junior data scientist

Blue Data Consulting

<p><b>Overview:</b></p><p>We are looking for a passionate and detail-oriented Junior Data Scientist with 6 months to 1 year of hands-on experience in data science and machine learning. The ideal candidate will have exposure to real-world projects and a strong eagerness to learn and apply modern AI techniques such as RAG systems, computer vision, and Gen AI Applications. This is an excellent opportunity to grow your career in a dynamic and innovative environment.</p><p><b>Key Responsibilities:</b></p><ul><li>Assist in designing, developing, and deploying machine learning and deep learning models for practical business problems.</li><li>Support projects involving RAG systems (Retrieval-Augmented Generation), computer vision, and large-scale data processing.</li><li>Help build and maintain ML pipelines with a focus on performance and scalability.</li><li>Work with cloud platforms like AWS, Azure, or GCP for model deployment and data workflows.</li><li>Collaborate with cross-functional teams to understand requirements and deliver data-driven insights.</li><li>Participate in experiment tracking and monitoring using tools like MLflow and Langfuse.</li><li>Support integration of ML models into applications using Flask, FastAPI, or Django.</li></ul><p><b>Required Skills:</b></p><ul><li>Programming Languages: Python, SQL</li><li>Data Science Frameworks &amp; Tools: TensorFlow, PyTorch, MLflow, LangChain, Langfuse, Flowise, Hugging Face Transformers</li><li>Integration Frameworks: Flask, FastAPI, Django</li><li>Cloud Platforms: GCP, Azure, or AWS (Optional)</li></ul><p><b>Good to Have Skills:</b></p><ul><li>Familiarity with no-code or low-code tools for quick prototyping.</li><li>Basic understanding of OpenAI SDK or Google Agent SDK.</li></ul><p><b>Company Name: Blue Data Consulting &amp; IT Services Pvt Ltd.</b></p><p><b>Employment Type: Full-time</b></p><p><b>Working Hours: 9:30am to 5:30pm</b></p><p><b>Working Days: Monday to Friday</b></p><p><b>Work Mode: Work From Office</b></p><p><b>Location: Surat, Gujarat</b></p><p>Job Types: Full-time, Permanent</p><p>Benefits:</p><ul><li>Health insurance</li><li>Leave encashment</li></ul><p>Work Location: In person</p>

Junior Data Scientist

LSEG (London Stock Exchange Group)

<div><div>Proud to share LSEG in the India is Great Place to Work certified (Jun &rsquo;25 &ndash; Jun &rsquo;26).</div><div>
Learn more about life and purpose of our company directly from India colleagues&rsquo; video: <div>Bengaluru, India | Where We Work | LSEG</div></div><div></div><div>
Junior Data Scientist - Job Description Summary</div><div></div><div><br>
Design and develop new methodologies, quantitative models, analysis, and commentary (as relevant) that enhance existing or new processes. Maintain existing product performance and independent analysis standards. Internally, work with various departments to grow new ideas and expand the scope of existing products.</div><div></div><div><br>
Job Description</div><ul><li>
Data handling, data processing and programming</li><li>
Support delivery of new or enhanced capabilities by defining requirements and/or leading projects</li><li>
Translate business needs into solution requirements. Write functional and non-functional specifications</li><li>
Propose and implement improvements to products and processes</li><li>
Develop automated solutions for sourcing/loading fundamentals data into database</li><li>
Analyze Legal entity content to establish patterns/trends</li><li>
Build extraction solutions based on different document formats</li><li>
Develop, improve, and run quantitative models</li><li>
Generate solutions through machine learning for core processes</li><li>
Work with business, content, and product groups for large-scale analytics problems</li><li>
Build POCs, visualizations and pipeline tools for product design and development</li><li>
Work with development groups for deployment of analytics solutions</li><li>
Interact with other internal teams as needed, with supervision.</li><li>
Maintain process documentation</li><li>
Testing and validation of tools and processes</li></ul><div></div><div>
Knowledge &amp; Skill:</div><ul><li>
Extensive experience in using Python or equivalent</li><li>
Experience in AI / ML Technology implementation, Agentic, LLM / SLM models</li><li>
Experience in designing, developing, and deploying advanced statistical models based on machine learning and deep learning algorithms.</li><li>
Solid understanding of statistical concepts</li><li>
Proficient in using tools and libraries such as Scikit-learn, NumPy, Pandas</li><li>
Proficient with anyone of the deep learning frameworks like PyTorch, TensorFlow, etc.</li><li>
Strong understanding of HTML, CSS and Web scraping</li><li>
Strong Problem-solving aptitude</li><li>
Solid understanding of relational database and SQL skills.</li><li>
Good understanding of REST API architecture and containers (Kubernetes or Docker).</li><li>
Ability to handle large quantities of data</li><li>
Narrate stories (to technical and mostly non-technical audience) about our content and processes by data analysis and visualization</li><li>
Strong written, communication and presentation skills. Able to respond and present work to peers, senior management, and other stakeholders</li><li>
</li><li>
Qualification:</li><li>
Bachelors/Masters in Engineering or Higher education in Statistics, Mathematics, Data Science or related quantitative discipline with Data science certification</li><li>
</li><li>
Desired Skills:</li><li>
1+ years of Data Science project experience in Finance domain is preferred</li></ul><div></div><div>
Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.</div><div></div><div>
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.</div><div></div><div>
Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.</div><div></div><div>
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.</div><div></div><div>
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.</div><div></div><div>
You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.</div><div></div><div>
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.</div><div></div><div>
Please take a moment to read this <div>privacy notice</div> carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, <div>your rights and how to contact us as a data subject</div>.</div><div></div><div>
If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.</div></div>

