapted to fast-paced environments, and made decisions that positively impacted your team or organisation.