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For Companies At a Glance
- Tasks: Design and deploy data-driven solutions while collaborating with a dynamic Agile team.
- Company: Fast-growing SaaS organisation focused on innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by leveraging data to drive business success and mentor others.
- Qualifications: Degree in relevant field and strong skills in Python, SQL, and machine learning.
- Other info: Join a vibrant team with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Working as part of an Agile technology team within a fast growing SaaS organisation, the Data Specialist / Data Scientist will be responsible for designing, developing, and deploying data-driven solutions that support organisational objectives. The role involves close collaboration with stakeholders to identify opportunities to leverage data effectively, develop predictive models, and deliver clear, actionable insights. The Data Specialist / Data Scientist will also mentor colleagues on best practice in data analysis, help ensure high data quality standards, and contribute to the organisation’s wider data and AI strategy.
Key Stakeholder Relationships:
- Product owners
- Software developers
- Testers
- Delivery managers
- Professional services teams
- Technical architects
Role Responsibilities:
- Collecting, cleaning, validating, and preparing data from multiple sources
- Designing and implementing data models and algorithms to address business challenges
- Building, testing, and deploying predictive analytics and machine learning solutions
- Visualising data and communicating insights clearly to technical and non-technical stakeholders
- Ensuring data integrity, security, and compliance with internal policies and relevant regulations
- Collaborating with cross-functional teams to integrate data solutions into products and services
- Documenting data processes, models, and methodologies
- Keeping up to date with emerging data science tools, techniques, and industry trends
- Proactively raising risks, issues, or concerns with appropriate stakeholders
Qualifications & Experience:
- Degree in Computer Science, Mathematics, Statistics, or a related discipline
- Strong proficiency in Python or R for data analysis
- Experience working with SQL and relational databases
- Proven experience building and deploying machine learning models
- Experience using a major cloud platform
- Exposure to big data technologies (e.g. distributed data processing frameworks)
- Experience with data visualisation tools
- Knowledge of data governance, security, and compliance principles
Skills & Abilities:
- Python and/or R
- SQL
- Data wrangling, cleaning, and preparation
- Statistical analysis and modelling
- Machine learning frameworks and optimisation techniques
- Knowledge and experience of the following: Optimization algorithms, SciPy, CVXPY, Pyomo and solvers GLPK, CBC and CPLEX, or similar versions.
- Cloud-based data and analytics services
- Data visualisation tools
- Machine learning platforms
- Version control and DevOps practices
- Experience working with REST APIs
Personal Attributes:
- High personal and professional integrity with a strong drive for excellence
- A collaborative team player with strong interpersonal and communication skills
- Ability to engage and motivate colleagues
- Willingness to mentor less experienced team members and share knowledge
- Proactive ownership of personal development and performance goals
- A strong commitment to delivering high-quality outcomes through collaboration
Data Specialist employer: AEJ Consulting Ltd
Contact Detail:
AEJ Consulting Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Specialist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, predictive models, and visualisations. This will give you an edge and demonstrate your expertise to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data-related questions and scenarios. Practice explaining your past projects and how you've collaborated with teams to solve business challenges.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s a great way to ensure your application gets noticed.
We think you need these skills to ace Data Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Specialist role. Highlight your experience with Python, SQL, and any machine learning projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can contribute to our team. Don't forget to mention any relevant projects or experiences that showcase your expertise.
Showcase Your Projects: If you've got any cool data projects, make sure to include them in your application. Whether it's a predictive model or a data visualisation, we love seeing practical examples of your work and how you tackle real-world problems.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at AEJ Consulting Ltd
✨Know Your Data Tools
Make sure you brush up on your skills with Python, R, and SQL before the interview. Be ready to discuss specific projects where you've used these tools to solve real-world problems. This will show that you not only understand the theory but can also apply it practically.
✨Showcase Your Collaboration Skills
Since the role involves working closely with various stakeholders, prepare examples of how you've successfully collaborated in the past. Highlight any experiences where you’ve worked with product owners or technical teams to deliver data-driven solutions.
✨Prepare for Technical Questions
Expect some technical questions about machine learning models and data visualisation techniques. Brush up on your knowledge of algorithms and be ready to explain your thought process when designing data models. Practising common interview questions can help you feel more confident.
✨Communicate Clearly
You’ll need to convey complex data insights to both technical and non-technical stakeholders. Practice explaining your past projects in simple terms, focusing on the impact of your work. This will demonstrate your ability to communicate effectively, which is crucial for this role.