LSEG

<div>
 Job Summary:
 <br/>
 <br/>
 As a Junior Data Scientist, you will assist in delivering data-driven insights and solutions under the guidance of senior data scientists. This role is focused on applying basic machine learning and data analysis techniques to assist in developing solutions that address customer needs. You will collaborate with multi-functional teams, learning from experienced professionals and helping implement data science-driven products, particularly focusing on data preparation, model implementation, and data analysis tasks.
 <br/>
 <br/>
 Role &amp; Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Assist in the development and deployment of machine learning models under the guidance of senior data scientists.
  </li>
  <li>
   Apply basic machine learning techniques, including data preprocessing, feature engineering, and model evaluation, to solve business problems.
  </li>
  <li>
   Collaborate with the team to gather and analyze data, ensuring data quality and consistency.
  </li>
  <li>
   Support the creation of dashboards, reports, and data visualizations to communicate findings.
  </li>
  <li>
   Work with senior team members to understand client requirements and contribute to the design and implementation of data science solutions.
  </li>
  <li>
   Perform exploratory data analysis (EDA) to understand data patterns and trends.
  </li>
  <li>
   Assist in the maintenance and updating of models and algorithms in production.
  </li>
  <li>
   Develop scripts for automating data processing tasks and workflows.
   <br/>
   <br/>
  </li>
 </ul>
 Qualifications and Experience Required:
 <br/>
 <br/>
 <ul>
  <li>
   At least 2 years of experience in data science, machine learning, or a related field, ideally in a financial industry or familiar with finance.
  </li>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.
  </li>
  <li>
   Basic understanding of machine learning algorithms and their applications.
  </li>
  <li>
   Proficiency in Python with knowledge of libraries such as Pandas, NumPy, and scikit-learn for data analysis and model building.
  </li>
  <li>
   Familiarity with SQL for querying relational databases and performing data manipulation.
  </li>
  <li>
   Understanding of data preprocessing techniques, including handling missing data, scaling, and encoding.
  </li>
  <li>
   Basic knowledge of cloud platforms (AWS, GCP, or Azure) and machine learning frameworks such as TensorFlow or PyTorch.
  </li>
  <li>
   Ability to learn quickly and apply new concepts in data science.
  </li>
  <li>
   Strong analytical and problem-solving skills, with the ability to communicate findings effectively.
  </li>
  <li>
   A passion for learning and staying updated with the latest developments in data science and machine learning.
  </li>
  <li>
   Experience with data visualization tools like Tableau, Power BI, or Matplotlib.
  </li>
  <li>
   Familiarity with NoSQL databases like MongoDB or Cassandra.
  </li>
  <li>
   Knowledge of basic NLP techniques for text data analysis.
  </li>
  <li>
   Interest in gaining exposure to deep learning frameworks like TensorFlow and PyTorch.
  </li>
  <li>
   Interest in gaining exposure to LLMs and agentic frameworks
   <br/>
   <br/>
  </li>
 </ul>
 LSEG is committed to encouraging a diverse, equitable, an inclusive work environment, ensuring equal opportunities for all employees, regardless of their background. We offer great employee benefits to make sure everyone performs to the best of their abilities. We offer a hybrid working model.
 <br/>
 <br/>
 Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
 <br/>
 <br/>
 LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
 <br/>
 <br/>
 Our purpose is the foundation on which our culture is built. Our values of
 <strong>
  Integrity, Partnership
 </strong>
 ,
 <strong>
  Excellence
 </strong>
 and
 <strong>
  Change
 </strong>
 underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
 <br/>
 <br/>
 Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
 <br/>
 <br/>
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
 <br/>
 <br/>
 You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
 <br/>
 <br/>
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 <br/>
 <br/>
 Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
 <br/>
 <br/>
 If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
</div>


