senior architect

senior electrical engineer

senior quantity surveyor

senior structural engineer

senior mechanical engineer

senior research scientist

1inch Labs

<div>
 1inch is the DeFi ecosystem building financial freedom for everyone. 1inch products help users and builders trade, hold and track digital assets - with the self-custody, comprehensive security and the intuitive user experience they need to unlock the potential of true crypto ownership. 1inch protocols and APIs provide core infrastructure across the DeFi industry and beyond.
 
 
 So if you&rsquo;re someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team.
 
 
 
 Location: We hire with a focus on Dubai and Europe. For this role, we prefer candidates who are either based in Dubai or working remotely within +/- 4 hours GST time.
 
 
 
 We&rsquo;re looking for a Senior Data Scientist to help strengthen our growing Data &amp; Analytics team. This role will play a key part in improving our data infrastructure, maintaining high data quality, and delivering fast, actionable insights across teams. They&rsquo;ll also support product, business, and strategic decision-making through advanced analytics.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Activiley shaping how company uses data for strategic decisions
 </li>
 <li>
 Enhance data infrastructure and tooling for improved efficiency
 </li>
 <li>
 Support critical business units with ad-hoc analytics and insights
 </li>
 <li>
 Conduct deep-dive research and analysis to uncover actionable findings
 </li>
 <li>
 Improve data collection and analytics processes across teams
 </li>
 <li>
 Ensure dashboards provide clarity, usability, and real-time visibility
 
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Minimum 5+ years of experience in data science, data analytics, or related field
 </li>
 <li>
 Proven track record of implementing data infrastructure improvements and optimisations
 </li>
 <li>
 Prior experience working with blockchain tools or DeFi data strongly preferred
 </li>
 <li>
 Strong proficiency in SQL, Python, and data visualisation tools
 </li>
 <li>
 Experience with data warehousing, ETL processes, and data pipeline optimisation
 </li>
 <li>
 Understanding of statistical concepts and practical experience applying them
 </li>
 <li>
 Ability to translate complex findings into clear, actionable insights
 </li>
 <li>
 Collaborative mindset with excellent communication skills to work effectively across teams
 
 
 </li>
 </ul>
</div>

Senior Data Scientist

The IN Group

<div>
 
 
 
 Senior Researcher (Recruitment)
 
 
 
 
 
 
 The IN Group
 
 
 
 
 
 
 Dubai, Hybrid
 
 
 
 
 
 
 Competitive Basic Salary + Commission
 
 
 
 
 
 
 Arabic Speaking
 
 
 
 
 
 
 
 
 The IN Group have opened an office in Dubai.
 
 Our new Middle East office represents a significant milestone for the business. Backed by substantial investment from our strategic partners, Career International, this new hub has been designed to support our long-term vision and scale our presence in one of the world's most dynamic and high-growth regions.
 
 
 
 
 
 You will be responsible for conducting comprehensive market research, identifying potential candidates, and providing critical insights to aid in the decision-making process.
 
 The ideal candidate will speak fluent Arabic and have experience in recruiting throughout the GCC. You will have proven experience as a Researcher within an Executive Search practice, of a Recruitment Consultant who has worked on Senior Level positions.
 
 
 
 
 
 
 
 This is a unique opportunity to be a part of the founding team for TIG (The IN Group) Dubai.
 
 We have an entrepreneurial spirit where you will have the chance to build your own recruitment business within a business. You will be joining high performing company where you will get the support and development to excel your recruitment career.
 
 
 
 
 
 In this market, we plan to build a team of 10&ndash;12 FTEs focused on high-impact areas including finance, technology and change recruitment, management consulting, and solution selling. We are committed to operating at the top of the market, delivering premium, high-value recruitment solutions to businesses undergoing digital and cultural transformation.
 
 
 
 
 
 
 
 
 
 
 What we are looking for:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 Fluent Arabic speaker
 
 
 </li>
 <li>
 
 Experience in recruiting throughout the GCC
 
 </li>
 <li>
 
 2 or more years of experience in researcher position, ideally within executive search.
 
