Senior Data Scientist

Trust Payments

Greater London

Hybrid

GBP 90,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Flexible work arrangements
Comprehensive wellness initiatives
Extensive leave provisions
Progressive family-oriented policies
Robust compensation package
Regular corporate events
Continuous professional development

Job summary

A fintech company in London is looking for a Senior Data Scientist to enhance their data product offerings. The successful candidate will utilize techniques in machine learning and generative AI to tackle complex challenges. Responsibilities include analyzing data patterns, building new data-driven services, and collaborating with various product teams. A strong analytical background, particularly with Python and SQL, is essential. The role offers a competitive salary and a comprehensive benefits package.

Qualifications

  • Demonstrated experience using Machine Learning, Python, SQL, generative AI and visualization techniques to solve real-world challenges.
  • Experience in cloud native architecture, especially on AWS.
  • Experience in financial services, ideally payments.

Responsibilities

  • Play a vital part in the Data Science function within Trust Payments, creating and improving our product suite.
  • Identify, analyze, and interpret trends and patterns in complex data sets.
  • Explore opportunities to build new data-driven products and services.
  • Work alongside payments, loyalty, web and retail products to examine data patterns and build customer strategy for monetising that data and connecting with other products.
  • Contribute to a community for data science within the business, upskilling the overall team and strengthening a data-native mindset and culture.
  • Collaborate with Retail, ML, Data Engineering, Automation and Software Development experts.

Skills

Analytical and technical capability
Ability to translate complex concepts into clear business language
Track record of identifying and creating value in data
Value creation from data

Tools

Machine Learning
Python
SQL
Generative AI
Amazon QuickSight
Web front-end development

Job description

Trust Payments is an MFSA-regulated in Malta; and an FCA-regulated company in the UK. We provide a range of payments and commerce solutions, with market-leading technology and data insights.

We offer innovative payment methods and cutting-edge technologies, with a truly global presence. Our global offices cater to the most demanding business sectors, including retail, travel, hospitality, forex, and financial services.

Driving value for our clients and demonstrating genuine care for their success, is a core value of ours. We also believe in striving to build a better, more sustainable tomorrow and believe in conducting our business ethically, driving social and environmental change.

We have a passionate, collaborative, and diverse culture that recognizes that every employee contributes to our business success.

Find out more at www.trustpayments.com.

Trust Payments have an exciting opportunity for a Senior Data Scientist to join our team.

Location: Hybrid- London , United Kingdom (Flexible on the location in the UK)

Salary: Competitive + Benefits

How will you make an impact in this role?

Trust Payments is currently seeking a Senior Data Scientist to support our Data Science Team. This role suits candidates with strong analytical and technical skills demonstrated through work experience. You will create and improve innovative data products, focusing on complex challenges and pioneering analytical approaches, including tools and algorithms. The work includes traditional modelling as well as emerging (Gen)AI approaches. You will explore new data sources such as loyalty, digital and basket data for commercial purposes across our proprietary and partner product sets.

What We Expect of You, Day To Day:

  • Play a vital part in the Data Science function within Trust Payments, creating and improving our product suite, including coding and working with clients
  • Identify, analyse, and interpret trends and patterns in complex data sets
  • Explore opportunities to build new data-driven products and services
  • Work alongside payments, loyalty, web and retail products to examine data patterns and build customer strategy for monetising that data and connecting with other products
  • Contribute to a community for data science within the business, upskilling the overall team and strengthening a data-native mindset and culture
  • Collaborate with Retail, ML, Data Engineering, Automation and Software Development experts

Qualifications

Experience:

  • Demonstrated experience using Machine Learning, Python, SQL, generative AI and visualisation techniques to solve real-world challenges
  • Experience in cloud native architecture, especially on AWS, AWS ETL/ELT processes, databases, CI/CD, Git, web front-end development, Amazon Bedrock, Amazon QuickSight (beneficial)
  • Experience in financial services, ideally payments (gateways, acquiring and processing) (beneficial)

Skills:

  • Analytical and technical capability
  • Ability to translate complex concepts into clear business language
  • Track record of identifying and creating value in data (beneficial)

We offer comprehensive benefits to support our team members and their families' well-being.

Our robust benefits package includes (subject to local office benefits policy):

  • Be part of a dynamic, market-leading Fintech experiencing rapid growth
  • Flexible work arrangements tailored to role requirements and business needs
  • Comprehensive wellness initiatives, including mental health resources supported by internally qualified mental health first aiders
  • Extensive leave provisions, encompassing annual, volunteering, and birthday allowances
  • Progressive family-oriented policies and benefits, including Maternity, Paternity and Adoption leave
  • Robust compensation package, including pension scheme, healthcare plans, and life assurance
  • Regular corporate events fostering team cohesion and company culture
  • Diverse company culture and global working environment
  • Continuous professional development and career advancement opportunities
  • Offer of employment with Trust Payment is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Get a glimpse into the exciting world of Trust Payments through:

  • Our LinkedIn Life Pages

Next Steps:

Ready to revolutionize fintech? If you're excited about this opportunity, we'd love to hear from you!

Our Talent Acquisition Team will review your application promptly. We'll contact successful candidates via email and phone to discuss the next steps, including our inclusive interview process.

Additional Information:

Trust Payments is an Equal Opportunities Employer

We are a growing business with an aspiration to create a truly inclusive working environment, where each employee can reach their full potential. We celebrate the differences that exist within our teams. We encourage our people to bring their own opinions and thoughts to work, to be authentic and help us to innovate. We do this by embracing people as individuals, and appreciating that what works for one person, doesn’t work for everyone. We are committed to equal employment opportunity for all, regardless of race, heritage, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or any other protected characteristic.

If you require reasonable adjustments to be made to enable you to apply for a role with us or wish to provide feedback about the accessibility of this website, please contact the Talent Acquisition Team.

Automated Assessment Notice

Trust Payments may use automated tools during our recruitment process, including skills assessments and application screening questions. All decisions involve human oversight and comply with data protection legislation. Candidates can request human review of any automated screening decisions.

To submit your CV for this opportunity, please complete the application form and click 'Apply' now.

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