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For Companies At a Glance
- 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: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make an impact by leveraging data to drive business success.
- Qualifications: Degree in a relevant field and strong skills in Python or R.
- Other info: Collaborative environment with a commitment to excellence and personal development.
The predicted salary is between 36000 - 60000 £ per year.
Remote based
Reporting Line - CTO
Direct Reports - None
Key Stakeholder Relationships - Product owners, software developers, testers, delivery managers, professional services teams, and technical architects
Role Purpose
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 organisations wider data and AI strategy.
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
Personal Profile
Qualifications & Experience
Essential
- 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
Desirable
- 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
Essential
- Python and/or R
- SQL
- Data wrangling, cleaning, and preparation
- Statistical analysis and modelling
- Machine learning frameworks and optimisation techniques
Desirable
- Cloud-based data and analytics services
- Data visualisation tools
- Machine learning platforms
- Version control and DevOps practices
- Experience working with REST APIs
Personal Attributes
Essential
- 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
Desirable
- Proactive ownership of personal development and performance goals
- A strong commitment to delivering high-quality outcomes through collaboration
Data Specialist in City of London employer: Alexander Edward James Consulting Limited
Contact Detail:
Alexander Edward James Consulting Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Specialist in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in your 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 any cool visualisations you've done. We love seeing practical examples of your work, and it gives you a leg up when chatting with potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on common data science questions and be ready to discuss your experience with Python, SQL, and machine learning. We want to see how you think and solve problems, so practice explaining your thought process.
✨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’re always on the lookout for passionate candidates who are eager to contribute to our data and AI strategy.
We think you need these skills to ace Data Specialist in City of London
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 tell us 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 Collaboration Skills: Since this role involves working closely with various stakeholders, make sure to highlight your teamwork and communication skills in your application. We love candidates who can engage and motivate their colleagues!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Alexander Edward James Consulting Limited
✨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 SQL in past projects. This will show that you’re not just familiar with the concepts but can apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed and implemented data models or predictive analytics solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how your contributions led to actionable insights and improved outcomes.
✨Communicate Clearly with Stakeholders
Since the role involves collaborating with both technical and non-technical stakeholders, practice explaining complex data concepts in simple terms. Think of a few scenarios where you’ve had to present data insights and how you tailored your communication style to suit your audience.
✨Stay Updated on Industry Trends
Demonstrate your passion for data science by discussing recent trends or tools you’ve been following. Mention any relevant courses or certifications you’ve completed recently. This shows that you’re proactive about your professional development and committed to staying at the forefront of the field.
