At a Glance
- Tasks: Dive into data projects, from collection to model deployment and visualisation.
- Company: Join a forward-thinking team in the Customer Super Tribe.
- Benefits: Enjoy a £1,000 learning fund, unlimited holidays, and hybrid working.
- Other info: Embrace a culture of diversity, inclusion, and continuous learning.
- Why this job: Make an impact with cutting-edge analytics and AI solutions across various sectors.
- Qualifications: Proficient in Python and SQL, with a knack for machine learning.
The predicted salary is between 50000 - 70000 £ per year.
The UKI Data Science team is a cross‑business chapter in the Customer Super Tribe, working with partners such as Safety, Marketing, Gaming, Sports and more to deliver groundbreaking analytics and AI modelling solutions.
What you'll do:
- Carry out analytical projects involving data collection, pre‑processing, feature engineering, model development, validation and deployment.
- Engage with business stakeholders to understand domain‑specific challenges and opportunities and collaborate to align with requirements.
- Apply advanced statistical and machine learning algorithms to analyse large datasets, uncover patterns and derive actionable insights.
- Develop and implement predictive and prescriptive models using techniques such as regression, classification, clustering, time‑series analysis, natural language processing and deep learning.
- Create clear and compelling visualisations to communicate complex findings.
- Collaborate with business, product and engineering teams to understand requirements, identify opportunities and provide data‑driven recommendations.
- Integrate data science solutions into products and services with cross‑functional teams.
- Engage actively in knowledge sharing, technical and non‑technical discussions.
- Continuously improve accuracy, efficiency and scalability of existing models and algorithms, and identify areas for optimisation and innovation.
- Maintain high standards of documentation, code quality and best practices in data science and software development.
- Participate in code reviews, pair programming and knowledge‑sharing sessions, embracing feedback for continuous improvement.
- Contribute to building a strong data science team through knowledge sharing and upskilling.
- Keep abreast of the latest advancements in data science, machine learning and related fields.
How you'll do it:
- Proficiency in Python and SQL.
- Good knowledge of machine learning techniques and algorithms.
- Demonstrated track record of successfully delivering data science projects.
- Strong verbal and written communication, ability to explain technical concepts to non‑technical audiences.
What’s on offer:
- £/€1,000 learning fund
- Twice‑yearly bonus (part guaranteed)
- Unlimited holidays
- Pension contribution scheme
- Private healthcare
- Hybrid working with access to Udemy courses
- Company Sharesave scheme
Diversity & Inclusion:
We’re working to be an inclusive employer and encourage people from all backgrounds to apply. Everyone brings different perspectives and experiences; you don't have to meet all the listed requirements to apply. If adjustments are needed, we’ll consider accommodations.
Data Scientist in Leeds employer: CM001 Hestview
As a Data Scientist at our innovative UKI Data Science team, you'll thrive in a collaborative environment that champions creativity and continuous learning. With benefits like unlimited holidays, a generous learning fund, and a commitment to diversity and inclusion, we empower our employees to grow both personally and professionally while working on groundbreaking analytics and AI solutions across various sectors. Join us in a hybrid working model that not only values your contributions but also supports your well-being and career development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Leeds
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. A friendly chat can give you insider info and maybe even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects. Use GitHub to share your code and visualisations, making it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, especially when discussing complex algorithms or models.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist in Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data Scientist role. Highlight your proficiency in Python, SQL, and any relevant machine learning projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background fits with our mission at StudySmarter. Don't forget to mention any specific projects or achievements that showcase your analytical skills.
Showcase Your Projects:If you've got a portfolio of data science projects, make sure to include it! Whether it's a GitHub repo or a personal website, we love seeing real examples of your work. It helps us understand your approach to problem-solving and your technical abilities.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you'll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at CM001 Hestview
✨Know Your Data Science Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific machine learning techniques you've used in past projects, and how they helped solve real-world problems. This will show that you not only understand the theory but can also apply it effectively.
✨Understand the Business Context
Familiarise yourself with the different sectors the company works with, like Safety, Marketing, and Gaming. Think about how data science can address challenges in these areas. Being able to connect your technical skills to business needs will impress the interviewers.
✨Prepare for Technical Questions
Expect to dive deep into your analytical projects during the interview. Prepare to explain your approach to data collection, feature engineering, and model validation. Practising how to articulate your thought process clearly will help you stand out.
✨Show Off Your Communication Skills
Since you'll need to explain complex concepts to non-technical stakeholders, practice simplifying your explanations. Bring examples of how you've successfully communicated findings in the past, whether through visualisations or presentations. This will demonstrate your ability to bridge the gap between data science and business.
