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- Tasks: Design and deploy data-driven solutions in a fast-paced Agile team.
- Company: Join a rapidly growing SaaS organisation with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make an impact by leveraging data to drive business success and mentor others.
- Qualifications: Degree in a relevant field and strong skills in Python or R.
- Other info: Collaborative environment with a commitment to high-quality outcomes.
The predicted salary is between 50000 - 70000 £ 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 in London employer: AEJ Consulting Ltd
Contact Detail:
AEJ Consulting Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Specialist in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Specialist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, predictive models, and visualisations. This is your chance to demonstrate your expertise in Python, R, and SQL, and we want to see how you tackle real-world problems.
✨Tip Number 3
Prepare for those interviews! Brush up on common data science questions and be ready to discuss your experience with machine learning and data governance. We recommend practising with a friend or using mock interview platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team!
We think you need these skills to ace Data Specialist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Specialist role. Highlight your proficiency in Python or R, and any experience with SQL and machine learning models. We want to see how you can contribute to our data-driven solutions!
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 your background aligns with our mission at StudySmarter. Don’t forget to mention any collaborative projects you've worked on, as teamwork is key for us.
Showcase Your Projects: If you've worked on any relevant projects, whether in school or professionally, make sure to include them. We love seeing real-world applications of your skills, especially if they involve predictive analytics or data visualisation. It helps us understand your hands-on experience!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there, which can help you tailor your application even further!
How to prepare for a job interview at AEJ Consulting Ltd
✨Know Your Data Inside Out
Before the interview, make sure you’re well-versed in the data tools and techniques mentioned in the job description. Brush up on your Python or R skills, and be ready to discuss how you've used them in past projects. This will show that you’re not just familiar with the tools, but you can also apply them effectively.
✨Prepare for Technical Questions
Expect to face technical questions related to data modelling, machine learning, and SQL. Practise explaining your thought process clearly and concisely. You might even want to prepare a few examples of predictive models you've built or data challenges you've solved to demonstrate your expertise.
✨Showcase Your Collaboration Skills
Since the role involves working closely with various stakeholders, be prepared to discuss your experience in collaborative environments. Share specific examples of how you’ve worked with product owners, developers, or other teams to deliver data-driven solutions. Highlight your ability to communicate complex insights to both technical and non-technical audiences.
✨Stay Updated on Industry Trends
Demonstrating your knowledge of emerging data science tools and trends can set you apart. Research recent advancements in data analytics and machine learning, and be ready to discuss how these could impact the organisation's data strategy. This shows your commitment to continuous learning and staying relevant in the field.