Data Scientist
WFA Digital Insight
The demand for skilled data scientists has skyrocketed in recent years, with a reported 25% increase in job openings in 2025 alone. Axiom's unique approach to transforming procurement decision-making through AI-driven insights makes this role particularly compelling. With the remote work landscape continuing to evolve, professionals with strong digital skills are in high demand. As the market for data-driven solutions grows, so does the need for experts who can navigate complex data sets and develop innovative solutions. Candidates should be prepared to showcase their technical prowess and collaborative spirit in a fast-paced, entrepreneurial environment.
Job Description
## About the Role As a Data Scientist at Axiom, you will be at the forefront of developing and implementing cutting-edge data analytics solutions. Working closely with cross-functional teams, including software developers and consultants, you will play a pivotal role in driving business growth and expansion. Your expertise in machine learning, data visualization, and statistical analysis will be crucial in informing business decisions and shaping the company's technical direction.
The Data Science team at Axiom operates with a high degree of autonomy, allowing for innovative thinking and rapid experimentation. You will have the opportunity to work on diverse projects, from model building and domain research to data visualization and reporting. Your contributions will not only impact the company's bottom line but also influence the development of industry-leading analytics and reporting capabilities.
Axiom's commitment to using data to drive procurement intelligence is unparalleled. By joining the team, you will be part of a movement that is revolutionizing the way procurement decisions are made, focusing on delivering meaningful savings and achieving environmental and social responsibility objectives.
## What You Will Do - Develop and deploy machine learning models to drive business insights and decision-making - Conduct extensive domain research to identify trends, opportunities, and challenges - Design and implement data visualization tools to communicate complex data insights effectively - Collaborate with software developers to integrate data science solutions into existing products and services - Work closely with the consulting team to develop and deliver customized solutions for clients - Participate in architectural decision-making to ensure alignment with business objectives - Develop and maintain large-scale datasets to support data-driven decision-making - Stay abreast of industry trends and emerging technologies in data science and machine learning - Contribute to the development of industry-leading analytics and reporting capabilities - Engage in continuous learning and professional development to enhance skills and expertise
## What We Are Looking For - A strong foundation in statistics and machine learning principles - Experience with Python and SQL, with the ability to write high-quality code - Excellent data visualization skills, with experience using tools like Tableau or Power BI - Strong interpersonal and communication skills, with the ability to work effectively in a distributed team - A minimum of two years of experience in a data science role, or a PhD in a related field - Experience working in a fast-paced, entrepreneurial environment - Ability to work independently and manage projects with minimal supervision - Strong attention to detail and accuracy in data analysis and reporting
## Nice to Have - Experience with cloud computing platforms, such as AWS or Google Cloud - Familiarity with agile development methodologies and version control systems like Git - Knowledge of data engineering principles and experience with data pipelines - Experience working with large datasets and distributed computing systems
## Benefits and Perks - Competitive salary package - Flexible location, with the option to work from home or the office - 25 days of annual leave, plus UK bank holidays - Annual bonus based on company performance - Pension scheme and private medical insurance - Opportunities for professional development and continuous learning - Collaborative and dynamic work environment with a team of talented professionals
How to Stand Out
- tip: Tailor your resume and cover letter to highlight your experience with machine learning, data visualization, and statistical analysis.
- tip: Prepare to discuss specific projects you've worked on, including the challenges you faced and how you overcame them.
- tip: Be ready to showcase your coding skills, particularly in Python and SQL, and be prepared to complete a technical assessment as part of the interview process.
- tip: Research Axiom's unique approach to procurement intelligence and be prepared to discuss how your skills and experience align with the company's mission and goals.
- tip: Consider creating a portfolio of your work, including examples of data visualizations and machine learning models you've developed, to demonstrate your expertise to potential employers.
- tip: Don't be afraid to negotiate your salary and benefits package – Axiom is committed to attracting top talent and may be willing to negotiate to secure the right candidate.
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