Impactive IT

www.impactiveit.com

3 Jobs

4 Employees

About the Company

At Impactive, we streamline the recruitment process and are committed to making a significant impact in the industry with our proactive approach.

Founded in 2020, Impactive IT aims to redefine the recruitment landscape, challenging the common negative perceptions associated with recruitment agencies. We specialize in delivering exceptional service to the rapidly expanding IT/Tech market.

Our services include both Permanent and Contract sourcing, with expertise in the following areas:

Software Development
Software Testing
Project/Programme Management
Data & AI
Infrastructure
Architecture
Business Growth

The recruitment industry is constantly evolving, especially within IT. At Impactive, we are committed to providing an outstanding experience for both candidates and clients.

We believe that recruitment can be a highly rewarding process when handled by professionals who genuinely care and can significantly impact careers and businesses. Our goal is to transform the recruitment industry. While this transformation won't happen overnight, we have laid the groundwork for lasting change.

If you are currently seeking a new role, interested in partnering with a forward-thinking agency, looking to understand our innovative recruitment model, or simply want to discuss current market trends with passionate professionals, please reach out to Matt directly or contact our general enquiry address. Rest assured, your queries will be addressed promptly.

Listed Jobs

Company Name: Impactive IT
Job Title: Data Scientist
Job Description: **Job Title:** Data Scientist **Role Summary:** Mid‑level data scientist working in a consultancy environment, embedded with client teams to design, build, test, and deploy machine‑learning models and analytical solutions on cloud‑based data platforms. Operates in an agile, hybrid setting (2 days on‑site) and handles varied projects across industries. **Expectations:** - 2+ years of professional data‑science experience. - Ability to self‑learn new tools and adapt to changing requirements. - Strong problem‑framing mindset, turning ambiguous business questions into testable hypotheses. - Commitment to quality, reproducibility, and clear communication with both technical and non‑technical stakeholders. **Key Responsibilities:** - Develop and deploy statistical and ML models within client data environments (initially BigQuery). - Create prototypes/POCs to validate ideas and inform solution design. - Translate fuzzy business problems into analytical approaches, success metrics, and deliverables. - Conduct data wrangling, cleaning, and validation on large, cloud‑based datasets. - Participate in agile delivery cycles, incorporating feedback and iterative improvements. - Collaborate with teammates, sharing insights and challenging assumptions. - Document workflows, version‑control code, and ensure reproducibility. **Required Skills:** - Proficient in Python (pandas, scikit‑learn, etc.) and SQL. - Strong analytical, statistical, and problem‑framing abilities. - Experience with version control (Git). - Comfortable handling large datasets on cloud platforms (BigQuery; Snowflake or Databricks a plus). - Ability to design and operationalise ML pipelines in cloud environments (nice to have). - Excellent verbal and written communication; able to explain technical concepts clearly. - Resilient, organized, and able to manage multiple tasks simultaneously. **Required Education & Certifications:** - Bachelor’s degree (or equivalent experience) in a quantitative, computational, or statistical discipline (e.g., Computer Science, Mathematics, Engineering, Statistics, Physics). - No specific certifications required; practical experience and demonstrable skill set are essential.

Leeds, United kingdom

Hybrid

Junior

28-01-2026

Company Name: Impactive IT
Job Title: Quality Assurance Tester
Job Description: **Job Title** Quality Assurance Tester **Role Summary** Execute and own the end‑to‑end testing strategy for a fast‑growing SaaS product. Conduct exploratory, automated UI and API tests, define quality gates, and ensure release confidence while embedding QA into CI/CD pipelines. **Expectations** - 3+ years of professional QA/testing experience. - Proven leadership in building and scaling automated test suites. - Ability to travel to the office 3 days a week (hybrid role). - Drive quality culture, aim to evolve into Head of QA within 12–18 months. **Key Responsibilities** 1. Design, develop and maintain robust test plans for new features. 2. Build and sustain automated UI and API test suites using Playwright, Cypress or equivalent. 3. Perform exploratory testing to uncover edge cases and non‑functional issues. 4. Define and enforce quality gates and release criteria across builds. 5. Track, analyze and report quality metrics and test coverage. 6. Collaborate with engineering to reproduce, triage, and verify defect fixes. 7. Champion best‑practice testing standards and provide coaching to peers. 8. Integrate QA processes into CI/CD pipelines and automate test execution. **Required Skills** - Strong automation experience (Playwright, Cypress, or similar). - API testing proficiency (Postman, REST). - CI/CD and test integration knowledge (Git, Jenkins, GitLab CI, etc.). - SQL for data validation and reporting. - Detail‑oriented, methodical testing mindset. - Excellent communication and collaboration skills. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering or related field *or* equivalent professional experience. - ISTQB or similar QA certification preferred but not mandatory. ---

Wakefield, United kingdom

On site

09-03-2026

Company Name: Impactive IT
Job Title: Senior Data Scientist
Job Description: Job title: Senior Data Scientist Role Summary Lead end‑to‑end data science initiatives for diverse client engagements. Design, build, validate, and deploy predictive models and machine learning workflows within cloud‑based data environments (primarily BigQuery). Create prototypes to iterate on business challenges and translate ambiguous questions into rigorous analytical solutions within an agile delivery framework. Expactations - 4+ years of professional data science experience. - Proven ability to wrangle large datasets on cloud platforms and self‑direct learning of new tools. - Comfortable adapting to shifting client requirements in a fast‑moving consultancy setting. - Strong communication skills to explain technical concepts to non‑technical stakeholders. Key Responsibilities - Design, develop, test, and deploy data science and ML models in client data environments. - Build prototypes and proofs‑of‑concept to explore hypotheses and shape solutions. - Translate fuzzy business questions into clear analytical approaches and success metrics. - Work within agile sprints, delivering iterative improvements and incorporating feedback. - Ensure quality control, validation, and reproducibility of all modeling work. - Collaborate cross‑functionally, sharing insights and challenging assumptions. Required Skills - Strong analytical and problem‑framing capabilities. - Advanced Python programming (pandas, scikit‑learn, etc.) and SQL proficiency. - Experience with version control (Git). - Working knowledge of large‑scale data/cloud platforms such as BigQuery, Snowflake, or Databricks (preferred). - Ability to design and deploy ML workflows in cloud environments. - Excellent written and verbal communication; clear and jargon‑free explanations. - Resilience, organization, and strong quality focus. Required Education & Certifications - Bachelor’s or Master’s degree in a quantitative or computational discipline (e.g., Statistics, Computer Science, Mathematics) or equivalent professional experience. - No specific certifications required, though knowledge of cloud data services is advantageous.

Leeds, United kingdom

Hybrid

Senior

05-03-2026