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For Companies At a Glance
- Tasks: Analyse complex datasets and build machine learning models to drive strategic decisions.
- Company: Join a forward-thinking company focused on data-driven solutions.
- Benefits: Competitive salary, career growth, and exposure to advanced analytics.
- Other info: Diverse workplace committed to innovation and inclusivity.
- Why this job: Make a real impact with data while working in a collaborative environment.
- Qualifications: Degree in Data Science or related field and 3+ years of UK 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.
Marketing Data 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 Marketing Data 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 gives potential employers a taste of what you can do and sets you apart from the crowd.
✨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've solved real-world problems with 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 genuinely interested in joining our team.
We think you need these skills to ace Marketing Data Scientist in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Marketing Data 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 where you've used Python or R to solve real-world problems. We love seeing hands-on experience, so don’t hold back on sharing your successes and the impact of your work!
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. Explain why you're passionate about data science and how you can contribute to our team. Remember, we appreciate straightforward communication!
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’s super easy to do!
How to prepare for a job interview at Fortray Global Service Limited
✨Know Your Data Inside Out
Before the interview, dive deep into the datasets you’ve worked with. Be ready to discuss specific examples of how you identified trends and insights. This shows your analytical skills and gives you a chance to demonstrate your hands-on experience.
✨Showcase Your Machine Learning Skills
Prepare to talk about the machine learning models you've designed and deployed. Bring examples of how you evaluated and optimised model performance. This will highlight your technical expertise and problem-solving abilities.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. You’ll likely need to communicate findings to both technical and non-technical audiences, so being able to articulate your insights clearly is key.
✨Familiarise Yourself with Compliance Standards
Brush up on UK data regulations like GDPR. Being knowledgeable about compliance shows that you understand the importance of data governance and security, which is crucial for this role.