 </li>
 <li>
 Strong analytical skills with the ability to interpret and synthesize complex data.
 </li>
 <li>
 Proficiency in using various research tools and databases (e.g., LinkedIn Recruiter)
 </li>
 <li>
 Excellent written and verbal communication skills.
 </li>
 <li>
 High level of professionalism, integrity, and confidentiality.
 </li>
 <li>
 Strong organizational skills and attention to detail.
 </li>
 <li>
 Ability to work independently and as part of a team in a fast-paced environment.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 
 
 Market Research:
 
 
 <ul>
 <li>
 Conduct thorough market and industry research to understand trends, competitive landscape, and talent pools.
 </li>
 <li>
 Analyze and interpret data to provide insights on potential candidates and target companies.
 </li>
 </ul>
 
 
 
 
 
 Candidate Identification:
 
 
 <ul>
 <li>
 Utilize various sourcing methods including databases, social media, networking, and direct approaches to identify high-potential candidates.
 </li>
 <li>
 Develop and maintain a pipeline of qualified candidates for current and future executive search engagements.
 </li>
 </ul>
 
 
 
 
 
 Candidate Evaluation:
 
 
 <ul>
 <li>
 Conduct preliminary assessments and screenings of identified candidates.
 </li>
 <li>
 Prepare detailed candidate profiles and reports for review by senior consultants and clients.
 </li>
 </ul>
 
 
 
 
 
 Database Management:
 
 
 <ul>
 <li>
 Maintain and update the executive search database with accurate and current candidate and client information.
 </li>
 <li>
 Ensure all research activities and candidate interactions are documented appropriately.
 </li>
 </ul>
 
 
 
 
 
 Collaboration:
 
 
 <ul>
 <li>
 Work closely with senior consultants and partners to understand client needs and position specifications.
 </li>
 <li>
 Participate in client meetings to provide research insights and support.
 </li>
 </ul>
 
 
 
 
 
 Reporting:
 
 
 <ul>
 <li>
 Prepare regular reports on research findings, candidate progress, and market intelligence.
 </li>
 <li>
 Present research findings and recommendations to senior consultants and clients as required.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 
 Why Join Us:
 
 
 
 <ul>
 <li>
 Opportunity to work with industry-leading clients and senior-level executives.
 </li>
 <li>
 Collaborative and supportive team environment.
 </li>
 <li>
 Continuous professional development and growth opportunities.
 </li>
 <li>
 Competitive salary and benefits package.
 </li>
 <li>
 Hybrid working pattern
 </li>
 </ul>
 
 
</div>

Senior Researcher

Deeplight AI

<div>
 
 About DeepLight AI:
 
 DeepLight AI is a specialist AI partner with extensive experience implementing intelligent enterprise systems across multiple industries,
 
 with particular depth in financial services and banking
 
 . Our team combines deep expertise in
 
 data science, statistical modeling
 
 , AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
 
 
 
 Role Overview:
 
 We are looking for a
 
 Senior AI/Data Scientist with deep banking subject matter expertise
 
 to design, develop and implement
 
 statistical models and data-driven solutions
 
 for our enterprise clients. The successful candidates will work on
 
 risk modeling, portfolio optimization, and regulatory capital management
 
 across
 
 treasury, wholesale banking, and corporate lending divisions
 
 .
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Develop and implement risk models for treasury operations, corporate lending, wholesale banking, and liquidity management, with deep understanding of the underlying business context
 </li>
 <li>
 Build RAROC and RAC optimization frameworks to improve risk-adjusted returns and capital allocation across business lines
 </li>
 <li>
 Create statistical models for corporate credit risk, including PD, LGD, and EAD models for lending decisions and portfolio management
 </li>
 <li>
 Provide subject matter expertise on Basel requirements, regulatory capital models, and stress testing frameworks
 </li>
 <li>
 Partner with business stakeholders in treasury, risk, and corporate banking to translate business requirements into statistical solutions
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 8+ years of experience in data science and statistical modeling within banking/financial services
 </li>
 <li>
 Proven track record developing risk models for corporate banking, wholesale banking, or treasury functions
 </li>
 <li>
 Advanced degree in Statistics, Mathematics, Data Science, or related quantitative field preferred
 </li>
 <li>
 Strong proficiency in Python and relevant statistical/ML frameworks but more importantly, deep understanding of the statistical concepts underlying these tools
 </li>
 <li>
 Hands-on experience with regulatory capital models and Basel framework
 </li>
 <li>
 Strong problem-solving skills and attention to detail
 
 
 </li>
 </ul>
 
 Note:
 
 We're looking for true data scientists with solid statistical foundations
 
 AND proven banking domain expertise
 
 , not software engineers who've picked up some ML libraries. The ideal candidate has actually built and deployed risk models in production banking environments and can serve as a subject matter expert for our clients.
 
