Data Science Lead in Princes Risborough

Data Science Lead in Princes Risborough

Princes Risborough Full-Time 72000 - 88000 £ / year (est.) Home office (partial)
U

At a Glance

  • Tasks: Lead advanced analytics projects to drive impactful insights for patient solutions.
  • Company: Join UCB, a global biopharmaceutical leader focused on neurology and immunology.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for personal growth.
  • Other info: Collaborative culture that values inclusion, respect, and equal opportunities.
  • Why this job: Make a real difference in patients' lives through innovative data-driven decisions.
  • Qualifications: 8-10 years in data science with expertise in predictive modelling and programming.

The predicted salary is between 72000 - 88000 £ per year.

To strengthen our Global Advanced Analytics team, we are looking for an adaptable, collaborative individual with an intrapreneurial mindset for our Analytics Lead opening. This hybrid role is based in our headquarters in Slough, United Kingdom requiring 40% onsite presence and 5-10% international/ domestic travel.

About the role

You will help to inform on the commercial viability of various assets in development. You will be responsible for making exceptional business impact with the use of secondary data and insights development through advanced analytics methods, enabling an increased use of data and, where applicable, reducing the necessity for building primary data. You will also be responsible for managing and implementing advanced analytics/AI projects to ensure successful delivery. You will oversee the ongoing operations of advanced analytics solutions to ensure that models continue to work and scale them up with additional demand and applications. You will serve as the subject matter expert for Advanced Analytics/AI capabilities in support of business needs within Patient Solutions and Patient Evidence.

Who you’ll work with

You will co-create with Integrated Insights Leads from early asset and late stage (Phase 0-3) teams, Real world evidence teams, Translational Medicine and Bioinformatics, Clinical operations, clinical recruitment, and asset teams, new product planning teams, Commercial teams, Medical Affairs, Market Access, Finance, and IT. Externally, you will work with data and analytics vendors and partners.

What you’ll do

  • Analytics Leadership: Provide clear expertise for opportunities to leverage advanced analytics, especially where they are advantageous to reducing the need for primary data or have high marginal impact.
  • Deliver the most impactful data and analytics projects that address the most compelling business questions, and/or identify new opportunities for patients and UCB through effective visual displays of quantitative and qualitative information.
  • Partnership and Collaboration: Be the key strategic partner for functional stakeholders and co-create plans and priorities for data and advanced analytics with them together with the Patient Solutions and Evidence Leads. Ensure tight relationships and collaboration with IT, Data Office, and other Analytics teams using relevant data sources.
  • Team Leadership: Serve as a mentor and guide to more junior data scientists and translators in demonstrating the application of cutting-edge analytics, clear communication and presentation of insights and practical/pragmatic implementation of key recommendations.
  • Drive the execution of regional and local data-driven insights research and data analytics plans and priorities.
  • Foster a strong data science community with significant business acumen and communication skills across Hubs and Engine and Supervise the conduct of advanced analytics studies in a collaborative manner ensuring that the study methodology is appropriate to deliver reliable results.
  • Improve the team’s partnership with, and impact on, key internal (UCB) and external stakeholders within the specific area of focus by developing and executing a communication and collaboration plan with key UCB stakeholders.
  • Attract, retain, motivate, and develop key talent for the Advanced Analytics team; coach and develop team members.
  • Drive deep partnership with the Hub insights team and other “fellow” Engines and insights generating functions (e.g. regional analytics teams) allowing for a joined delivery of cross-functional, deep impactful insights.
  • Be a champion for a data-driven, decision-making culture.

Interested? For this role we’re looking for the following education, experience and skills:

  • Bachelor's degree in quantitative area.
  • Minimum of 8-10+ years experience applying predictive modeling techniques such as ML, decision trees, ensemble learning, neural networks etc., and data transformation such as data cleansing and integration, fuzzy matching, etc., is required.
  • Minimum of 8-10+ years of experience developing program/project plans and leading programs/projects from initiation to implementation is required.
  • At least 8 years of experience working with real world data (Claims data, EMR, IQVIA, -omics, etc).
  • Minimum of 8-10+ years of experience with programming and application development using Python or R is preferred.

Preferred Experience/Skills:

  • Master/Doctor’s degree in quantitative area.
  • Knowledge of pharmaceutical industry, ideally specialty pharma and biologic treatments.
  • Deep expertise in leveraging data science methodologies within the Research and Development and Clinical trials sphere of the pharmaceutical industry.
  • The Go-to-Market domain encompasses the commercial, medical, and market access facets of the business.
  • Expertise in analyzing a range of large, secondary transactional databases, unstructured data or other computationally difficult challenges.
  • You are a structured problem solver.
  • Possess an 80/20 mindset to push for fast model iterations.
  • Interpret model results and identify potential model errors (e.g., overfitting, model bias, correlation vs causation).
  • Global role, so willingness and flexibility to work across geographies / time zones (sometimes outside of core hours).

Are you ready to ‘go beyond’ to create value and make your mark for patients? If this sounds like you, then we would love to hear from you!

About us

UCB is a global biopharmaceutical company, focusing on neurology and immunology. We are over 9,000 people in all four corners of the globe, inspired by patients and driven by science.

Why work with us?

At UCB, we don’t just complete tasks, we create value. We aren’t afraid to push forward, collaborate, and innovate to make our mark for patients. We have a caring, supportive culture where everyone feels included, respected, and has equal opportunities to do their best work. We ‘go beyond’ to create value for our patients, and always with a human focus, whether that’s on our patients, our employees, or our planet. Working for us, you will discover a place where you can grow, and have the freedom to carve your own career path to achieve your full potential. At UCB, we’ve embraced a hybrid-first approach to work, bringing teams together in local hubs to foster collaborative curiosity. Unless explicitly stated in the description or precluded by the nature of the position, roles are hybrid with 40% of your time spent in the office.

UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable federal, state, or local law.

Data Science Lead in Princes Risborough employer: Ucb Group

UCB is an exceptional employer that fosters a collaborative and innovative work culture, where employees are encouraged to push boundaries and create meaningful value for patients. Located in Slough, our hybrid-first approach allows for flexibility while working alongside experienced scientists in a supportive environment that prioritises personal growth and career development. Join us to be part of a team that values inclusivity and empowers you to make your mark in the biopharmaceutical industry.

U

Contact Details:

Ucb Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Science Lead in Princes Risborough

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 Ucb Group!

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 Lead at Ucb Group.

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 Ucb Group.

Apply Directly through Our Website

When you find a suitable opening like Data Science Lead at Ucb Group, 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 Lead in Princes Risborough

Advanced Analytics
Predictive Modelling
Machine Learning
Data Transformation
Python
R
Real World Data Analysis

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 Ucb Group, 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 Ucb Group. 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 Ucb Group

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 Ucb Group!

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.