At a Glance
- Tasks: Develop innovative AI language services and solve complex problems in a collaborative team.
- Company: Join Veeva Systems, a mission-driven leader in life sciences technology.
- Benefits: Flexible remote work, competitive salary, and a commitment to employee success.
- Other info: Inclusive culture valuing diversity and offering excellent career growth opportunities.
- Why this job: Make a real impact in the life sciences industry with cutting-edge technology.
- Qualifications: 5+ years in data science, expertise in Machine Learning and Python.
The predicted salary is between 60000 - 80000 £ per year.
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.
The Role
Turn your data science skills into tangible impact! Develop innovative services that make a difference. We're a rapidly growing company looking for teammates to solve complex problems and bring solutions to life in large-scale software products. The Veeva Link engineering team seeks Data Scientists and Machine Learning Engineers to participate in all aspects of building and operating AI language features that help our global clients bring products to market faster.
What You’ll Do
- Work within a cross-functional application team to build scalable language services in the range of NLP, NLU, and NLG for live SaaS products
- Help develop and groom an experiment backlog
- Build models that solve real-world problems
- Optimize models for production throughput and uptime requirements
- Automate deployments, testing, and monitoring (MLOps)
Requirements
- 5+ years of developing data & analytics products like sentiment analyzers, translation engines, summarizers, or other language services
- Expert in Machine Learning, Modeling, and development with Python
- Expert in MLOps with at least one platform, e.g.: MLflow, Kubeflow, or end-to-end automation with SageMaker services
- Ability to mentor others and work independently
- Strong communication skills
Nice to Have
- Production experience with any of the following is a plus: GenAI, LLMs, Recommendation Engines, AWS offerings for AI and ML including SageMaker, Bedrock, Lex
- Knowledge of relevant regulations in AI/ML and incorporating compliance into MLOps processes
- Bachelor’s degree or higher in computer science, engineering, or information systems
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. As an equal opportunity employer, Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.
If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us.
Remote DS/ML Engineer in Birmingham employer: Veeva Systems
Veeva Systems is an exceptional employer, offering a mission-driven work environment that prioritises employee success and customer impact. With the flexibility of a 'Work Anywhere' policy, employees can thrive in their preferred settings while contributing to innovative solutions in the life sciences sector. The company fosters a culture of inclusion and diversity, providing ample opportunities for professional growth and development within a rapidly expanding organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Remote DS/ML Engineer in Birmingham
✨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 Veeva Systems!
✨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 Remote DS/ML Engineer at Veeva Systems.
✨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 Veeva Systems.
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We think you need these skills to ace Remote DS/ML Engineer in Birmingham
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 Veeva Systems, 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 Veeva Systems. 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 Veeva Systems
✨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 Veeva Systems!
✨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.