 
 
 Benefits
 
 
 
 
 Benefits &amp; Growth Opportunities:
 
 
 
 <ul>
 <li>
 Competitive salary and performance bonuses
 </li>
 <li>
 Comprehensive health insurance
 </li>
 <li>
 Professional development and certification support
 </li>
 <li>
 Opportunity to work on cutting-edge AI projects
 </li>
 <li>
 International exposure and travel opportunities
 </li>
 <li>
 Flexible working arrangements
 </li>
 <li>
 Career advancement opportunities in a rapidly growing AI company
 
 
 </li>
 </ul>
 This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
</div>

Deeplight

<div>About DeepLight AI: DeepLight AI is a specialist AI partner with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
Role Overview: We are looking for a Senior AI/Data Scientist with deep banking subject matter expertise to design, develop and implement statistical models and data-driven solutions for our enterprise clients. The successful candidates will work on risk modeling, portfolio optimization, and regulatory capital management across treasury, wholesale banking, and corporate lending divisions.
Key Responsibilities:<ul>
<li>Develop and implement risk models for treasury operations, corporate lending, wholesale banking, and liquidity management, with deep understanding of the underlying business context</li>
<li>Build RAROC and RAC optimization frameworks to improve risk-adjusted returns and capital allocation across business lines</li>
<li>Create statistical models for corporate credit risk, including PD, LGD, and EAD models for lending decisions and portfolio management</li>
<li>Provide subject matter expertise on Basel requirements, regulatory capital models, and stress testing frameworks</li>
<li>Partner with business stakeholders in treasury, risk, and corporate banking to translate business requirements into statistical solutions</li>
</ul>Requirements
Requirements<ul>
<li>8+ years of experience in data science and statistical modeling within banking/financial services
</li><li>Proven track record developing risk models for corporate banking, wholesale banking, or treasury functions</li>
<li>Advanced degree in Statistics, Mathematics, Data Science, or related quantitative field preferred</li>
<li>Strong proficiency in Python and relevant statistical/ML frameworks but more importantly, deep understanding of the statistical concepts underlying these tools
</li><li>Hands-on experience with regulatory capital models and Basel framework</li>
<li>Strong problem-solving skills and attention to detail</li>
</ul>Note: We're looking for true data scientists with solid statistical foundations AND proven banking domain expertise, not software engineers who've picked up some ML libraries. The ideal candidate has actually built and deployed risk models in production banking environments and can serve as a subject matter expert for our clients.
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>International exposure and travel opportunities</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</div>

DATAIKU

<div><div>Dataiku is The Universal AI Platform&trade;, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.</div>
The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.

Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team primarily uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques while being able to explain their work to other data scientists and clients.

In this role, you'll help the team:
<ul>
<li>Co-develop production-level data science projects with our customers
</li>
<li>Analyse and investigate various kinds of data and machine learning applications across industries and use cases
</li>
<li>Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support
</li>
<li>Provide data science expertise both to customers and internally to Dataiku's sales and marketing teams
</li>
<li>Develop custom Python-based &quot;plugins&quot; in collaboration with Solutions, R&amp;D, and Product teams, to enhance Dataiku's functionality
</li>
</ul>You might be a good fit for the role if you have:
<ul>
<li>English - fluent, Arabics - fluent/native will be a big plus</li>
<li>
Curiosity and a desire to learn new topics and skills
</li>
<li>Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku's customers, and the general public
</li>
<li>The ability to clearly explain complex topics to technical as well as non-technical audiences
</li>
<li>2 - 10 years of experience with Python and SQL
</li>
<li>2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn)
</li>
<li>Familiarity with data visualisation in Python and R
</li>
<li>Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL
</li>
</ul>Technical skills that may help you in the role:
<ul>
<li>Experience with Consulting and/or Customer-facing Data Science roles
</li>
<li>Experience with Data Engineering or MLOps
</li>
<li>Experience developing WebApps in JavaScript, RShiny, or Dash
</li>
<li>Experience building APIs
</li>
<li>Experience using enterprise data science tools
</li>
<li>Passion for teaching or public speaking
</li>
</ul>#LI-AS2<div><div> 
</div>
<div>What are you waiting for!</div>
<div>At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you'd like to learn even more about working here, you can visit our Dataiku LinkedIn page.</div>
<div></div>
<div>Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com</div> 
<div></div>

