At a Glance
- Tasks: Lead data science projects and develop ML-centric solutions to enhance user experience.
- Company: Join Autotrader, the UK's leading automotive marketplace with a vibrant culture.
- Benefits: Competitive salary, share options, 28 days holiday, and comprehensive health coverage.
- Other info: Enjoy hybrid working with remote-first periods and a focus on wellbeing.
- Why this job: Make a real impact in a data-driven environment while collaborating with diverse teams.
- Qualifications: Experience in data science, ML workflows, and strong Python and SQL skills.
The predicted salary is between 50000 - 70000 £ per year.
About us You've probably heard of Autotrader, but do you know what we're all about?We're the most trusted, most visited automotive marketplace in the UK.
A heritage brand and a tech innovator.
We bring together vehicle buyers and sellers to give them real choices.
Cars may be what we're best known for but we’re also the place for pretty much everything else on wheels, from e-bikes to caravans.
In the automotive world, change is a constant, that’s why we take our job of untangling the complex car-buying journey very seriously.
At our core, we’re all about people.
We go our own way while embracing diversity and celebrating our differences.
We dedicate ourselves to the idea that we work better together.
Autotrader is a beautiful, surprising and vibrant place to work.
We might not be for everyone, but we could be perfect for you.
About the job We are seeking a Senior Data Scientist who will play a crucial role in driving Autotrader's transformation into a data science-driven organisation.
As a Senior Data Scientist you will be responsible for the direction of Data Science at Autotrader.
You will join a cross-functional collaborative squad focussed around a set of products or a services.
With your experience and research skills you will spot the opportunities for Data Science and work with the leadership in your squad to prioritise, resource and shape subsequent projects.
Your role will require you to orchestrate these projects, including supporting other Data Analysts and Scientists and collaborating with software engineers towards the best solution.
You will have a focus on developing ML-centric data products and solutions, in which your expertise with ML frameworks and workflows will be key.
Right now, our Data Scientists are working on several exciting projects.
For instance, they're creating personalised suggestions to get buyers more involved, improving our search system to make buying better for customers while also helping sellers stand out, building AI tools to aid customers in tasks like making listings and describing ads, studying how competition affects seller performance on our site, and upgrading our customer data platform for better targeted marketing beyond our site.
As part of our broader analytical community, Data Scientists collaborate closely with Data Analysts.
Together, they foster a culture of shared insights, continuous learning, and mutual support through regular showcases, feedback sessions, mentorship programs and skill-based workshops.
As a Senior member of the community, you will play a key role in establishing our analytical standards and tools.
We have invested heavily in a Data Platform that supports industry-leading Data Science.
These are some technologies that our Data Scientists use (we don't expect applicants to have experience with all of these): Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and Big Query for data modelling and warehousing.
Discover more about our Analytics Community in our blog and explore how we use analytics and Data Science in our Engineering Blog.
What we're looking for We are looking to grow our diverse team of curious data scientists.
In your application, you should demonstrate: A track record of delivering data science solutions in a commercial business Experience productionising machine learning workflows.
Knowledge of deployment and monitoring strategies.
A deep understanding of ML frameworks, algorithms and statistical methods Expertise with Python and SQLExperience orchestrating data science projects in cross-functional teams and confidence leading other data scientists Enthusiasm for engaging with stakeholders both technical and non-technical to identify opportunities for Data Science and influence squad roadmaps A passion for coaching Data Analysts and Data Scientists During our application process, you will be asked two questions to help us learn more about you and how you align with our values.
These will be used as part of our selection criteria, to determine if we progress your application further.
Benefits We’re offering a salary of 50,000– 70,000, plus an additional 10% of your salary awarded to you in shares each year.
These awarded shares will become yours in yearly instalments over the next three years, and you can choose to either sell them or keep them as shares.
You'll have 28 days holiday per year, and that's in addition to bank holidays and half day closures on Christmas and New Year's Eve.
That’s not all.
You'll be enrolled in our pension scheme, where our standard contributions are 7% and employee contributions are 5%.
We also have comprehensive private medical cover, enhanced family leave provisions, a car salary sacrifice scheme, share-save options, and much more.
We always want to give you the support you need and help prioritise your wellbeing, that’s why we provide access to 24/7 online GP and dentist, as well as specialist support for assisted fertility, gender dysphoria, menopause, period care plans and lots more.
On top of all that, our hybrid model, Connected Working, combines the best of both worlds – office and home working.
You'll spend a minimum of 3 days a week in the office with your team, focused on collaboration and connection.
Additionally, we have our remote-first periods at set times during summer and winter.
During these periods, you can work remotely anywhere in the UK and from certain locations abroad.
Senior Data Scientist in Manchester employer: AutoTrader UK
Autotrader is an exceptional employer that champions a vibrant and inclusive work culture, where diversity is celebrated and collaboration is key. As a Senior Data Scientist, you'll not only have the opportunity to lead innovative data science projects but also benefit from a comprehensive package that includes competitive salary, share options, and extensive wellbeing support. With a strong focus on employee growth through mentorship and skill development, Autotrader provides a dynamic environment for those looking to make a meaningful impact in the automotive marketplace.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in Manchester
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like AutoTrader UK!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Scientist at AutoTrader UK.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like AutoTrader UK.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist at AutoTrader UK, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Scientist in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at AutoTrader UK, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at AutoTrader UK. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at AutoTrader UK
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at AutoTrader UK!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
