At a Glance
- Tasks: Build and deploy predictive models while bridging business outcomes with technical delivery.
- Company: Join a leading data science team in a dynamic, hybrid work environment.
- Benefits: Enjoy Merlin Annual Passes, generous holiday, and ongoing training opportunities.
- Other info: Collaborative culture with excellent career growth and ethical data practices.
- Why this job: Make a real impact by solving complex data challenges and mentoring future talent.
- Qualifications: Degree in relevant field and 4+ years of data science experience required.
The predicted salary is between 60000 - 75000 £ per year.
You are a senior technical authority within the Data Science capability. You are responsible not only for building models, but for defining what should be built, ensuring quality, and bridging the gap between business outcomes and technical delivery.
Responsibilities:
- Build and deploy predictive models and advanced analytics solutions for high-value use cases.
- Own the most complex and high-impact modelling problems.
- Ensure robustness, explainability, and performance of models in production.
- Define the features and datasets required for modelling.
- Collaborate with the Lead Data Modeller to shape semantic definitions and structures.
- Work with Engineering to ensure pipelines support modelling needs.
- Translate business problems into analytical approaches.
- Challenge poorly defined requests and drive clarity on outcomes.
- Communicate trade-offs between model complexity, data availability, and delivery timelines.
- Establish and enforce best practices for modelling, evaluation, and deployment.
- Implement peer review processes for models and code.
- Ensure ethical and responsible use of data and AI.
- Mentor junior and mid-level Data Scientists.
- Support capability development and knowledge sharing.
- Act as a confident voice in shaping Data Science practices.
- Work closely with the Lead Data Modeller to define 'Gold' data required for analytics.
- Partner with Data Engineers to ensure model readiness and operational deployment.
- Align with Delivery Lead on prioritisation and feasibility.
Qualifications & Experience:
- Degree in a relevant field such as Computer Science, Mathematics or Engineering.
- At least 4 years of experience in a data science or statistical role with a proven track record of delivering impactful solutions.
- Experience in developing and deploying machine learning models and statistical analysis.
- Familiarity with distributed computing tools and cloud platforms (e.g., Azure Synapse, Snowflake, Databricks).
- Experience with data transformation and analytics tools (e.g., Python, SQL, Spark SQL).
- Proven ability to work with large datasets and complex data structures.
- Strong background in applying statistical and machine learning techniques to solve business problems.
Benefits:
- ‘Enjoy the Ride’ Merlin Annual Passes - 6 in total per year, 1 for you, plus 5 to gift to loved ones!
- Merlin Magic Pass - 20 free tickets for you, your family and friends to enjoy all our Merlin Attractions across the world rising to 40 after a year's service.
- 33 days holiday (including bank holidays).
- Company bonus.
- Private pension scheme.
- 40% discount online off LEGO.
- 25% discount in our on-site retail shops and restaurants.
- Ongoing training and development opportunities.
- Plus, many more…
If you have any questions or if you require any assistance, because of a disability or medical condition, please contact us by email and one of the team will get back to you as soon as possible.
Pay Range: Competitive
Senior Data Scientist employer: Merlin
As a Senior Data Scientist at our London-based company, you will thrive in a dynamic and inclusive work culture that prioritises innovation and collaboration. We offer extensive employee growth opportunities, including ongoing training and mentorship, alongside a competitive benefits package that features generous holiday allowances and unique perks like Merlin Annual Passes. Join us to make a meaningful impact while enjoying a fulfilling career in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨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 Merlin!
✨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 Merlin.
✨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 Merlin.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist at Merlin, 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
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 Merlin, 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 Merlin. 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 Merlin
✨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 Merlin!
✨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.
