This role offers a flexible work location across Ireland. Whether that be in the office, remote from anywhere in Ireland, or a mix of office/remote work in Ireland, you choose what works best for your lifestyle.
There are quarterly team meet ups that all of the team are expected to attend in our Dublin office - a good opportunity to catch up and spend some time working together in person.
Your time is valuable. To help with your application, we advise that regrettably we cannot offer work permit sponsorship/ self sponsorship for this role.
As an ambitious and talented Lead Data Scientist joining our growing team, you will have experience of building machine learning solutions to solve complex business problems, ideally within a SAAS product focused environment. You will be adept at working through the full development pipeline from exploratory analysis to production, and comfortable working in a fast-paced environment, where agility and resourcefulness are essential. You will have the opportunity to work in a culture that values autonomy and encourages novel and creative solutions to problems - not just the same old model development process.
You are a team player working within the data science team and in collaboration with the product and engineering teams to develop innovative analytical solutions. You’ll ship a product that delivers the best value for our customers in line with a clear company strategy with data science innovation as a core pillar of the product.
You will work in classical machine learning tasks (classification, regression) as well as innovative Generative Ai applications.
- This is an individual contributor role and does not involve people management.
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Own the model development process from initial exploratory analysis and proof of concept through to production. You will be the catalyst that starts and progresses the development process and work in collaboration with colleagues to bring this to deployment
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Develop classification, regression and clustering models as appropriate to solve business problems
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Apply generative models to generate text, reports and insights as part of exciting new product features
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Analyse natural language text to uncover insights and transform data
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Develop proof of concepts to business problems including research of novel machine learning techniques and libraries to solve business problems
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Work with engineering colleagues to deploy models and AI solutions to production
To be successful in the role, you need:
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5+ Years developing machine learning models and solutions, ideally in a software product focused environment
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Strong programming skills in Python
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Strong skills in NLP, foundational representations like TFIDF matrices and topic modelling as well familiarity with Word2vec, Transformers etc... Experience working with text embeddings for data extraction, classification etc..
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Some familiarity with generative ai text based applications and frameworks, in particular applying generative ai models to product application development. Knowledge of frameworks such as langchain or llamaindex may be useful but not essential. Similarly familiarity with patterns like RAG would be beneficial but not essential
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Application of classification techniques to multiclass and multi label classification.
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Familiarity with base Python stack such as Numpy,SciPy, Sklearn and experience developing Neural Network models in Keras/Tensorflow/PyTorch.
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Application of regression techniques to predict continuous outcomes. Some familiarity with Time Series forecasting is also a plus.
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Clustering and segmentation analysis is also beneficial, familiarity with core algorithms like KMeans, DbScan etc..
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Comfortable working with ambiguity in a fast-paced product environment
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A passion for building product-focused solutions that solve customer problems
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A track record of shipping product by working collaboratively with product and software engineering teams
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Ability to work autonomously
The following are a bonus!
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Experience deploying machine learning systems to the cloud is beneficial In particular experience working with AWS machine learning stack as well as some familiarity with CI/CD tools such as Jenkins/AWS Codebuild/Bitbucket pipelines/Github actions
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Experience working with docker and containerised environments is a plus ; also some bash scripting experience and linux shell knowledge is advantageous. Experience working in a shared code repository with version control using git
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Some experience of dashboard tools such as PowerBi/Qlik/Tableau a plus but not necessary
We’re growing fast and so is the experience we can offer you:
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A huge opportunity to make a real impact, to shape what we do and where we are going.
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The exposure and challenge you need to learn, grow and progress your career in a high growth environment.
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Complex technical and business problems to solve and the trust and autonomy you need to go and solve them.
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A sound, helpful team, in a friendly, values-driven and inclusive environment.
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Competitive salary.
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25 days of holidays.
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Comprehensive health insurance, life insurance and long term illness/income protection.
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Fully flexible work location and work patterns so you can balance life at home with life at work - come to the office, work at home… or enjoy a blend of both at your discretion.
We are a diverse and inclusive bunch of people. We welcome diverse perspectives and people who make every day count and strive for constant improvement. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
Hi, we’re Brightflag, the AI-powered, enterprise legal management platform that helps corporate legal departments operate with greater clarity, efficiency, and control.
Powered by our patented AI, which was developed with over 100,000 hours of legal and engineering expertise, and supported by our best-in-class Customer Success teams, Brightflag enables in-house legal teams to streamline operations, manage matters and spend, and collaborate more effectively with outside counsel.
Today, Brightflag is trusted by leading global organizations and forms part of the Legal & Regulatory division of Wolters Kluwer, a global provider of professional information, software solutions, and services. You can learn more about Brightflag here.
To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.
Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.
