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.
- Other info: Join a vibrant team with excellent career advancement opportunities.
- 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.
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
AEJ Consulting Ltd is an excellent employer for those looking to thrive in the fast-paced world of commodity derivatives. With a strong emphasis on employee growth, the company offers comprehensive training programmes and hands-on experience that empower analysts to develop their skills while working closely with trading desks. The collaborative work culture fosters innovation and ensures that every team member plays a vital role in maintaining compliance within a dynamic trading environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Specialist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like AEJ Consulting Ltd!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Specialist at AEJ Consulting Ltd.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like AEJ Consulting Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Data Specialist at AEJ Consulting Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Specialist
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at AEJ Consulting Ltd, 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 AEJ Consulting Ltd. 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 AEJ Consulting Ltd
✨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!
✨Showcase Your Projects
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 AEJ Consulting Ltd!
✨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.
