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For Companies At a Glance
- Tasks: Transform complex data into actionable insights and build innovative models.
- Company: Dynamic Leeds-based Data & AI consultancy with a collaborative culture.
- Benefits: Hybrid work setup, competitive salary, and opportunities for professional growth.
- Why this job: Join a team that tackles real-world problems using cutting-edge data science techniques.
- Qualifications: 2+ years in data science, strong Python and SQL skills, and a self-starter mindset.
- Other info: Fast-paced environment with diverse projects and excellent career advancement potential.
The predicted salary is between 36000 - 60000 ÂŁ per year.
About Us
Impactive are exclusively partnered with a Leeds-based Data & AI consultancy that turns messy, complex data into decisions people can actually use. They’re expanding their team and are hiring a mid-level Data Scientist, based in Leeds City Centre with a hybrid setup (2 days per week in-office). Their work sits at the intersection of data science, machine learning, and real-world problem solving. They help organisations ask better questions of their data, and then build the models, tools, and insight to answer them. They’re big believers that great results come from a smart mix of technology and humans who know how to use it. No hype, no black boxes for the sake of it - just thoughtful, practical applications of data and AI that deliver impact. This consultancy works with a growing portfolio of established organisations across multiple industries, partnering closely with client teams to tackle some genuinely interesting problems.
The Person
You’re the kind of person who enjoys getting your hands dirty with data, but also likes stepping back to ask “what problem are we actually trying to solve here?” You’ll likely have:
- 2+ years’ experience working in data science.
- Comfortable wrangling large datasets in cloud-based data platforms.
- A self-starter mindset - you’re comfortable teaching yourself new tools, techniques, or approaches when needed.
- The ability to stay calm (and curious) when requirements change - because in consultancy, they will.
- An appetite for a fast-moving, consultancy-style environment where no two projects look quite the same.
- A relevant degree or equivalent practical experience in a quantitative or computational discipline, with solid foundations in statistics and programming.
The Role
You’ll be embedded in client delivery from day one, initially working in a BigQuery-based environment, with opportunities to support other data platforms over time. In practice, that means you’ll:
- Design, build, test, and deploy data science and machine learning models inside client data environments.
- Create prototypes and proof-of-concepts to explore ideas, test assumptions, and shape future solutions.
- Translate fuzzy business questions into clear analytical approaches, models, and success metrics.
- Work in an agile delivery setup where iteration, feedback, and improvement are part of the job.
- Provide both tactical and strategic data science support to help clients get real value from their data.
- Sweat the details - with strong quality control, validation, and reproducibility baked into your work.
- Collaborate closely with teammates, sharing ideas, challenging assumptions, and helping each other deliver great work.
Skills and Experience
You’ll combine strong technical foundations with the ability to communicate clearly and deliver pragmatically in varied client environments.
Technical Skills- Strong analytical and problem-framing skills - you can turn ambiguous questions into testable hypotheses and robust analyses (essential).
- Excellent Python and SQL skills (essential).
- Hands-on experience with common Python data science and machine learning libraries (e.g. pandas, scikit-learn, and friends) (essential).
- Experience using version control (e.g. Git) to collaborate and manage code sensibly (essential).
- Experience working with large-scale data and cloud platforms such as BigQuery, Snowflake, or Databricks (nice to have).
- Experience designing and deploying machine learning workflows in cloud environments (nice to have).
How You Work
You communicate clearly, listen well, and can explain complex ideas without disappearing into jargon (essential). You’re resilient and persistent - if the first approach doesn’t work, you try another (essential). You’re organised, manage your time well, and can juggle multiple moving parts (essential). You enjoy working as part of a team and actively contribute ideas, feedback, and solutions (essential). You care about quality - validating assumptions, checking data, and producing work you’re proud to put your name to (essential).
Data Scientist in Leeds employer: Impactive IT
Contact Detail:
Impactive IT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Leeds
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at the consultancy. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects. Whether it’s a GitHub repo or a personal website, having tangible examples of your work can really set you apart during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on your problem-solving skills. Expect to tackle real-world scenarios and be ready to explain your thought process. Remember, they want to see how you approach challenges!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who are eager to make an impact with data.
We think you need these skills to ace Data Scientist in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Scientist. Highlight your experience with data wrangling, machine learning, and any relevant projects that showcase your problem-solving skills. We want to see how you can turn complex data into actionable insights!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this consultancy role and how your background aligns with their mission. Don’t forget to mention your self-starter mindset and adaptability in fast-paced environments – those traits are gold!
Showcase Your Technical Skills: Be sure to list your technical skills prominently, especially Python, SQL, and any experience with cloud platforms like BigQuery. We love seeing hands-on experience with data science libraries too, so don’t hold back on sharing your expertise!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Impactive IT
✨Know Your Data Science Fundamentals
Brush up on your statistics and programming skills, especially in Python and SQL. Be ready to discuss how you've applied these skills in real-world scenarios, as this consultancy values practical applications of data science.
✨Prepare for Problem-Solving Questions
Expect to tackle ambiguous business questions during the interview. Practice framing these questions into testable hypotheses and think about how you would approach solving them using data science techniques.
✨Showcase Your Collaboration Skills
Since teamwork is key in this role, be prepared to share examples of how you've worked with others to deliver projects. Highlight your ability to communicate complex ideas clearly and how you’ve contributed to team success.
✨Demonstrate Your Adaptability
Consultancy environments can change rapidly, so be ready to discuss times when you've had to adapt to new requirements or tools. Show that you’re a self-starter who thrives in fast-paced settings and can learn on the go.
