At a Glance
- Tasks: Leverage data analytics and machine learning to drive lead generation in the payments industry.
- Company: Join Worldpay, a leader in innovative payment solutions and global community of changemakers.
- Benefits: Competitive salary, community support, parental leave, and global recognition programs.
- Other info: Dynamic London hub with excellent career growth and collaborative culture.
- Why this job: Make a real impact in revolutionising the payments industry with cutting-edge technology.
- Qualifications: 5+ years in data science, expertise in Python/SQL, and strong analytical skills.
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 – Commercial Optimisation to join our ever-evolving Global SMB team to help us unleash the potential of every business. Are you ready to make your mark? Then you sound like a Worldpayer.
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 centres 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 APIs.
- 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.
What makes a Worldpayer:
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.
To find out more about working with us, find us on LinkedIn.
Senior Data Scientist/Engineer - Commercial Optimisation in London employer: Worldpay
At Worldpay, we pride ourselves on being an exceptional employer, offering a vibrant work culture in the heart of London that fosters innovation and collaboration. Our commitment to employee growth is evident through our global benefits, including competitive salaries, parental leave, and opportunities for community engagement, ensuring that every team member feels valued and empowered to make a meaningful impact in the payments industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist/Engineer - Commercial Optimisation in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Worldpay on LinkedIn. Ask them about their experiences and any tips they might have for your application. A personal connection can really help you stand out!
✨Tip Number 2
Prepare for the interview by brushing up on your data science skills. Be ready to discuss your experience with Python, SQL, and machine learning models. Show us how you've used these skills to drive business outcomes in the past!
✨Tip Number 3
Don’t just talk about your technical skills; highlight your entrepreneurial mindset too! Share examples of how you've taken initiative in previous roles to solve problems or generate leads. We love a go-getter!
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Worldpay!
We think you need these skills to ace Senior Data Scientist/Engineer - Commercial Optimisation 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, and how it aligns with Worldpay's mission to revolutionise payments.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples from your past work that showcase your expertise in Python, SQL, and any relevant projects that involved lead generation or predictive modelling.
Be Authentic:Let your personality shine through in your application. Worldpay values curiosity and creativity, so don’t hesitate to share your unique approach to problem-solving and how you’ve made an impact in previous roles.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows your enthusiasm for joining our dynamic team at Worldpay!
How to prepare for a job interview at Worldpay
✨Know Your Data Inside Out
As a Senior Data Scientist/Engineer, you’ll need to demonstrate 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.
✨Showcase Your Business Acumen
Worldpay is looking for someone with a knack for new business generation. Be prepared to discuss how your data-driven strategies have led to successful lead generation and client engagement. Think of examples where your insights directly influenced marketing or sales strategies.
✨Emphasise Collaboration Skills
This role involves working closely with marketing and sales teams. Highlight your experience in cross-functional collaboration and how you’ve contributed to refining processes or enhancing models. Share specific instances where teamwork led to improved results.
✨Stay Curious and Ask Questions
Worldpay values curiosity and the ability to ask the right questions. During the interview, don’t hesitate to ask insightful questions about their current challenges or future projects. This shows your genuine interest in the role and helps you understand how you can contribute effectively.
