At a Glance
- Tasks: Analyse data to uncover insights that enhance employee engagement and business performance.
- Company: Join a leading tech company focused on employee satisfaction and productivity.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative team environment with exciting projects and career advancement.
- Why this job: Make a real impact by solving complex problems with data-driven solutions.
- Qualifications: 3+ years in data science, strong skills in Python, SQL, and R.
The predicted salary is between 50000 - 60000 £ per year.
About the Team
Have you ever wondered what really makes people productive? Or what the triggers are that might make someone choose to leave their job? We're using one of the largest employee engagement datasets in the world to solve mysteries like these. The insights we deliver help our customers run their businesses better, and ensure their employees are more satisfied, motivated and engaged. We're now looking for a Product Data Scientist to join our team and help support our growth. For us, explanation is as important as prediction, and so we use a mixture of classical statistical modelling approaches and ground‑breaking machine learning algorithms to understand how people feel about their experience at work. We use Python for our Science codebase, while the broader tech stack of Peakon centers around JavaScript, with Node.js on the server and React on the frontend. Our data lives in a PostgreSQL database, and we use R for data analysis. We believe in a strong foundation and building things right from the beginning, making our value “Build for tomorrow, today” a guiding principle for the Engineering team.
About the Role
We are looking for someone to join our expanding Commercial Data Science team within Peakon. The perfect candidate will have a background in a quantitative or technical field, experience working with large data sets, and 3+ years experience in enabling data‑driven decision making in a commercial environment. You are focused on results, a self‑starter, and have demonstrated success in using analytics to help your customers maximise the value and strategic impact of their data in solving their business challenges.
Key Responsibilities
- Apply your expertise in statistical analysis, data mining, and the presentation of data to support our customers in maximising the impact of their employee data.
- Lead quantitative analysis projects from start to finish including all aspects of data analysis (e.g. processing, cleaning, verifying the integrity of data used for analysis, statistical analysis, visualisations) and communicating results effectively.
- Act as an expert on specific product features and their implications on data collection to support customer‑facing teams (i.e. Sales, Customer Success, Customer Support).
- Support customer‑facing teams in servicing technical customer data queries that require Data Science support.
- Partner with Product and Engineering teams to solve problems and identify trends and opportunities as part of ongoing R&D.
We are looking for a candidate who has a strong desire to work with our customers to solve their complex problems and help develop new solutions, often involving collaboration with different teams across the company. Necessary skills include competence with Python, SQL and R.
About You
The ideal candidate will at minimum have experience in the following areas:
- 3+ years of experience working in a commercial environment with elements of consultancy in their role.
- Responsibility for scoping and delivering bespoke research projects to customers or internal stakeholders within specific timelines.
- Experience communicating complex solutions to audiences with varied technical abilities and understanding.
- In-depth knowledge of statistics (e.g., hypothesis testing, regressions) with an Undergrad, Masters or PhD degree in Computer Science, Math, Physics, Engineering, Statistics or another technical field.
- Strong understanding of SQL.
- Intermediate knowledge of Python or R.
Data Scientist employer: Workday
At Peakon, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through our focus on continuous learning and development, providing opportunities for team members to engage with cutting-edge technologies and methodologies in data science. Located in a vibrant tech hub, we offer a dynamic environment where your contributions directly impact the satisfaction and engagement of employees worldwide, making your work not only meaningful but also rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at companies you're interested in. A friendly chat can sometimes lead to job opportunities that aren't even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, analyses, or any relevant work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to get comfortable with articulating your thought process.
✨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, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, SQL, and R, and showcase any projects where you've used statistical analysis or data mining. We want to see how your skills align with what we're looking for!
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 you can help us solve complex problems. Don't forget to mention your experience in a commercial environment and your ability to communicate complex solutions.
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them in your application. Whether it's a personal project or something from your previous job, we love seeing real-world applications of your skills. It helps us understand your approach to data-driven decision making!
Apply Through Our Website:We encourage you to apply 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 Workday
✨Know Your Data Inside Out
Make sure you’re familiar with the types of data you’ll be working with. Brush up on your statistical analysis skills and be ready to discuss how you’ve used data to drive decisions in previous roles. Being able to explain your thought process clearly will impress the interviewers.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python, SQL, and R. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Highlight any projects where you’ve successfully applied these skills to real-world problems.
✨Communicate Complex Ideas Simply
You’ll need to explain complex data insights to non-technical stakeholders. Practice breaking down your past projects into simple terms. Use examples that show how your work has directly impacted business outcomes, making it relatable for everyone.
✨Collaborate and Connect
Emphasise your ability to work with cross-functional teams. Share experiences where you’ve partnered with product or engineering teams to solve problems. This shows you’re not just a lone wolf but someone who thrives in a collaborative environment.
