Data Scientist III

JMark Services
Suffolk
1 week ago
Create job alert
Job Title: Data Scientist III (Secret Clearance Required)
Clearance Required:Secret
Education:Masters Degree in Analytics Statistics Computer Science Information Systems Engineering Mathematics or related disciplines
Job Description:
We are seeking a highly skilledData Scientist IIIto join our team and contribute to datadriven decisionmaking in support of missioncritical operations. The ideal candidate will possess advanced expertise in data strategies frameworks governance and business intelligence tools with a proven track record of leveraging data to solve complex problems and provide actionable insights.
In this role you will design and implement datadriven solutions manage data governance strategies and collaborate with crossfunctional teams to enhance business intelligence capabilities. You will work with large datasets develop predictive models and utilize advanced analytics techniques to support organizational objectives.
Key Responsibilities:
  • Develop and implement data strategies and frameworks to support business intelligence and decisionmaking.
  • Lead the design development and deployment of advanced analytical models and algorithms to extract insights from large datasets.
  • Work with crossfunctional teams to identify key data needs and translate business requirements into actionable data solutions.
  • Ensure data governance standards are applied across the organization to maintain data quality integrity and security.
  • Utilize a variety of business intelligence tools to analyze complex datasets and present insights in clear actionable formats.
  • Conduct exploratory data analysis to uncover trends patterns and relationships that inform business strategies.
  • Collaborate with stakeholders to define data requirements and ensure proper integration of data sources for analysis.
  • Develop and automate data pipelines for efficient data processing and reporting.
  • Stay uptodate with emerging data science trends techniques and tools to continuously improve analytical capabilities.
  • Provide mentorship and guidance to junior data scientists and team members.
Required Qualifications:
  • Education:Masters Degree in Analytics Statistics Computer Science Information Systems Engineering Mathematics or a related discipline.
  • Experience:At least seven 7 years of experience with data strategies frameworks governance and business intelligence tools.
  • Clearance:Active Secret clearance required.
Preferred Qualifications:
  • Expertise in data science tools and programming languages (e.g. Python R SQL etc..
  • Strong experience with data visualization and business intelligence tools (e.g. Tableau Power BI etc..
  • Proven ability to develop and implement data governance policies and practices.
  • Experience working with largescale datasets and cloudbased data platforms.
  • Strong problemsolving skills and the ability to turn complex data into clear insights and actionable recommendations.
  • Excellent communication skills with the ability to explain complex data concepts to both technical and nontechnical stakeholders.
JMarkis an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race color religion sex sexual orientation gender identity national origin age disability veteran status or any other characteristic protected by applicable federal state or local laws. All qualified applicants will receive consideration for employment without regard to these factors.



Key Skills
Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills
Employment Type :Full Time
Experience:years
Vacancy:1

Related Jobs

View all jobs

Data Engineer III

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs in the Public Sector: Exploring Opportunities Across GDS, NHS, MOD, and More

Data science has emerged as one of the most influential fields in the 21st century, transforming how organisations make decisions, improve services, and solve complex problems. Nowhere is this impact more visible than in the UK public sector. From the Government Digital Service (GDS) to the National Health Service (NHS) and the Ministry of Defence (MOD), government departments and agencies handle vast amounts of data daily to support the well-being and security of citizens. For data enthusiasts looking to make a meaningful contribution, data science jobs in the public sector can offer rewarding roles that blend innovation, large-scale impact, and societal benefit. In this comprehensive guide, we’ll explore why data science is so pivotal to government, the roles you might find, the skills needed, salary expectations, and tips on how to succeed in a public sector data science career.

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.

Data Science Jobs for Non‑Technical Professionals: Where Do You Fit In?

Beyond Jupyter Notebooks Ask most people what a data‑science career looks like and they’ll picture Python wizards optimising XGBoost hyper‑parameters. The truth? Britain’s data‑driven firms need storytellers, strategists, ethicists and project leaders every bit as much as they need statisticians. The Open Data Institute’s UK Data Skills Gap 2024 places demand for non‑technical data talent at 42 % of all data‑science vacancies—roles focused on turning model outputs into business value and trustworthy decisions. This guide highlights the fastest‑growing non‑coding roles, the transferable skills many professionals already have, and a 90‑day action plan to land a data‑science job—no pandas required.