<div><div><div>Job Summary:</div><div><div>
As a Junior Data Scientist, you will assist in delivering data-driven insights and solutions under the guidance of senior data scientists. This role is focused on applying basic machine learning and data analysis techniques to assist in developing solutions that address customer needs. You will collaborate with multi-functional teams, learning from experienced professionals and helping implement data science-driven products, particularly focusing on data preparation, model implementation, and data analysis tasks.</div></div></div><div><div>
Role &amp; Responsibilities:</div><div><ul><li>
Assist in the development and deployment of machine learning models under the guidance of senior data scientists.</li><li>
Apply basic machine learning techniques, including data preprocessing, feature engineering, and model evaluation, to solve business problems.</li><li>
Collaborate with the team to gather and analyze data, ensuring data quality and consistency.</li><li>
Support the creation of dashboards, reports, and data visualizations to communicate findings.</li><li>
Work with senior team members to understand client requirements and contribute to the design and implementation of data science solutions.</li><li>
Perform exploratory data analysis (EDA) to understand data patterns and trends.</li><li>
Assist in the maintenance and updating of models and algorithms in production.</li><li>
Develop scripts for automating data processing tasks and workflows.</li></ul></div></div><div></div><div><div>
Qualifications and Experience Required:</div><div><ul><li>
At least 2 years of experience in data science, machine learning, or a related field, ideally in a financial industry or familiar with finance.</li><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.</li><li>
Basic understanding of machine learning algorithms and their applications.</li><li>
Proficiency in Python with knowledge of libraries such as Pandas, NumPy, and scikit-learn for data analysis and model building.</li><li>
Familiarity with SQL for querying relational databases and performing data manipulation.</li><li>
Understanding of data preprocessing techniques, including handling missing data, scaling, and encoding.</li><li>
Basic knowledge of cloud platforms (AWS, GCP, or Azure) and machine learning frameworks such as TensorFlow or PyTorch.</li><li>
Ability to learn quickly and apply new concepts in data science.</li><li>
Strong analytical and problem-solving skills, with the ability to communicate findings effectively.</li><li>
A passion for learning and staying updated with the latest developments in data science and machine learning.</li><li>
Experience with data visualization tools like Tableau, Power BI, or Matplotlib.</li><li>
Familiarity with NoSQL databases like MongoDB or Cassandra.</li><li>
Knowledge of basic NLP techniques for text data analysis.</li><li>
Interest in gaining exposure to deep learning frameworks like TensorFlow and PyTorch.</li><li><div>
Interest in gaining exposure to LLMs and agentic frameworks</div></li></ul><div></div><div>
LSEG is committed to encouraging a diverse, equitable, an inclusive work environment, ensuring equal opportunities for all employees, regardless of their background. We offer great employee benefits to make sure everyone performs to the best of their abilities. We offer a hybrid working model.</div></div></div><div></div><div>
Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.</div><div></div><div>
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.</div><div></div><div>
Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.</div><div></div><div>
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.</div><div></div><div>
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.</div><div></div><div>
You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.</div><div></div><div>
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.</div><div></div><div>
Please take a moment to read this <div>privacy notice</div> carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, <div>your rights and how to contact us as a data subject</div>.</div><div></div><div>
If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.</div></div>

