At a Glance
- Tasks: Use data analytics and machine learning to generate leads and optimise strategies.
- Company: Innovative finance company revolutionising payment solutions in London.
- Benefits: Competitive salary, community support, parental leave, and global recognition.
- Other info: Collaborative global environment with opportunities for professional growth.
- Why this job: Join a forward-thinking team and make a real impact in the payments industry.
- 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 - Commercial Optimisation 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 career aspirations in a vibrant city known for its financial prowess.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist/Engineer - Commercial Optimisation
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. The more you engage with others, the better your chances of landing that Senior Data Scientist/Engineer role.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your projects, especially those involving Python and SQL. This will give potential employers a taste of what you can bring to the table.
✨Tailor Your Approach
When reaching out to companies, make sure to tailor your message to highlight how your skills align with their needs. Mention your expertise in data analytics and machine learning, and how you can help them optimise their lead generation strategies.
✨Apply Through Our Website
We encourage you to apply directly through our website! It’s the best way to ensure your application gets noticed. Plus, you’ll be one step closer to joining our innovative team in revolutionising the payments industry.
We think you need these skills to ace Senior Data Scientist/Engineer - Commercial Optimisation
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data science and engineering, especially in lead generation and marketing. We want to see how your skills align with our mission to revolutionise the payments industry!
Showcase Your Projects:Include specific examples of projects where you've used Python and SQL to drive insights or build models. We love seeing real-world applications of your skills, so don’t hold back on the details!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're passionate about data science and how you can contribute to our innovative payment solutions. Make it personal and engaging!
Apply Through Our Website:We encourage you to apply directly 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 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 the role. Brush up on your Python and SQL skills, and be ready to discuss how you've used these tools to generate leads and optimise strategies in your 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 business outcomes, especially in lead generation and marketing strategies.
✨Understand the Company’s Mission
Familiarise yourself with the company’s goals and how they aim to revolutionise the payments industry. This will help you align your answers with their mission and demonstrate your enthusiasm for contributing to their vision.
✨Prepare for Collaborative Questions
Since the role involves working closely with marketing and sales teams, think about your experiences collaborating across departments. Be prepared to discuss how you’ve refined processes or improved models through teamwork, showcasing your ability to communicate effectively with non-technical stakeholders.
