analytical data scientist

JazzWorld

<div>
 
 
 Grade Level:
 
 L2
 
 
 Location:
 
 Islamabad
 
 
 Last Date to Apply:
 
 2nd July 2026
 
 
 
 
 What is a Data Scientist - Teknosys?
 
 
 The Data Scientist is a core technical role responsible for designing, developing, and delivering data-driven solutions that create tangible business value. This role combines strong analytical skills, statistical expertise, and machine learning capabilities to turn raw data into actionable insights and production-ready models.
 
 
 The Data Scientist works closely with business stakeholders, data engineers, and ML practitioners to understand problems, frame them analytically, and build models that address real organizational needs. The role focuses on the hands-on execution of the data science lifecycle, from data exploration and feature engineering through model development, validation, and deployment support.
 
 
 Working within established standards and frameworks, the Data Scientist contributes to a culture of collaboration, continuous learning, and responsible AI development. The role requires balancing experimentation with delivery discipline, ensuring that models are reliable, explainable, and aligned with business objectives.
 
 
 
 
 What does a Data Scientist - Teknosys do?
 
 
 <ul>
 <li>
 Translate business problems into well-defined data science and analytical solutions
 </li>
 <li>
 Perform data exploration, cleaning, feature engineering, and statistical analysis on diverse datasets
 </li>
 <li>
 Develop, train, and validate machine learning and statistical models to address business use cases
 </li>
 <li>
 Collaborate with data engineers and ML engineers to support model deployment and integration
 </li>
 <li>
 Evaluate model performance and continuously improve accuracy, reliability, and efficiency
 </li>
 <li>
 Communicate findings and insights clearly to technical and non-technical stakeholders
 </li>
 <li>
 Follow best practices across the ML lifecycle, including documentation, validation, and monitoring
 </li>
 <li>
 Contribute to responsible and ethical AI practices, including data privacy and model explainability
 </li>
 <li>
 Stay current with emerging tools and techniques, including Generative AI and Large Language Models (LLMs)
 </li>
 <li>
 Support the adoption of established standards, tools, and platforms within the data science practice
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 
 What are we looking for and what does it require to be a Data Scientist - Teknosys?
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Science, AI, Statistics, or related field
 </li>
 <li>
 4+ years of experience in Data Science, Machine Learning, or applied analytics
 </li>
 <li>
 Solid expertise in machine learning, statistical modeling, and data analysis
 </li>
 <li>
 Proficiency in Python and/or R, along with common data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch)
 </li>
 <li>
 Experience working with SQL and large datasets
 </li>
 <li>
 Exposure to cloud platforms (AWS, Azure, GCP) and ML workflows
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills
 </li>
 <li>
 Collaboration and teamwork
 </li>
 <li>
 Curiosity and continuous learning
 </li>
 <li>
 Problem-solving mindset
 </li>
 <li>
 Effective communication
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 
 Why Join Teknosys?
 
 
 
 At Teknosys, you will be at the forefront of Pakistan's digital transformation journey, shaping solutions across AI, Data, IT, and Managed Services. You'll work alongside some of the brightest minds in the industry, partner with global hyperscalers &amp; leaders, and close deals that define the future of digital in the region.
 
 
 Joining us means being part of a fast-scaling, innovation-led business where your impact will directly fuel growth, customer success, and leadership.
 
</div>

Data Scientist - Teknosys

Prospect 33

<div>
 
 Data Scientist
 
 
 
 Location:
 
 United Kingdom (Hybrid)
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 About Prospect 33
 
 
 
 Prospect 33 is an established specialist firm, founded in 2005, that partners with global financial institutions and develops AI, data, and technology solutions for some of the world's leading banks and financial services organisations.
 
 
 
 The Opportunity
 
 
 
 We are seeking a Data Scientist to join our team in the United Kingdom. In this role, you will apply statistical analysis, machine learning, and data modelling techniques to solve complex business problems and generate actionable insights.
 
