Senior Data scientist: 0824-AM-182

Senior Data Scientist: 0824-AM-182

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Senior Data Scientist

Are you interested in working with data and analytics to solve problems?

Are you interested in bringing your NLP and (gen) AI expertise to projects?

About our Team

We are a diverse team of NLP, machine learning and gen AI experts, taxonomy experts and scientific content experts in biology and chemistry domains. We mainly develop best-in-class enrichment pipelines for Elsevier’s life science products such as Reaxys and Embase.

About the Role

You will be responsible for building, testing, and maintaining our NLP solutions using (gen)AI technology. You will work throughout the whole life cycle of data science projects: design, implementation, production and beyond. You will deliver efficient and production-ready Python code. You will collaborate with the technology team to deploy and productionize our data science pipelines.

Responsibilities

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• Data collection, data analysis, model development, defining quality metrics, quality assessment of models and regular presentations to stakeholders.
  
• Creating production-ready Python packages for each component of data science pipelines (such as pre-processing and model inference) and their deployment together with the technology team.
  
• Integration of data science components and end-to-end quality assessment.
  
• Keeping our data science pipelines robust against model drift and ensuring continuous output quality; development of needed tools and strategies for maintenance such as automatic model re-training.
  
• Establishing the reporting process of the performance of the pipeline, and automatic re-training strategy for the existing pipelines.
  
• Leading and managing projects with a team of data scientists and independently executing the entire small-scale projects.
  
• Consistently communicating team goals and milestone achievements to internal stakeholders.
  

Requirements

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• At least 4+ years of relevant applied experience and MSc/MTech in the field of computer science, data science, artificial intelligence, mathematics, statistics, bioinformatics or other quantitative fields or at least 5 years of relevant experience. PhD in the field is a plus. International working/education experience is a plus!
  
• Strong hands-on knowledge of Python, able to write unit tests and production ready code adhering to best practices and object-oriented programming principles.
  
• Data processing, cleaning, and analysis skills: experience with Pandas, NumPy, Matplotlib, SciPy.
  
• Hands-on machine learning experience on classification, regression, clustering, and text Mining. You have a good understanding of Neural Networks, Random Forests, Logistic Regression, SVM, K-Means etc., and are a confident user of Scikit-learn, PyTorch and/or Tensorflow.
  
• Experience in training, building, fine-tuning or evaluating LLMs, and RAG infrastructure is a plus.
  
• Experience or affinity with vector databases, embedding models is a plus.
  
• Very good communication and presentation skills, in particular proven ability to convey data science concepts effectively to non-technical audiences.
  
• Proven experience in managing projects and communicating with stakeholders.
  
• Willingness to learn, analytical thinking, problem solving skills; ability to translate complex requirements into practical solutions.
  
• Experience with Git, basic DevOps and CI/CD skills, cloud computing (AWS, Azure), Open Search, Databricks.
  
• Interest and willingness to gain experience in MLOps and data science productionization.
  

Work in a way that works for you

We promote a healthy work/life balance across the organisation. With an average length of service of 9 years, we are confident that we offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

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• Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
  

Working with us

We are an equal opportunity employer with a commitment to help you succeed. xnkfpon Here, you will find an inclusive, agile, collaborative, innovative and fun environment, where everyone has a part to play. Regardless of the team you join, we promote a diverse environment with co-workers who are passionate about what they do, and how they do it.