<div></div><div><div>Protect yourself from fraudulent recruitment activity</div>
<div>Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.</div></div></div></div>

AXIAN Telecom

<div>
 
 The Chief Data Scientist leads the strategic vision, development, and application of advanced analytical models, machine learning, and artificial intelligence solutions for IT Co. This role is crucial for transforming raw data into actionable insights, building intelligent products, and enabling data-driven decision-making for Axian Telecom's clusters and external clients. This position ensures IT Co remains at the forefront of AI and data science innovation, driving value creation across all service offerings.
 
 
 
 
 
 
 
 MAIN FUNCTIONS
 
 
 
 
 
 
 
 The Chief Data Scientist is responsible for pioneering and implementing IT Co&rsquo;s data science and AI capabilities, developing advanced analytical models, and translating complex data insights into tangible business value. This involves leading a team of data scientists and AI experts, setting the technical direction for AI/ML development, and ensuring the effective integration of data science solutions into IT Co's service offerings for Axian Telecom's clusters and external clients.
 
 
 
 
 
 
 
 
 
 RESPONSIBILITES
 
 
 
 
 ACTIVITIES / TASKS
 
 
 
 
 Lead AI and Data Science Strategy &amp; Development:
 
 
 <ul>
 <li>
 Define and drive the strategic roadmap for IT Co&rsquo;s AI and data science capabilities, including AI Ideation, AI Use Case Validation, AI-Product Development, AI Model Development, MLOps, and Agentic AI.
 </li>
 <li>
 Oversee the research, development, and implementation of advanced machine learning models and artificial intelligence solutions to address complex client business problems and create new service offerings.
 </li>
 <li>
 Establish best practices for data science methodology, model governance, deployment (MLOps), and ethical AI principles within IT Co..
 </li>
 </ul>
 
 
 Drive Data-Driven Innovation and Insights for Clients
 
 
 <ul>
 <li>
 Lead initiatives to extract actionable insights from complex datasets, utilizing techniques such as Data Insights, Computer Vision, and Language Technologies, specifically tailored to client needs and challenges.
 </li>
 <li>
 Collaborate with the Head of Business Intelligence and Head of Data Engineering to ensure data availability, quality, and architecture support advanced analytical needs for client projects.
 </li>
 <li>
 Identify new opportunities for applying AI and data science to enhance existing IT Co services and develop new, innovative solutions directly for clients..
 </li>
 </ul>
 
 
 Support Pre-Sales and Direct Client Engagement
 
 
 <ul>
 <li>
 Act as the primary technical expert for data science and AI in client-facing pre-sales engagements, articulating the value and feasibility of proposed solutions to clients and stakeholders.
 </li>
 <li>
 Develop compelling demonstrations and prototypes of AI/ML capabilities tailored to specific client challenges and use cases.
 </li>
 <li>
 Collaborate with sales teams to understand client needs and contribute to the technical aspects of proposals for data science and AI projects.
 </li>
 </ul>
 
 
 Foster Technical Expertise and Team Growth
 
 
 <ul>
 <li>
 Lead, mentor, and develop a high-performing team of data scientists, machine learning engineers, and AI researchers, fostering a culture of innovation and continuous learning to better serve clients.
 </li>
 <li>
 Stay abreast of the latest advancements in AI, machine learning, and data science, ensuring IT Co maintains a competitive edge in its offerings for the client market.
 </li>
 <li>
 Drive knowledge sharing and best practices across IT Co's technical teams, especially concerning the application of AI and data science in client solutions.
 </li>
 </ul>
 
 
 
 
 Any additional or related activities requested by the Management and/or his/her supervisor within his/her competence and expertise.
 
