The Opportunity

As an ambitious and talented Senior Data Scientist joining our growing team, you will have previous experience of deploying machine learning solutions to solve complex business problems, ideally within a product focused environment. You will be adept working through the full development pipeline from exploratory analysis to deployment, and comfortable working in a start-up 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 be focused on external and internal facing Data Science projects - product facing features to provide insight, value & automation for our customers and models that make our internal processes more efficient and robust.

You will work in classical machine learning tasks (classification, regression) as well as innovative Generative Ai applications.

What You Will Be Doing

Own the full model development process from initial exploratory analysis and proof of concept through to deployment in production
Develop classification, regression and clustering models as appropriate to solve business problems
Apply generative models to generate text, reports and insights as part of exciting new product features
Analyse natural language text to uncover insights and transform data
Develop proof of concepts to business problems including research of novel machine learning techniques and libraries to solve business problems
Deploy models in our cloud infrastructure and design and implement MlOps pipelines
Deploy models to production in the Brightflag app, working with engineering and product teams

Skills & Experience

To be successful in the role, you need:

5+ Years developing and deploying machine learning models and solutions, ideally in a software product focused environment
Strong programming skills in Python
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..
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
Application of classification techniques to multiclass and multi label classification.
Familiarity with base Python stack such as Numpy,SciPy, Sklearn and experience developing Neural Network models in Keras/Tensorflow/PyTorch.
Application of regression techniques to predict continuous outcomes. Some familiarity with Time Series forecasting is also a plus.
Clustering and segmentation analysis is also beneficial, familiarity with core algorithms like KMeans, DbScan etc..
Comfortable working with ambiguity in a fast-paced product environment
A passion for building product-focused solutions that solve customer problems
A track record of shipping product by working collaboratively with product and software engineering teams
Ability to work autonomously

The following are a bonus!

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
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
Some experience of dashboard tools such as PowerBi/Qlik/Tableau a plus but not necessary

Life @ Brightflag

We’re growing fast and so is the experience we can offer you:

A huge opportunity to make a real impact, to shape what we do and where we are going.
The exposure and challenge you need to learn, grow and progress your career in a rapidly growing scale-up.
Complex technical and business problems to solve and the trust and autonomy you need to go and solve them.
A sound, helpful team, in a friendly, values-driven and inclusive environment.
Competitive salary.
Share options.
25 days holidays + 4 company ‘Reset’ days throughout the year.
Comprehensive health insurance, life insurance and long term illness/income protection.
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.
Learning subsidy of €2,000/US$2,200/AU$3,200 annually, to spend as you wish, plus study and examination leave where applicable. Our ‘bookworm’ program also enables you to order a book a month.. on us!
Access to Pluralsight - the on demand learning platform for tech teams.
The Tax-Saver or Cycle-to-Work Scheme.
Wellbeing program & stipend.
Home office set-up supports.

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.

Location & Eligibility

This role offers a flexible work location across Ireland. Whether that be in the office (as public health guidelines allow), remote from anywhere in Ireland, or a mix of office/remote work in Ireland, you choose what works best for your lifestyle. Our team comes together at least once a quarter to connect, strategise and socialise.

About Brightflag

Hello, We’re Brightflag - one of the fastest-growing tech startups in the legal world - we’re on a mission to transform legal operations. Our patented AI-powered software combined with a best-in-class Customer Success team empowers corporate legal teams to do better, no matter the starting point. Our SaaS platform was the first to apply artificial intelligence and machine learning to legal operations management and has invested more than 100,000+ hours in its development. Using Brightflag, corporate legal teams achieve visibility into their operations, streamline internal workflows, and engage with outside counsel more efficiently. You can learn more about Brightflag Here.

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You can contact our Data Protection Officer with requests or concerns at dpo@brightflagm.com. If you are unsatisfied with the response you have the right to lodge a complaint with your supervisory authority.

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