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- Tasks: Analyse data to enhance user experience and propose innovative Signal improvements.
- Company: Join a forward-thinking tech company with a focus on collaboration and inclusivity.
- Benefits: Enjoy 25 paid holidays, private health cover, and flexible hybrid work options.
- Why this job: Make a real impact by shaping the future of data-driven user experiences.
- Qualifications: Strong SQL, Excel skills, and familiarity with R, Python, or ML processes.
- Other info: Dynamic team environment with excellent career growth and learning opportunities.
The predicted salary is between 50000 - 70000 ÂŁ per year.
A background in data analysis is advantageous.
What you will be doing:
- You will be reporting to the Head of Data Based Signals and working alongside members of other squads - e.g. Upstream, GTM & Platform.
- You will conduct analytical projects to understand the effectiveness of existing Signals and evaluate eligibility of proposed changes or additions to Signals user coverage of existing and proposed new Signals.
- You will be able to propose improvements to existing or entirely new Signals in order to maximise the value our data can bring to the user experience.
- You will help design the ranking methodology that will decide which Signals, when and where, to show to each user.
- As Signal design and ranking become more sophisticated, you will be involved in developing the ML models expected to be needed to power these.
Skills we'd love you to have:
- Excellent SQL and Excel skills.
- Good experience with data modelling and relational database structure and design.
- Good experience of one or more of R, Python, SAS or equivalent.
- Awareness, or ideally, some experience, with ML processes, algorithms & techniques.
- Excellent quantitative and numerical skills.
- Ability to plan and prioritise your own workload.
- Good collaboration & communication skills - DaBS is a small squad and we need to work well with others to achieve our objectives.
Benefits:
- 25 paid holidays and a “duvet day” on your birthday.
- Private health and dental cover - including mental health support through Bupa GP office visits.
- Up to 6% matched pension.
- Regular Lunch and Learns with guest speakers.
- Dog-friendly office.
- Daily breakfast and free snacks.
- Access to discounts via Cobens Extras.
- Free sports and social clubs.
- Continued investment into learning and development.
- Leadership-led training.
- In-house psychotherapist.
- Financial coach to help you plan and achieve your goals.
- No clock-watching culture.
- Generous maternity and paternity plans.
- Culture and inclusion representatives.
- Transparent pay structure and a career growth plan.
Our Hybrid Model:
We embrace a dynamic hybrid work environment that balances flexibility with collaborative in-person experiences. Our approach is designed to foster innovation, team connection, and individual productivity.
Level 6 and above: Minimum 3 days per week in-office.
What This Means for You:
- Flexibility to manage your work and life.
- Dedicated in-office days for team building and collaborative projects.
- Office facilities (with plants!) designed for productive interactions.
- Clear expectations and support for maintaining our hybrid schedule.
We’re committed to creating an inclusive environment that accommodates diverse needs while maintaining our collaborative culture. Join us in shaping the future of work!
ClearScore is committed to providing equal employment opportunities to all qualified individuals. As an equal opportunity employer, we are able to make reasonable adjustments to accommodate individuals with disabilities during the recruitment and selection process. If you require accommodation, please inform us in advance, and we will work with you to meet your needs.
Inclusion Policy:
We are always looking for talented individuals to join ClearScore. We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for our people.
Data Scientist - Signals employer: ClearScore Technology Limited
Contact Detail:
ClearScore Technology Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Signals
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at events. Ask them about their experiences and the team culture – it’s a great way to get insider info and show your genuine interest.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and Python skills. Be ready to discuss how you’ve used data analysis in past projects, and think of examples where you’ve proposed improvements based on your findings.
✨Tip Number 3
Show off your collaboration skills! During interviews, highlight times when you’ve worked with others to achieve a common goal. This is key since you’ll be working closely with different squads.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Data Scientist - Signals
Some tips for your application 🫡
Show Off Your Data Skills: Make sure to highlight your SQL, Excel, and any programming skills like R or Python in your application. We want to see how you can use these tools to tackle data challenges and improve our Signals!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific skills and experiences that match the job description. We love seeing how your background aligns with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at ClearScore Technology Limited
✨Know Your Data Tools
Make sure you brush up on your SQL and Excel skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in data modelling and relational database design. This will show that you can hit the ground running!
✨Showcase Your Analytical Mindset
Prepare to talk about specific analytical projects you've worked on. Think about how you evaluated the effectiveness of signals or proposed changes. Use examples that highlight your quantitative skills and your ability to derive insights from data.
✨Familiarise Yourself with ML Concepts
Even if you're not a machine learning expert, having a basic understanding of ML processes and algorithms is crucial. Brush up on relevant techniques and be prepared to discuss how they could apply to signal design and ranking methodologies.
✨Emphasise Collaboration Skills
Since you'll be working closely with other squads, it's important to demonstrate your collaboration and communication skills. Prepare examples of how you've successfully worked in teams, especially in a small squad environment, to achieve common goals.