At a Glance
- Tasks: Use data analytics and machine learning to generate leads in the payments industry.
- Company: Innovative finance company in London revolutionising payment solutions.
- Benefits: Competitive salary, community support, parental leave, and global recognition.
- Other info: Collaborate globally and enjoy excellent career growth opportunities.
- Why this job: Make a real impact in a fast-paced environment 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.
We are a forward‑thinking finance company based in London that specialises in innovative payment solutions aimed at streamlining and enhancing payment processes for businesses and consumers. Our mission is to revolutionise the payments industry by leveraging cutting‑edge technology and data‑driven insights to foster financial inclusion and efficiency.
What You’ll Own
- Utilise advanced data analytics and machine learning techniques to identify high‑value prospects and generate leads in the payments industry.
- Have 5+ years of experience working as a Data Scientist and Data Engineer.
- Design and implement propensity models to predict potential client engagement and conversion rates, optimising prospecting strategies.
- Analyse 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 work from our London hub, collaborating with teams across the globe.
What You Bring
- Proven experience in data science with a focus on targeted marketing, lead generation and new business development.
- Expertise in Python and SQL and experience with data preparation, cleaning, and modelling.
- Experience building and deploying machine learning models, especially related to customer behaviour, 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.
Benefits
- 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 programme.
Senior Data Scientist/Engineer - Lead Generation and Prospecting employer: Worldpay
As a forward-thinking finance company based in London, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our commitment to employee growth is evident through our competitive salary packages, comprehensive benefits, and opportunities for professional development, all while making a meaningful impact in the payments industry. Join us to be part of a team that values your contributions and supports your journey towards success.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist/Engineer - Lead Generation and Prospecting
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in finance or data science. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of projects that highlight your data analytics and machine learning skills. Share your work on platforms like GitHub or LinkedIn to catch the eye of potential employers.
✨Tailor Your Approach
When reaching out to companies, make sure to tailor your message to them. Mention specific projects or values that resonate with you. This shows you’ve done your homework and are genuinely interested in what they do.
✨Apply Through Our Website
We encourage you to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be one step closer to joining our innovative team in London!
We think you need these skills to ace Senior Data Scientist/Engineer - Lead Generation and Prospecting
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior Data Scientist/Engineer. Highlight your experience with data analytics, machine learning, and any relevant projects that showcase your skills in lead generation and prospecting.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about revolutionising the payments industry and how your background aligns with our mission at StudySmarter. Be specific about your achievements and how they relate to the job.
Showcase Your Technical Skills:Since we're looking for expertise in Python and SQL, make sure to include specific examples of how you've used these tools in your previous roles. Mention any machine learning models you've built and how they impacted business outcomes.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Worldpay
✨Know Your Data Inside Out
Make sure you’re well-versed in the data analytics and machine learning techniques relevant to lead generation. Brush up on your Python and SQL skills, and be ready to discuss how you've used these tools to drive successful outcomes in previous roles.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Be ready to explain your thought process and the impact your solutions had on marketing strategies or business development. This will demonstrate your analytical abilities and entrepreneurial mindset.
✨Understand the Company’s Mission
Familiarise yourself with the company’s goals and how they aim to revolutionise the payments industry. Tailor your responses to show how your experience aligns with their mission of fostering financial inclusion and efficiency through innovative payment solutions.
✨Prepare for Collaborative Discussions
Since the role involves working closely with marketing and sales teams, think about how you can contribute to refining lead qualification processes. Be prepared to discuss how you’ve collaborated with cross-functional teams in the past and how you can enhance lead scoring models.
