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- Tasks: Analyse complex datasets and build machine learning models to drive insights.
- Company: Dynamic tech company focused on data-driven solutions and innovation.
- Benefits: Competitive salary, career growth opportunities, and exposure to advanced analytics.
- Other info: Inclusive workplace committed to diversity and professional development.
- Why this job: Make a real impact by solving real-world problems with data.
- 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 Scientist in Bolton 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 Scientist in Bolton
✨Tip Number 1
Network like a pro! Reach out to fellow data enthusiasts on LinkedIn or at local meetups. We can’t stress enough how valuable connections can be in landing that dream Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning models and data visualisations. We recommend using platforms like GitHub to share your projects and make them easily accessible to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and problem-solving abilities. We suggest practicing common data science interview questions and even doing mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Scientist in Bolton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, especially within the UK market. We want to see how your skills align with the role, so don’t be shy about showcasing your machine learning projects and technical expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our team. We love seeing candidates who can communicate their insights clearly, so keep it engaging and relevant.
Showcase Your Technical Skills: When applying, make sure to mention your proficiency in Python or R, as well as any experience with machine learning frameworks. We’re looking for hands-on experience, so include specific examples of how you’ve used these tools to solve real-world problems.
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, you’ll get to explore more about what we do 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 the datasets you’ve worked with. Be ready to discuss specific examples of how you analysed complex data, identified trends, and generated insights. This shows your hands-on experience and analytical skills.
✨Showcase Your Machine Learning Skills
Prepare to talk about the machine learning models you've designed and deployed. Bring examples of frameworks you've used, like TensorFlow or Scikit-learn, and be ready to explain your approach to model evaluation and optimisation.
✨Communicate Clearly
Practice explaining your findings in a way that’s easy for non-technical stakeholders to understand. Use visuals if possible, as this can help convey complex ideas more effectively. Remember, communication is key!
✨Stay Updated on Regulations
Brush up on UK data regulations, especially GDPR. Being knowledgeable about compliance shows that you take data governance seriously, which is crucial for any data-driven role.