 
 Working closely with stakeholders, engineers, and business teams, you will help design and develop analytical solutions that support decision-making, improve operational efficiency, and drive business value.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Analyse large and complex datasets to identify trends, patterns, and opportunities
 </li>
 <li>
 Develop, test, and maintain statistical and machine learning models
 </li>
 <li>
 Perform data preparation, feature engineering, and exploratory data analysis
 </li>
 <li>
 Design and evaluate experiments to measure model performance and business impact
 </li>
 <li>
 Build data visualisations and communicate findings to technical and non-technical stakeholders
 </li>
 <li>
 Collaborate with cross-functional teams to understand business challenges and translate them into analytical solutions
 </li>
 <li>
 Support the deployment, monitoring, and enhancement of predictive models
 </li>
 <li>
 Document methodologies, assumptions, and results to ensure transparency and reproducibility
 </li>
 <li>
 Stay current with developments in data science, machine learning, and analytics
 </li>
 </ul>
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, or another quantitative discipline
 </li>
 <li>
 2&ndash;5 years of experience in data science, analytics, machine learning, or a related field
 </li>
 <li>
 Strong proficiency in Python and SQL
 </li>
 <li>
 Experience applying statistical analysis and machine learning techniques to real-world problems
 </li>
 <li>
 Experience working with large and complex datasets
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Excellent communication and stakeholder management abilities
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Operations Research, or a related quantitative field
 </li>
 <li>
 Experience within financial services, banking, asset management, fintech, consulting, or other data-driven industries
 </li>
 <li>
 Experience with cloud platforms such as AWS, Azure, or GCP
 </li>
 <li>
 Familiarity with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch
 </li>
 <li>
 Experience with data visualisation tools such as Power BI or Tableau
 </li>
 <li>
 Knowledge of model deployment and MLOps concepts
 </li>
 </ul>
 
 
 Technical Skills
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 SQL
 </li>
 <li>
 Pandas
 </li>
 <li>
 NumPy
 </li>
 <li>
 Scikit-learn
 </li>
 <li>
 Jupyter Notebooks
 </li>
 <li>
 Git
 </li>
 <li>
 Power BI or Tableau
 </li>
 </ul>
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Strong statistical and analytical thinking
 </li>
 <li>
 Ability to communicate complex concepts clearly and effectively
 </li>
 <li>
 Intellectual curiosity and a passion for solving challenging problems
 </li>
 <li>
 Strong attention to detail and commitment to quality
 </li>
 <li>
 Ability to manage multiple priorities in a fast-paced environment
 </li>
 <li>
 Collaborative mindset and excellent interpersonal skills
 </li>
 <li>
 Experience working with business stakeholders and cross-functional teams
 </li>
 </ul>
 
 
 
</div>

Data Scientist

Chi Square Economics

<div>
 
 
 Data Scientist
 
 
 
 
 
 
 
 About the Opportunity
 
 
 
 Chi Square Group is currently partnering with a growing consulting firm in the search for a Data Scientist to join its expanding team. This firm delivers cutting-edge consulting and software solutions to organisations across the finance and defence sectors, helping them solve complex challenges through data-driven decision-making and advanced analytics.
 
 
 
 
 
 This is a unique opportunity to work alongside exceptional researchers, data specialists, and quantitative professionals in a highly intellectual and collaborative environment where data-driven insights directly influence strategic decision-making.
 
 
 
 
 
 The successful candidate will leverage a wide range of traditional, public, financial, and alternative datasets to uncover valuable signals, develop predictive models, and contribute to high-impact analytical projects. This role offers the opportunity to work at the intersection of data science, machine learning, and real-world decision-making within a fast-paced and innovative setting.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Analyse large and complex structured and unstructured datasets to identify meaningful patterns, trends, and opportunities.
 </li>
 <li>
 Develop predictive models and advanced analytical solutions that support critical business and research objectives.
 </li>
 <li>
 Partner closely with stakeholders to understand key challenges and translate data into actionable insights.
 </li>
 <li>
 Design, build, and enhance data products that improve the accessibility and value of analytical outputs.
 </li>
 <li>
 Collaborate with data engineering teams to leverage automated data pipelines and ensure high-quality data delivery.
 </li>
 <li>
 Evaluate and integrate alternative datasets to generate differentiated insights and uncover new opportunities.
 </li>
 <li>
 Apply statistical, machine learning, and artificial intelligence techniques to solve complex analytical problems.
 </li>
 <li>
 Continuously improve analytical processes, methodologies, and tools to increase efficiency and impact.
 </li>
 <li>
 Stay current with developments in data science, machine learning, artificial intelligence, and emerging technologies.
 </li>
 </ul>
 
