At a Glance
- Tasks: Develop AI and ML solutions for innovative Workday products and lead junior team members.
- Company: Join Kainos, a people-first tech company focused on collaboration and creativity.
- Benefits: Competitive salary, inclusive culture, and opportunities for personal and professional growth.
- Other info: Embrace diversity and enjoy a supportive recruitment process tailored to your needs.
- Why this job: Make a real impact with cutting-edge technology in a diverse and ambitious team.
- Qualifications: 4-5 years of experience in data science, proficient in Python and machine learning frameworks.
The predicted salary is between 63000 - 77000 £ per year.
Join Kainos and Shape the Future. At Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we're transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together.
We believe in a people-first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you'll be part of a diverse, ambitious team that celebrates creativity and collaboration.
Ready to make your mark? Join us and be part of something bigger.
As a Senior Data Scientist within Kainos' Workday Products division, you'll be responsible for developing high quality AI and ML solutions for our fast growing suite of Workday products - including Kainos Smart (Smart Test, Smart Audit and Smart Shield), Employee Document Management and Pay Transparency Analyzer. You will work on the design and delivery of advanced AI/ML solutions that improve the functionality, scalability and efficiency of our Workday product suite. You may also carry some formal line management responsibilities, including appraisals, for more junior members of the team.
Essential Experience:- Typically 4-5 years of relevant industry experience, or less when combined with a relevant PhD.
- Proficient in applying mathematics, statistics, and machine learning principles to derive actionable insights from complex datasets.
- Proficient in Python programming, with a focus on writing clean, efficient, and maintainable code for developing and deploying reliable AI/ML solutions in production environments.
- Hands-on experience using machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) to design and implement solutions.
- Experience deploying AI/ML models to production systems in collaboration with engineering teams.
- Experience working with generative AI use cases, leveraging large language models (e.g., OpenAI GPT, Hugging Face Transformers) to solve real-world problems such as text summarisation, chatbots, or content generation.
- Basic experience with cloud technologies (e.g., AWS, Azure, or GCP).
- Experience creating interactive visualizations and dashboards using tools such as Dash or Streamlit to communicate findings effectively.
- Strong interpersonal skills, with the ability to lead client projects and explain technical concepts in non-technical terms.
- Advanced degree (MSc or PhD) in a quantitative field like Computer Science, Machine Learning, Operational Research, or Statistics.
- Proven track record of delivering data science projects, especially in enterprise software or SaaS environments.
- Basic familiarity with CI/CD pipelines and MLOps practices, including automated testing, model versioning, and monitoring workflows.
- Hands-on experience with containerisation and orchestration technologies (e.g., Docker, Kubernetes) to support AI/ML model deployment.
- Proficiency in cleansing, filtering, and integrating data from diverse sources, including relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, DynamoDB).
- Familiarity with Workday data structures, APIs, and reporting tools.
- Demonstrable experience mentoring junior team members, with some involvement in formal performance appraisal processes, and fostering collaboration within teams.
- Prior involvement in knowledge-sharing activities within teams or through public forums (conferences, blogs, etc.).
At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field.
Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.
Senior Data Scientist - Workday Products in Antrim employer: Hackajob Ltd
At loveholidays, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a Product Designer, you'll have the opportunity to contribute to meaningful projects that enhance customer experiences while enjoying a range of benefits, including professional development opportunities and a supportive team environment in a vibrant location. Join us in our mission to make travel accessible for everyone and be part of a company that values your creativity and input.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Workday Products in Antrim
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior Data Scientist - Workday Products in Antrim
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 Hackajob Ltd, 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 Hackajob Ltd. 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 Hackajob Ltd
✨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 Hackajob Ltd!
✨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.