 
 
 
 
 
 LEVEL OF EDUCATION:
 
 
 <ul>
 <li>
 PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Mathematics, or a closely related quantitative field. Global Top Tier University Graduate is a plus.
 </li>
 </ul>
 
 
 
 
 
 LEVEL OF EXPERIENCE:
 
 
 <ul>
 <li>
 More than 10 years of progressive experience in data science, machine learning, or AI development, with at least 5 years in a senior leadership or principal data scientist role within an IT service provider.
 </li>
 <li>
 Demonstrable experience in leading and building high-performing data science, machine learning, or AI research teams.
 </li>
 <li>
 Proven track record in successfully designing, deploying (including MLOps), and optimizing machine learning models in production environments.
 </li>
 <li>
 Experience collaborating with sales and solutioning teams in a pre-sales capacity for data science/AI projects.
 </li>
 </ul>
 
 
 
 
 
 INTERPERSONAL SKILLS REQUIRED :
 
 
 <ul>
 <li>
 
 Spirit of Initiative &amp; Problem-Solving:
 
 Proactively identifies complex data challenges and innovative AI solutions, driving their development and implementation.
 </li>
 <li>
 
 Analytical and Conceptual Thinking:
 
 Exceptional ability to break down complex problems, design robust analytical frameworks, and translate business needs into data science opportunities.
 </li>
 <li>
 
 Strategic Vision for AI:
 
 Ability to articulate a compelling long-term vision for AI and data science capabilities and their impact on IT Co's services.
 </li>
 <li>
 
 Results-Oriented:
 
 Focused on delivering tangible business outcomes and measurable value through data science and AI initiatives.
 </li>
 <li>
 
 Excellent Communication and Storytelling:
 
 Ability to explain complex algorithms and data insights clearly and persuasively to both technical and non-technical audiences, including C-level executives and clients.
 </li>
 <li>
 
 Collaboration &amp; Influence:
 
 Strong ability to work cross-functionally with data engineers, architects, business intelligence specialists, and external partners.
 </li>
 <li>
 
 Mentorship &amp; Team Development:
 
 Proven capability to guide and grow a team of data scientists.
 </li>
 </ul>
 
 
 
 
 
 SPECIAL REQUIREMENTS:
 
 
 
 
 
 
 
 
 Computer tools :
 
 
 
 <ul>
 <li>
 
 Advanced Statistical Modeling &amp; Machine Learning:
 
 Expertise in various ML algorithms (supervised, unsupervised, reinforcement learning), deep learning frameworks (TensorFlow, PyTorch), and statistical analysis techniques.
 </li>
 <li>
 
 Data Manipulation &amp; Programming:
 
 Proficiency in Python, R, Scala, or similar, with strong experience in data manipulation libraries (e.g., Pandas, NumPy) and SQL.
 </li>
 <li>
 
 Big Data Technologies :
 
 Experience with distributed computing frameworks (e.g., Spark, Hadoop) and cloud-based data platforms (e.g., Databricks, Snowflake, Google Cloud AI Platform, AWS SageMaker, Azure ML).
 </li>
 <li>
 
 MLOps &amp; Deployment :
 
 Practical experience with machine learning operations (MLOps) tools and practices for model versioning, deployment, monitoring, and retraining in production environments.
 </li>
 <li>
 Cloud AI Services: Familiarity with AI/ML services offered by major cloud providers (AWS, Azure, GCP).
 </li>
 <li>
 
 Experimentation Design:
 
 Strong understanding of A/B testing, causal inference, and experimental design for measuring impact.
 </li>
 <li>
 
 Ethical AI &amp; Bias Detection:
 
 Knowledge of principles for responsible AI development, including fairness, transparency, and explainability.
 </li>
 </ul>
 
 
 
 
 
 
 Language skills :
 
 
 
 <ul>
 <li>
 
 Essential: Fluent in English (written and verbal).
 