 
 
 
 
 Candidate Requirements
 
 
 <ul>
 <li>
 Bachelor's, Master's, or PhD in a highly quantitative discipline from a recognised university (Russell Group University / top 300 in the world)
 </li>
 <li>
 Strong programming skills in Python and SQL.
 </li>
 <li>
 Experience using Azure &amp; Databricks is desirable.
 </li>
 <li>
 Experience working with large and complex datasets, including both structured and unstructured data.
 </li>
 <li>
 Solid understanding of statistical modelling, machine learning techniques, and applied data science methodologies.
 </li>
 <li>
 Experience building predictive models and analytical solutions that support business decision-making.
 </li>
 <li>
 Knowledge of cloud-based data platforms and modern data science tooling is advantageous.
 </li>
 <li>
 Exposure to financial, economic, or alternative datasets would be beneficial but is not essential.
 </li>
 <li>
 Strong problem-solving skills with the ability to work independently and take ownership of projects.
 </li>
 <li>
 Excellent communication skills, with the ability to explain complex analytical concepts to both technical and non-technical audiences.
 </li>
 <li>
 Highly organised, detail-oriented, and motivated to continuously learn and develop new skills.
 </li>
 <li>
 Ability to thrive in a fast-paced, collaborative, and intellectually challenging environment.
 </li>
 </ul>
 
 
 
 
 
 What's on Offer
 
 
 <ul>
 <li>
 Competitive compensation package.
 </li>
 <li>
 Opportunity to work alongside exceptional researchers, data scientists, and quantitative specialists.
 </li>
 <li>
 Meaningful ownership and responsibility from day one.
 </li>
 <li>
 Exposure to a diverse range of high-impact projects spanning data science, analytics, machine learning, and quantitative research.
 </li>
 <li>
 Continuous learning and professional development opportunities.
 </li>
 <li>
 Access to cutting-edge datasets, technologies, and analytical techniques.
 </li>
 <li>
 Chance to play a key role in shaping a rapidly growing and innovative organisation.
 </li>
 </ul>
 
 
</div>

Digital Waffle

<div>
 
 
 Senior Data Scientist | Data, Python, Science
 
 
 
 
 
 
 Senior Data Scientist with previous experience using Python is sought after by one of the UK&rsquo;s most exciting gaming/esports companies. They need a Data Scientist to help their team solve the real-world problems that their technology-driven, data focussed platform faces. You will have the opportunity to join a small, agile team of esports experts and help them build a potentially industry leading data distribution platform.
 
 
 
 
 
 For this position, they are looking for applicants with the following skillset:
 
 <ul>
 <li>
 A passion for clean data/statistics
 </li>
 <li>
 At least 3 years&rsquo; previous experience as a data scientist
 </li>
 <li>
 Python skills/experience
 </li>
 <li>
 Comfortable in an Agile environment
 </li>
 <li>
 Knowledge of GitHub
 </li>
 <li>
 Interest in gaming/esports
 </li>
 <li>
 Previous experience with machine learning models and established statistics
 </li>
 </ul>
 
 
 
 
 In return, they can offer:
 
 <ul>
 <li>
 A salary of up to &pound;85k (depending on experience)
 </li>
 <li>
 A generous training/personal development budget
 </li>
 <li>
 Transport contributions
 </li>
 <li>
 Flexible working hours
 </li>
 <li>
 A great list of perks in a brand-new office (when you are in the office)
 </li>
 </ul>
 
 
 
 
 If you are an experienced Data Scientist and want the chance to work in the gaming/esports industry, apply or contact Luke Rose for more details!
 
