Senior Data Scientist

T-pro; Letterkenny; Hybrid; EUR 60,000 - 80,000; Full time

Job summary

A leading company is seeking a Senior Data Scientist in Letterkenny to develop innovative AI and machine learning solutions. The role involves collaborating on cutting-edge projects, manipulating large datasets, and implementing complex models to address business challenges. The company offers a hybrid work model and a competitive salary package with benefits.

Benefits

Competitive salaries

Bonus

Health care

Life insurance

Laptop and phone

Extensive training resources

Company discounts

On site parking

Qualifications

• Proven experience as a Data Scientist with a strong portfolio.
• Hands-on experience with Large Language Models and NLP techniques.
• Basic UX development skills and front-end technologies experience.

Responsibilities

• Acquire, clean, and manipulate large datasets for actionable insights.
• Develop and implement machine learning models for business solutions.
• Collaborate with teams to deliver impactful analytical insights.

Skills

Statistical modeling techniques

Machine learning

Python

SQL

Data manipulation

Natural language processing

Education

Master’s degree in computer science, Mathematics, Engineering, or related field

Tools

TensorFlow

PyTorch

NumPy

pandas

scikit-learn

statsmodels

Job description

My client is looking for an experienced Data Scientist to join their growing team. You develop data driven strategies to drive the meaningful recommendations and models. As a Senior Data Scientist, you will play a pivotal role in driving the development of cutting-edge machine learning solutions for our client. Your responsibilities will encompass collaboration with cross-functional teams to deliver impactful solutions. You will be at the forefront of driving innovation and leveraging the power of AI and machine learning to solve real-world problems and help drive the business.

The Role

Acquire, clean, and manipulate large datasets to extract actionable insights. Understand business problems and translate them into analytical problems. Develop and implement machine learning models, including but not limited to Large Language Models to solve various business problems. Identify hidden relationships among data sources and identify new potential business opportunities.

Build solutions leveraging advanced machine learning and statistical algorithms. Simplify and present analytical insights to stakeholders with both analytical and non-analytical backgrounds. Develop lightweight front ends for Proof of Concepts using ReactJS. Stay current with key developments in analytics research and experiment with implementing them in real project scenarios.

Manage project plans and timelines to ensure high-quality and timely delivery. Build data products in collaboration with other areas such as ML Engineering, Visualisation, Data Engineering, and IT.

Skills/Experience Needed

Master’s degree in computer science, Mathematics, Engineering, or a related. Proven experience as a Data Scientist or similar role, with a strong portfolio of machine learning projects. Expertise in statistical modeling techniques such as linear regression, logistic regression, generalized linear models, SVM, ensemble models (Random Forest, XGBoost), cluster analysis, PCA.

Hands-on experience with Large Language Models (e.g., GPT, BERT) and natural language processing techniques is vital. Proficiency in programming languages such as Python, and experience with ML libraries and frameworks (TensorFlow, PyTorch). Strong programming experience with SQL and libraries like NumPy, pandas, scikit-learn, statsmodels.

Good understanding of data structures, algorithms, and statistical methods. Basic UX development skills and experience with front-end technologies, specifically ReactJS, to develop lightweight front-ends for POCs. Ability to convey complex technical information to non-technical stakeholders.

Nice to have: Experience in advanced analytics / Data Science in a consulting space or similar. Advanced degree in Mathematics, Statistics, Computer Science, or a quantitative discipline. Experience building and deploying machine learning models in a commercial setting. Experience with cloud platforms for deploying machine learning models. Familiarity with Agile development methodologies.

Permanent role. Hybrid role, with 2-3 days a week on site in Letterkenny, Co. Donegal Ireland. They offer competitive salaries, including bonus, pension, health care, life insurance, laptop, phone, access to extensive training resources, company discounts, on site parking and other.

You must be eligible to work in Ireland/EU.

Please do not hesitate to Contact David Coyle at 01 6351748 or email [e-mail]