 </li>
 </ul>
 
 
 
 
 
 
 Others :
 
 
 
 <ul>
 <li>
 
 Deep Analytical Acumen
 
 : Ability to rapidly understand complex business problems and formulate data science solutions.
 </li>
 <li>
 
 Very High Availability and Geographical Mobility
 
 : Willingness and ability to travel as required to collaborate with Axian Telecom clusters or clients.
 </li>
 <li>
 Thought Leadership: Ability to represent IT Co externally as an expert in data science and AI.
 </li>
 </ul>
 
 
</div>

Chief Data Scientist

Experts Group International

<div>
 
 
 Job Title: Data Scientist (12-Month Contract)
 
 
 
 
 Location:
 
 UAE / Hybrid
 
 
 
 Contract Type:
 
 Full-Time, 12-Month Fixed-Term Contract
 
 
 
 
 
 
 About the Role:
 
 
 
 We are looking for a skilled and results-oriented
 
 Data Scientist
 
 to join our team on an initial
 
 12-month contract
 
 basis. This role will focus on leveraging data to support
 
 lead generation
 
 ,
 
 sales strategy
 
 ,
 
 pricing analytics
 
 , and automation through
 
 Python-based systems
 
 .
 
 
 You&rsquo;ll work closely with cross-functional teams&mdash;including Sales, Marketing, Product, and Engineering&mdash;to translate data into actionable insights, optimize pricing models, and build scalable tools that support growth and decision-making.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop and implement data models to identify high-value leads and optimize lead-generation funnels.
 </li>
 <li>
 Analyze
 
 sales performance
 
 and
 
 conversion data
 
 to support targeting, segmentation, and sales strategy.
 </li>
 <li>
 Build and maintain dynamic
 
 pricing models
 
 and conduct pricing sensitivity analysis to inform business decisions.
 </li>
 <li>
 Create, automate, and optimize workflows and reports using
 
 Python
 
 , SQL, and relevant tools.
 </li>
 <li>
 Collaborate with business stakeholders to define data needs, KPIs, and success metrics.
 </li>
 <li>
 Work with large datasets from multiple sources (e.g., CRM, marketing automation, web analytics).
 </li>
 <li>
 Design and maintain intuitive dashboards and reporting systems using
 
 Tableau
 
 ,
 
 Power BI
 
 , or
 
 Python Dash/Plotly
 
 .
 </li>
 <li>
 Support A/B testing, experiment design, and performance measurement for lead-gen and sales campaigns.
 </li>
 <li>
 Build predictive or classification models where appropriate (e.g., lead scoring, churn prediction).
 </li>
 <li>
 Collaborate with data engineers (or perform data engineering tasks) to ensure data pipeline reliability and scalability.
 </li>
 <li>
 Clearly communicate findings and recommendations to both technical and non-technical stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Proven experience as a
 
 Data Scientist
 
 ,
 
 Data Analyst
 
 .
 </li>
 <li>
 Strong
 
 Python programming skills
 
 , including key libraries such as
 
 pandas
 
 ,
 
 NumPy
 
 ,
 
 scikit-learn
 
 ,
 
 matplotlib/seaborn
 
 , etc.
 </li>
 <li>
 Solid SQL skills and experience working with relational databases.
 </li>
 <li>
 Experience in data analysis for
 
 lead generation
 
 ,
 
 sales optimization
 
 , or
 
 pricing analytics
 
 .
 </li>
 <li>
 Experience with version control tools (e.g., Git) and collaborative codebases.
 </li>
 <li>
 Ability to manage multiple priorities and meet deadlines in a fast-paced environment.
 </li>
 <li>
 Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) is a plus.
 </li>
 <li>
 Experience working with APIs or web scraping for lead or data acquisition is a plus.
 </li>
 <li>
 Comfortable working in cross-functional teams and communicating insights clearly to non-technical stakeholders.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in
 
 Data Science
 
 ,
 
 Statistics
 
 ,
 
 Computer Science
 
 ,
 
 Economics
 
 ,
 
 Mathematics
 
 , or a related field.
 </li>
 </ul>
 
 
</div>

Data Scientist

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