At a Glance
- Tasks: Create innovative data science solutions and apply machine learning techniques to real-world problems.
- Company: Join a leading tech company with a focus on diversity and inclusion.
- Benefits: Flexible working hours, personal day off for your birthday, and access to cutting-edge technology.
- Other info: Enjoy a supportive workplace culture that values work-life balance.
- Why this job: Make an impact in data science while collaborating with world-class teams.
- Qualifications: Master’s degree in a relevant field and experience with machine learning techniques.
The predicted salary is between 60000 - 80000 € per year.
Join a world‑class team that applies statistical techniques and marketing science to business problems, including demand forecasting, clustering, and measurement. The role involves developing mathematical models, innovative product solutions, and exploring new opportunities for data science across global clients.
What You'll Be Doing
- Create new science‑based solutions that can be captured as science modules and applied across clients.
- Apply machine‑learning approaches such as regularised regression, clustering, tree‑based ensembles, graph‑based methods, NLP and neural networks to client data.
- Conduct exploratory data analysis to characterize and visualize datasets.
- Expand programming skills in Python and Spark to develop efficient science code.
- Identify new opportunities within the Data Science space for future solutions.
- Implement guidance from colleagues to resolve challenges.
- Follow Quality Assurance processes, coding standards, and best practices.
- Ensure smooth project delivery, working with senior team members for direction.
- Build strong relationships within the team and with internal stakeholders to enable clear communication.
Who You'll Get to Work With
- Applied and Research Data Scientist teams
- Data Science Engineering teams
- Product and Client teams as required
What We Expect From You
- Master’s degree or equivalent in Computer Science, AI, Machine Learning, Statistics, Applied Statistics, Physics, Engineering or a related field.
- Experience with machine‑learning techniques such as regularised regression, clustering, or tree‑based ensembles, and the ability to implement them through libraries.
- Proficiency in Python programming and handling large data volumes with modern processing tools (e.g., Hadoop, Spark, SQL).
- Experience with, or quick learning ability for, open‑source machine‑learning packages such as Pandas, scikit‑learn, and data visualization tools.
- Willingness to present work to both technical and non‑technical audiences and contribute to the wider data‑science community.
A Plus If You Also Have
- PhD in a related field.
- Experience in the retail sector.
What You Can Expect From Us
Comprehensive rewards and benefits typical of a leading technology company, including flexible working hours and personal day off for your birthday. Additional perks include access to cutting‑edge technology and a supportive, inclusive workplace culture that embraces diversity and inclusion.
Our Approach to Flexible Working
We value work‑life balance and support flexible working arrangements as needed. If flexible options are important to you, please discuss them with your recruiter during the hiring process.
Senior Research Data Scientist in Manchester employer: Limelight Health
Join a leading technology company that champions innovation and inclusivity, offering a dynamic work environment for Senior Research Data Scientists. With comprehensive rewards, flexible working hours, and opportunities for professional growth, you'll collaborate with world-class teams to develop cutting-edge data science solutions that make a real impact across global clients. Our commitment to diversity and a supportive culture ensures that every employee can thrive and contribute meaningfully.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Research Data Scientist in Manchester
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or conferences related to data science. Building relationships can lead to job opportunities that aren’t even advertised.
✨Show Off Your Skills
Create a portfolio showcasing your projects and skills in Python, machine learning, and data visualisation. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do!
✨Ace the Interview
Prepare for technical interviews by practising coding challenges and discussing your past projects. Be ready to explain your thought process and how you tackle problems. Confidence is key, so practice makes perfect!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be one step closer to joining our amazing team!
We think you need these skills to ace Senior Research Data Scientist in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with machine-learning techniques and programming skills in Python. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
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 contribute to our team. We love seeing enthusiasm and a clear understanding of the role, so let your personality come through.
Showcase Your Projects:If you've worked on any interesting data science projects, make sure to mention them! Whether it's a personal project or something from your previous job, we want to know how you've applied your skills in real-world scenarios.
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 gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Limelight Health
✨Know Your Data Science Stuff
Make sure you brush up on your machine-learning techniques like regularised regression and clustering. Be ready to discuss how you've applied these methods in past projects, as well as any innovative solutions you've developed. This will show that you're not just familiar with the theory but can also put it into practice.
✨Show Off Your Programming Skills
Since proficiency in Python and tools like Spark is key, be prepared to talk about your coding experience. Bring examples of code you've written or projects where you've handled large datasets. If you can, demonstrate your ability to write efficient science code during the interview.
✨Communicate Clearly
You'll need to present your work to both technical and non-technical audiences, so practice explaining complex concepts in simple terms. Think about how you can convey your ideas clearly and effectively, as strong communication skills are essential for building relationships within the team.
✨Be Ready to Collaborate
This role involves working closely with various teams, so highlight your teamwork experiences. Share examples of how you've collaborated with colleagues to solve challenges or deliver projects. Showing that you can work well with others will make you a more attractive candidate.