 
 
</div>

Insight

<div>
 
 About The Role
 
 
 
 As a Data Scientist, you will play a key role in transforming complex data into actionable insights that drive business value for our clients. Working within a global delivery model, you will collaborate closely with engineering teams and stakeholders to design, build, and deploy advanced analytics and machine learning solutions.
 
 
 This is an exciting opportunity to work with cutting-edge technologies in a collaborative, fast-paced environment, contributing to high-impact projects across multiple industries.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Analyse and interpret large, complex datasets from multiple sources
 </li>
 <li>
 Apply data mining, machine learning, and statistical techniques to solve business problems
 </li>
 <li>
 Design and build predictive models and algorithms
 </li>
 <li>
 Identify valuable data sources and automate data collection processes
 </li>
 <li>
 Pre-process structured and unstructured data for analysis
 </li>
 <li>
 Discover patterns, trends, and insights to support decision-making
 </li>
 <li>
 Develop and present insights using data visualisation tools
 </li>
 <li>
 Collaborate with client and internal engineering teams to integrate models into applications
 </li>
 <li>
 Recommend data-driven solutions and strategies to business challenges
 
 
 
 </li>
 </ul>
 
 Essential Experience &amp; Skills
 
 
 
 <ul>
 <li>
 Proven experience in a Data Scientist or similar role
 </li>
 <li>
 Strong knowledge of machine learning algorithms and techniques
 </li>
 <li>
 Proficiency in Python or R
 </li>
 <li>
 Experience with data science libraries/tools (e.g. NumPy, Weka, MatLab)
 </li>
 <li>
 Experience with data visualisation tools and query languages
 </li>
 <li>
 Experience working with NoSQL databases (MongoDB, Cassandra, HBase)
 </li>
 <li>
 Strong experience handling structured and unstructured data.
 
 
 
 </li>
 </ul>
 
 Core Competencies
 
 
 
 <ul>
 <li>
 Strong analytical and statistical problem-solving skills
 </li>
 <li>
 Solid foundation in mathematics and statistics
 </li>
 <li>
 Ability to translate complex data into business insights
 </li>
 <li>
 Excellent communication skills, with the ability to engage stakeholders at all levels
 </li>
 <li>
 Critical thinking and a proactive, solution-oriented mindset
 </li>
 <li>
 Collaborative team player with strong interpersonal skills
 </li>
 </ul>
</div>

MANTECH

<div>MANTECH seeks a motivated, career and customer-oriented Data Scientist to join our team in Tampa, FL.
The Data Scientist will leverage their strong technical background and knowledge to interpret and analyze complex sets of data to produce actionable insights. This role requires a knowledge of programming, mathematical modeling, and statistics to carry out machine learning projects.
Responsibilities include but are not limited to:<ul><li>
Quantitative analysis of data sets using exploratory mathematical and statistical analysis.</li><li>
Coordinating data analytic research activities applied to structured and unstructured data sets.</li><li>
Providing novel solutions to command data challenges through experimentation, by applying scientific methodology and statistics to frame problems and test hypotheses.</li><li>
Apply natural language processing (NLP) methods, clustering techniques and predictive modeling to generate insights.</li><li>
Designing and automating processes to facilitate the manipulation and analysis of data across dissimilar and large-scale data sets; cleaning and organizing data sets.</li><li>
Using frameworks such as Spark and Hadoop for large-scale data processing</li><li>
Creating data visualizations using products like Tableau or Power BI.</li><li>
Researching, designing, and implementing algorithms to solve complex problems using R, Python (NumPy, SciPy, Pandas), or similar scientific programming languages.</li><li>
Perform statistical modeling and machine learning cloud-based ML platforms.</li><li>
Communicating complex concepts and hypotheses to a non-technical audience.</li></ul>
Minimum Qualifications:<ul><li>
Bachelor&rsquo;s degree in a STEM field; a Bachelor's degree in a related field is acceptable with verifiable work experience.</li><li>
Proficiency with one or more programming languages such as Python, R or Java.</li><li>
Demonstrated experience applying data science methods to real-world data problems.</li><li>
Proficiency in Agile Development and Git Operations.</li><li>
Experience creating, maintaining, and communicating complex technical documentation and analytical reporting.</li><li>
Ability to obtain an Interim Secret clearance within 30 days of hire.</li></ul>
Preferred Qualifications:<ul><li>
Master&rsquo;s degree in Data Science, Applied Mathematics, Statistics, Physics, or Computer Science.</li><li>
Experience with the Sponsor&rsquo;s primary cyber risk and compliance automation tools.</li></ul>
Clearance Requirements:<ul><li>
Active Secret clearance and the ability to obtain and maintain TS/SCI</li></ul>
Physical Requirements:<ul><li>
Must be able to remain in a stationary position 50%.</li><li>
Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.</li><li>
Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.</li><li>
Must be able to exchange accurate information in these situations.</li></ul></div>

