Senior Data Scientist

1 week ago


Glasgow, Glasgow City, United Kingdom Dashly Limited Full time
Who are Dashly?

Our mission is to give homeowners across the UK a better deal on their mortgage, saving them thousands of pounds each and every year.

We've got an ambitious vision to create a suite of products that together will reshape the mortgage market for the good of all – borrowers, advisers, brokers and lenders. To do that, we've built a powerful mortgage search engine, data platform, together with web and mobile apps. Now it's time for us to upgrade our platform to scale in line with our growth rate, and utilise our experience to design new data solutions that will help lenders to offer new, more efficient ways to design and distribute products. On top of that, we're building tools that let advisers truly manage their customer relationships and empower them to improve the service they can offer their clients.

At Dashly we keep community at our core, and we know that a community can only thrive when it is diverse and inclusive. We welcome people from all backgrounds and experiences, whatever your race, religion, status, sexuality, gender identity, age, appearance or disability.

Who are we looking for?

As a Senior Data Scientist, you'll design, build, and implement solutions to analyse data to then solve and address problems, supporting the business and our customers. You will be putting models into place to enhance customer's experience by predicting future trends, support decision making, and drive customer and business benefits.

We are doing more with our Data, and this exciting opportunity will help develop, shape, and evolve our business to continue our drive to offer additional tools and insights to our customers across all our products and services.

You will help lead and grow the department's profile as well as the talented individuals within them and you'll run high-profile projects to answer complex strategic questions using data.

This is a hands-on position, and we are looking for a highly energetic, team player, driven and goal-oriented individual who is comfortable taking the initiative and working autonomously. Excellent communication skills are essential along with the ability to challenge, debate ideas and manage a team.

Responsibilities
  • Lead, grow and develop a team of data analysts and scientists where you'll guide them in uncovering valuable insights from data and developing impactful solutions for our business and customers.
  • Actively mentor and people manage a team of data scientists.
  • Work with internal stakeholders to deliver data insights dashboards for both internal consumption and to satisfy client requirements.
  • On-going monitoring of data quality levels on the platform & data processing SLAs.
  • Identity opportunities within Dashly's datasets to drive future business decisions.
  • Developing and implementing advanced machine learning models to address complex business problems.
  • Effectively communicating analytical insights and findings to stakeholders across the organisation.
  • Contributing to long-term architectural resolutions and fostering a data-driven culture within the organisation.
  • Lead on the on-going development and growth of Dashly's data warehouse and BI solution.
Knowledge and experience
  • Bachelor's degree in Data Science, Engineering, Computer Science, Mathematics, or a related field.
  • 4+ years of relevant experience in data modelling, analytics, and machine learning.
  • Proficiency in Python, SQL, R (or similar) for data analysis and manipulation.
  • Experience with data virtualisation and BI tools. (Looker Studio/ Looker Pro/ PowerBI or similar)
  • Solid understanding of statistics, machine learning, and experimental design.
  • Ability to convey insights through compelling data storytelling.
  • Experience of building and managing a data team.
  • High integrity, attention to detail, and commitment to excellence.
  • Strong people management experience.
  • Experience in a start-up is a plus.
  • Capable of working in fast paced environments.
Behaviour and skills
  • You'll be passionate about problem solving and continuous improvement, applying your knowledge and skills to our clients and Dashly.
  • You'll use your influencing skills and ability to communicate effectively, via multiple channels, with identified stakeholders impacted by proposed changes
  • While being an independent thinker, you'll enjoy bringing people, teams and functions together to collaborate on solving problems effectively
  • Has the self-motivation, resilience and high energy needed to thrive in an environment that demands fast-paced change, and occasional changes of direction
  • Excellent interpersonal, relationship building and influencing skills
  • Open, clear, and direct communication style
What do we offer in return?
Package details
  • Be part of a certified B-Corp, dedicated to better serve people & planet.
  • Accredited for Living Wage Employer.
  • 25 days annual leave plus bank holidays.
  • Additional day off on your birthday.
  • First rate pension plan (4% matched contribution).
  • Life assurance and income protection.
  • Private health cover (Bupa Cash Plan Level 1).
  • Cycle to Work Scheme.
  • Volunteer leave to contribute to a cause we believe in.
Working environment

This role is to be remote with an exception to be in London 2-3 days per month.

You'll be provided with a PC or Mac laptop, and any other equipment required, to support flexible remote working arrangements around core business hours.

And what tools do you use?

When it comes to day-to-day operations and work organisation, our teams use Google Workspace (Meet for online meetings), Slack for messaging, Hubspot and Atlassian Cloud's JIRA and Confluence for issue tracking and documentation. Dashly's platform utilises Google Cloud Platform including Big Query and Looker Pro/ Looker Studio for data warehousing and reporting.

Anything else I should know?

Our business and product teams are located in the UK (GMT time zone), our creative, marketing and engineering teams are located in Central Europe (CET timezone, GMT+1).


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