At a Glance
- Tasks: Support AI and ML solutions for innovative Workday products while learning from experienced colleagues.
- Company: Join Kainos, a people-first tech company focused on collaboration and innovation.
- Benefits: Competitive salary, supportive culture, and opportunities for personal and professional growth.
- Other info: Diverse team culture that values creativity and collaboration.
- Why this job: Make a real impact in a fast-paced environment while building your data science skills.
- Qualifications: Experience in data science, Python programming, and a passion for learning.
The predicted salary is between 60000 - 80000 £ per year.
hackajob is collaborating with
Kainos to connect them with exceptional professionals for this role.
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 an Associate Data Scientist within Kainos' Workday Products division, you will support the delivery of AI and ML solutions across our fast-growing suite of Workday products, including Kainos Smart (Smart Test, Smart Audit and Smart Shield), Employee Document Management and Pay Transparency Analyzer, working closely with senior colleagues to learn and apply data science techniques on live client projects.
This is a great opportunity to build your technical skills in a fast-paced environment, while contributing meaningfully to the team's delivery and growth.
Essential Experience
- Typically 2+ years of relevant industry experience.
- Foundational knowledge of mathematics, statistics, and machine learning principles, with an ability to apply these to derive insights from data under guidance.
- Working knowledge of Python programming, with an interest in writing clean, efficient code for AI/ML solutions.
- Hands-on experience, through study, internships, or personal projects, with machine learning frameworks (e. g., Scikit-learn, Tensor Flow, Py Torch).
- Exposure to supporting the deployment of AI/ML models, working alongside engineering colleagues.
- Some exposure to generative AI concepts and tools (e. g., Open AI GPT, Hugging Face Transformers), gained through coursework, internships, or personal projects.
- Basic awareness of cloud technologies (AWS, Azure, or GCP).
- Some experience creating visualisations or dashboards (e. g., Dash, Streamlit), through coursework or previous roles.
- Good interpersonal skills, with an interest in explaining technical concepts to non-technical audiences.
- Enthusiasm for learning from and collaborating with senior team members.
Desirable Experience
- BSc in a quantitative field such as Computer Science, Machine Learning, Operational Research, or Statistics.
- Academic, internship, or personal projects delivering data science outputs.
- Basic familiarity with CI/CD pipelines or MLOps concepts.
- Exposure to containerisation technologies (e. g., Docker).
- Some experience working with relational or No SQL databases (e. g., Postgre SQL, Mongo DB).
- Familiarity with Workday data structures, APIs, or reporting tools is an advantage.
- Willingness to participate in team knowledge-sharing activities.
- Embracing our differences
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.
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Data Scientist - Workday Products employer: hackajob
At hackajob, we pride ourselves on being an exceptional employer that fosters a culture of innovation and inclusivity. Our diverse team thrives in a high-performance environment where your contributions directly impact our multi-asset platform's success. With ample opportunities for professional growth and a commitment to employee development, joining us means being part of a forward-thinking company that values your expertise and ambition.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Workday Products
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We think you need these skills to ace Data Scientist - Workday Products
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!
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Craft a Tailored Cover Letter:For a full-time role at hackajob, 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. 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
✨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!
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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!
✨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.
