At a Glance
- Tasks: Build AI products and automate workflows in the pharmaceutical intelligence space.
- Company: Join a growing AI/Data Science team focused on innovative solutions.
- Benefits: Remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role blending data science and software engineering in a collaborative environment.
- Why this job: Make a real impact by transforming data science into production-ready tools.
- Qualifications: 5+ years in Data Science/ML, strong Python skills, and experience with agentic AI.
The predicted salary is between 60000 - 80000 £ per year.
We’re hiring for a Senior Data Scientist to join a growing AI/Data Science team building agentic AI products in the pharmaceutical intelligence space. This is a hands-on role, sitting somewhere between data science and software engineering. You’ll be working on AI assistants and agents that help process complex data, retrieve information, automate workflows, and support decision-making across pharma/life sciences use cases.
They’re looking for someone who can take data science logic beyond notebooks and turn it into reusable, production-style tools and services.
- Minimum 5 years experience in Data Science/ML or related roles
- Data Science beyond analytics - building pipelines, along with strong Python and software engineering principles
- LangChain / LangGraph / agentic AI experience is a must
- UK-based remote role (can be based in the US too)
Data Science Data Science Senior Data Scientist (Python) (Remote) employer: TrueNorth
Join a forward-thinking company that values innovation and collaboration, where as a Senior Data Scientist, you'll have the opportunity to work on cutting-edge AI products in the pharmaceutical intelligence sector. With a strong emphasis on employee growth, we offer a supportive work culture that encourages continuous learning and development, alongside the flexibility of a remote role based in the UK or US. Our commitment to building impactful solutions ensures that your contributions will be meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Data Science Senior Data Scientist (Python) (Remote)
✨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 TrueNorth!
✨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 Data Science Data Science Senior Data Scientist (Python) (Remote) at TrueNorth.
✨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 TrueNorth.
✨Apply Directly through Our Website
When you find a suitable opening like Data Science Data Science Senior Data Scientist (Python) (Remote) at TrueNorth, 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 Data Science Data Science Senior Data Scientist (Python) (Remote)
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 TrueNorth, 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 TrueNorth. 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 TrueNorth
✨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 TrueNorth!
✨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.
