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For Companies At a Glance
- Tasks: Design and implement software systems while collaborating on exciting data projects.
- Company: Join a leading IT management firm working with top brands like Spotify and Metro Bank.
- Benefits: Competitive salary with annual increases, excellent management support, and creative problem-solving opportunities.
- Why this job: Make an impact in the tech world while gaining valuable experience and skills.
- Qualifications: Bachelor’s degree in IT, Computer Science, or related fields; strong communication and teamwork skills.
- Other info: Dynamic role with travel opportunities and a focus on innovation and collaboration.
The predicted salary is between 20000 - 28000 £ per year.
Overview
We are seeking an innovative and results-driven Data Scientist with a strong focus on Machine Learning and deep proficiency in Python. You will be instrumental in transforming complex data into actionable insights, building predictive models, and driving business strategy using cutting-edge analytical techniques. This role is for a hands-on individual who is excited to move models from the lab into production.
Responsibilities
- Model Development & Implementation: Design, develop, train, validate, and deploy advanced Machine Learning models (e.g., classification, regression, clustering, deep learning) to solve complex business problems.
- Data Wrangling & Analysis: Perform comprehensive Exploratory Data Analysis (EDA), data cleaning, feature engineering, and transformation on large, complex, and sometimes unstructured datasets.
- Coding & Automation: Write production-quality, highly efficient, and scalable code primarily in Python for data processing, analysis, and model creation.
- Experimentation & Optimization: Conduct A/B testing, hypothesis testing, and rigorous model validation, continually iterating and tuning algorithms to maximize performance, accuracy, and efficiency.
- Collaboration & Communication: Work closely with cross-functional teams (e.g., product managers, engineers, business stakeholders) to define project scope, interpret model results, and clearly present data-driven recommendations to both technical and non-technical audiences.
- Deployment & MLOps: Collaborate with ML/Data Engineers to deploy, monitor, and maintain ML models in a production environment, ensuring stability and performance over time.
Required Skills and Qualifications
Technical Expertise (The Core)
- Programming: Expert proficiency in Python and its core data science libraries: Pandas, NumPy, and SciPy.
- Machine Learning: Deep, practical experience with popular ML frameworks and libraries: scikit-learn, TensorFlow, or PyTorch.
- Statistics & Math: Strong foundation in statistical modeling, probability, hypothesis testing, regression analysis, and multivariate calculus/linear algebra for understanding model mechanics.
- Databases & Querying: Proficiency in SQL for extracting, manipulating, and preparing data from relational databases. Experience with NoSQL databases is a plus.
- Big Data/Cloud: Experience with big data tools (Spark, Hadoop) and cloud computing platforms (AWS, Azure, or GCP) for scalable ML workflows.
- Visualization: Ability to create clear, compelling data visualizations using tools like Matplotlib, Seaborn, Tableau, or Power BI to communicate insights.
Education & Experience
- Bachelor\’s or Master\’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
- [Number] years of professional experience as a Data Scientist or in a highly quantitative role.
Soft Skills (Your X-Factor)
- Curiosity: A strong passion for data and an inherent curiosity to explore, question, and challenge assumptions.
- Problem-Solving: Excellent analytical and structured thinking skills to tackle complex, ambiguous business problems.
- Storytelling: The ability to translate complex statistical and ML outputs into simple, business-relevant narratives and recommendations.
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Junior Data Scientist employer: Information Tech Consultants
Contact Detail:
Information Tech Consultants Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, workshops, or even online webinars. You never know who might have a lead on that perfect Junior Data Scientist role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data collection and analysis. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to data science. Brush up on your technical skills and be ready to discuss how you've tackled complex projects in the past. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who fit the bill. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Junior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Junior Data Scientist role. Highlight relevant skills and experiences that match the job description, especially those related to data processing and collaboration.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for data science and how your background aligns with our core values of innovation, collaboration, and passion.
Showcase Your Projects: If you've worked on any data-related projects, be sure to mention them! Whether it's coursework, internships, or personal projects, showcasing your hands-on experience can really set you apart.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Information Tech Consultants
✨Know Your Data
Make sure you brush up on your data science fundamentals. Be prepared to discuss your experience with ETL processes and how you've handled large datasets in the past. It’s a good idea to have specific examples ready that showcase your problem-solving skills and technical expertise.
✨Show Your Passion for Innovation
Since the company values innovation, think of ways you've contributed creatively in previous projects. Be ready to share ideas on how you can bring fresh perspectives to their data solutions. This will demonstrate your alignment with their core values.
✨Collaboration is Key
Highlight your teamwork skills during the interview. Prepare examples of how you've successfully collaborated with others, especially in high-pressure situations. This will show that you can work well with diverse teams and demanding stakeholders.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and culture. This not only shows your interest but also gives you a chance to assess if the company aligns with your career goals. Asking about their approach to data architecture or recent innovations can spark a great conversation.
