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For Companies At a Glance
- Tasks: Analyse complex datasets and build machine learning models to drive insights.
- Company: Dynamic data-driven company focused on innovation and collaboration.
- Benefits: Competitive salary, career growth, and exposure to advanced analytics.
- Other info: Join a diverse team committed to inclusivity and professional development.
- Why this job: Make a real impact with data while working on exciting projects.
- Qualifications: Degree in Data Science or related field and 3+ years of experience.
The predicted salary is between 50000 - 60000 £ per year.
We are seeking a highly analytical and results-driven Data Scientist to develop data-driven solutions and generate actionable insights. This role focuses on building machine learning models, analyzing complex datasets, and supporting strategic decision-making. The ideal candidate brings hands-on experience within the UK market, strong technical expertise, and a passion for solving real-world problems using data.
Key Responsibilities
- Analyze large and complex datasets to identify trends, patterns, and insights
- Design, develop, and deploy machine learning models and predictive solutions
- Perform data cleaning, preprocessing, and feature engineering
- Collaborate with business stakeholders to translate requirements into data solutions
- Build data visualizations, dashboards, and reports
- Evaluate and optimize model performance
- Communicate findings and recommendations to technical and non-technical audiences
- Ensure compliance with data governance, security, and regulatory standards
Required Qualifications
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field
- Minimum 3+ years of experience in data science within the UK
- Strong proficiency in Python or R for data analysis and modeling
- Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch)
- Strong understanding of statistics, probability, and data modeling techniques
- Experience with SQL and working with large datasets
- Excellent analytical, problem-solving, and communication skills
Mandatory Certification (at least one):
- Microsoft Certified: Azure Data Scientist Associate
- Google Professional Data Engineer
- AWS Certified Machine Learning – Specialty
Preferred Qualifications
- Experience with Microsoft Azure, Amazon Web Services, or Google Cloud Platform
- Familiarity with data visualization tools (e.g., Power BI, Tableau)
- Experience with big data technologies (e.g., Spark, Hadoop)
- Knowledge of MLOps practices and model deployment
- Understanding of UK data regulations (e.g., GDPR)
Skills
- Machine Learning & Predictive Modeling
- Data Analysis & Statistical Modeling
- Programming (Python/R)
- Data Visualization & Communication
- Problem Solving & Critical Thinking
What We Offer
- Competitive, market-aligned salary (UK standards)
- Opportunity to work on impactful, data-driven projects
- Career growth and professional development support
- Exposure to advanced analytics and AI technologies
- Collaborative and innovation-driven work environment
Equal Opportunity Statement
We are an equal opportunity employer. We are committed to building a diverse and inclusive workplace. All qualified applicants will be considered without regard to race, religion, gender, age, disability, or any other protected status.
Data Marketing Scientist in Manchester employer: Fortray Global Service Limited
Contact Detail:
Fortray Global Service Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Marketing Scientist in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect 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, machine learning models, and visualisations. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and practising common data science questions. Be ready to discuss your past projects and how you tackled challenges using data.
✨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 proactive about their job search.
We think you need these skills to ace Data Marketing Scientist in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Marketing Scientist role. Highlight your experience with machine learning models and data analysis, especially within the UK market. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific projects or case studies that demonstrate your analytical skills and technical expertise. If you've built any machine learning models or worked with large datasets, let us know! This is your chance to shine.
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. We appreciate straightforward communication, so make sure to express your passion for data and problem-solving without fluff. We want to get to know the real you!
Apply Through Our Website: Don't forget to apply 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 you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Fortray Global Service Limited
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving data analysis and machine learning. Be ready to discuss specific datasets you've worked with, the challenges you faced, and how you derived actionable insights. This will show your analytical prowess and hands-on experience.
✨Brush Up on Technical Skills
Make sure you're comfortable with Python or R, as well as any machine learning frameworks mentioned in the job description. Practise coding problems related to data cleaning, preprocessing, and feature engineering. Being able to demonstrate your technical skills during the interview can set you apart from other candidates.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or analyse case studies. Think about how you would approach a dataset, what models you would use, and how you would communicate your findings. This will showcase your problem-solving abilities and your understanding of the role's requirements.
✨Communicate Clearly and Confidently
During the interview, practice explaining complex concepts in simple terms. Remember, you'll need to communicate findings to both technical and non-technical audiences. Use examples from your experience to illustrate your points, and don't hesitate to ask clarifying questions if needed.