Data Scientist
Posted 1 day ago by Harvey Nash
Negotiable
Outside
Remote
Manchester Area, United Kingdom
Summary: The Data Scientist role based in Manchester involves fully remote work and focuses on analyzing behavioral data to support an AI research team. The position requires expertise in statistical analysis, time series data, and Python for data analysis, with an emphasis on extracting insights and contributing to model improvements. The contract is initially for 2 months and is classified as outside IR35. Candidates should possess strong communication skills to present findings effectively to diverse audiences.
Key Responsibilities:
- Analyze behavioral data to support AI research.
- Explore multimodal datasets and extract insights.
- Contribute to model improvements and data strategy decisions.
- Design and execute controlled data experiments, including A/B tests.
- Conduct exploratory data analysis on large-scale datasets.
- Communicate findings effectively through reports and presentations.
Key Skills:
- Solid background in statistical analysis and applied research methods.
- Experience with time series and sensor data from mobile devices or wearables.
- Advanced skills in Python for data analysis, including libraries like pandas and NumPy.
- Expertise in designing controlled data experiments.
- Exceptional communication skills for technical and general audiences.
- Proven track record in exploratory data analysis.
Salary (Rate): undetermined
City: Manchester
Country: United Kingdom
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Data Scientist – Manchester
Fully remote working
Day rate – Outside IR35
2 Months initially
We are seeking a contract Data Scientist to analyse behavioural data and support our AI research team. The role involves exploring multimodal datasets, extracting insights, and contributing to model improvements and data strategy decisions.
Key skills and requirements,
- A solid background in statistical analysis and applied research methods, enabling progression from ambiguous questions to thorough and reproducible analyses.
- Direct experience working with time series and sensor data—especially from mobile devices or wearables—including strategies for managing irregular sampling, noise, and missing data.
- Advanced skills in Python for data analysis, utilizing tools such as pandas, NumPy, SciPy, and a range of visualization libraries (matplotlib, seaborn, etc.).
- Expertise in designing and executing controlled data experiments, including A/B tests and cohort analyses focused on behavioural or physiological datasets.
- Exceptional ability to communicate findings effectively to both technical and general audiences, through clear written reports, visualizations, and presentations.
- Proven track record in conducting exploratory data analysis (EDA) on large-scale datasets—moving beyond traditional dashboards to genuine, investigative data science.
Interested? Please share your CV with Dean Sadler-Parkes at Harvey Nash.