THE MARCOM ENGINE

<div>We are looking for a Data Scientist (all genders) to join THE MARCOM ENGINE (part of the Serviceplan Group) in Munich at the earliest possible start date in full-time.
 
 
In this role, you&rsquo;ll be part of a multidisciplinary team bridging data science, strategy, and automation and contribute to exciting projects at the forefront of digital transformation, working on innovative consumer insights initiatives and personalization measures for globally recognized brands.
What you can expect:
<ul><li>Develop and implement machine learning models and algorithms
</li><li>Conduct data analysis to identify patterns, trends and insights
</li><li>Participate in projects related to data and processing for AI Agents
</li><li>Work closely with internal and client stakeholders to formulate data-driven solutions
</li><li>Validate models and interpret results by performing statistical analysis and hypotheses
</li><li>Stay updated with the latest developments and best practices in data analytics and data science
</li><li>Ensure maintenance of data science model and process documentation
</li><li>Apply machine learning and automation to scale analyses and accelerate insights
</li><li>Create advanced analytical models that demonstrate how marketing contributes to business growth&mdash;from media effectiveness to customer lifetime value
</li><li>Work in a multidisciplinary team across data science, strategy, and automation to advance data-driven marketing measurement and optimization
</li></ul>What we expect from you:
<ul><li>A completed degree in a quantitative, analytical, or business-related field (e.g. Data Science, Statistics, Mathematics, Computer Science, Business Informatics) or a comparable qualification
</li><li>Several years of experience as a Data Scientist or Marketing Analyst, ideally with a strong focus on statistical modeling and marketing analytics, preferably in an agency or dynamic environment
</li><li>Excellent Python skills and experience with relevant libraries
</li><li>Excellent knowledge in handling data queries and confidence handling different data types (SQL, Redshift, PostgreSQL)
</li><li>Experience applying machine learning and automation to accelerate analytical workflows
</li><li>Familiarity with cloud environments such as GCP, AWS, or Azure, as well as visualization tools like Quicksight, Tableau, Power BI, or Looker
</li><li>Ability to translate complex statistical findings into clear, strategic insights
</li><li>Experience with Digital Analytics platforms or Marketing campaign data
</li><li>Excellent communication skills in English and German
</li><li>Curiosity, initiative, and a collaborative mindset
</li><li>Knowledge of information security and awareness of information security principles
</li></ul>What we offer:
<ul><li>Onboarding: Welcome round, digital onboarding day, newcomer coffee and newcomer round - we'll make sure your start is perfect continuing.</li><li>
Education: Your development is important to us. Whether through our internal campus training program, voluntary language courses or regular coaching - we keep you up to date!</li><li>
Flexibility: Flexible working hours, mobile office and job sharing models allow you to adapt your job to your life - and not the other way around.</li><li>
Fun: If you work, you also have to take a break. Whether it's partying or working out - with us, you'll have plenty of opportunities thanks to regular after-work events and agency-sponsored fitness programs.</li><li>
Location: Our modern office in Munich&rsquo;s creative district is easy to reach thanks to its convenient location.</li><li>
Internationality: As an internationally operating agency group, we offer you the opportunity to network and exchange ideas with colleagues from different disciplines all over the world.</li></ul></div>

Data Scientist (all genders)

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