Enerjisa Üretim

<div>
 <p>
  We are looking for a
  <strong>
   Data Scientist/Junior Data Scientist
  </strong>
  to join our team in &Idot;stanbul Ata&scedil;ehir Head Office.
 </p>
 <p>
  <br/>
 </p>
 <p>
  At Enerjisa &Uuml;retim, nature and people are our true sources of energy. Every step we take moves us closer to a more sustainable future. As our operations expand across the globe, we continue to create value that goes beyond borders.
 </p>
 <p>
  58% of our energy portfolio comes from renewable sources &mdash; and we&rsquo;re already shaping tomorrow&rsquo;s energy, starting today.
 </p>
 <p>
  People are at the heart of everything we do. Our growth is driven by a deep commitment and enriched by the diverse voices that make us who we are.
 </p>
 <p>
  We believe true transformation begins together.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Ready to be part of the change? Join us &mdash; because the future changes with us.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    DATA SCIENTIST/ JUNIOR DATA SCIENTIST
   </u>
  </strong>
 </p>
 <p>
  Are you passionate about the intersection of data science and the energy sector? We are on the lookout for a talented Data Scientist/Junior Data Scientist to join our team and contribute to cutting-edge projects in energy generation, trading, and derivatives. If you thrive on developing quantitative solutions, building decision support systems, and collaborating across multidisciplinary teams, this opportunity is for you!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's or Master's Degree preferably in Industrial Engineering, Computer Science, Engineering or a related quantitative field with a focus on applied statistics, AI, machine learning
  </li>
  <li>
   At least 1-2 years experience on related fields
  </li>
  <li>
   Hands on experience with data science projects &mdash; from requirement specification till deploying, maintaining, and improving production-ready solutions
  </li>
  <li>
   Hands on experience on real-world optimization problems and ability to develop large optimization algorithms or heuristics to solve these problems
  </li>
  <li>
   Hands on experience in scripting languages Python and R
  </li>
  <li>
   Experience of coding in optimization tools as XPRESS, CPLEX or GUROBI or optimization focused Python libraries as xpress, pulp, pyomo
  </li>
  <li>
   Experience with machine learning models
  </li>
  <li>
   Experience on data consumption methods (SQL, API, Azure Service Bus)
  </li>
  <li>
   Experience with cloud environment is a plus
  </li>
  <li>
   Experience with DevOps tools (GitHub, Docker) is a plus
  </li>
  <li>
   Knowledge of Turkish energy sector is a plus
  </li>
  <li>
   Fluent in English
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Descriptions:
  </strong>
 </p>
 <ul>
  <li>
   Developing quantitative solutions centered around energy generation, trading, and derivatives
  </li>
  <li>
   Developing statistical forecasting models, simulation tools, optimization algorithms and mathematical models for stochastic processes
  </li>
  <li>
   Building decision support systems from scratch
  </li>
  <li>
   Performing fundamental data analysis and data visualization
  </li>
  <li>
   Performance tracking and maintaining the existing products
  </li>
  <li>
   Collaborating with backend, frontend, data engineering, product and business teams for model development and implementation by regarding the secure software development cycle
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What Awaits You at Enerjisa &Uuml;retim?
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Hybrid Working Model
   </strong>
  </li>
  <li>
   <strong>
    Master&rsquo;s Degree Support
   </strong>
  </li>
  <li>
   <strong>
    Flexible Benefits
   </strong>
   <em>
    (With our "Sana G&ouml;re" program, you can customize your benefits based on your individual needs and preferences)
   </em>
  </li>
  <li>
   <strong>
    Child&amp;Pet-Friendly Policies
   </strong>
  </li>
  <li>
   <strong>
    Collective&amp;Special Leave Options
   </strong>
  </li>
  <li>
   <strong>
    Learning&amp;Development Programs and LinkedIn Learning Membership
   </strong>
  </li>
  <li>
   <strong>
    Power MBA Development Program
   </strong>
   <em>
    (In collaboration with Sabanc&inodot; University Executive Development Unit &ndash; offering training opportunities in energy markets, generation technologies, data analytics, strategy, finance, and more)
   </em>
  </li>
  <li>
   <strong>
    Social Activity Clubs
   </strong>
   <em>
    (Sports, arts, travel, gastronomy)
   </em>
  </li>
  <li>
   <strong>
    Healthy Living Services
   </strong>
   <em>
    (Fitness trainers, dietitian support, and wellness programs)
   </em>
  </li>
  <li>
   <strong>
    Parent Support Program
   </strong>
   <em>
    (Includes support from nurses, dietitians, psychologists, and coaches from pregnancy through postpartum)
   </em>
  </li>
  <li>
   <strong>
    Private Pension Plan
   </strong>
   (with company Contributions)
  </li>
  <li>
   <strong>
    Private Health and Life Insurance
   </strong>
  </li>
  <li>
   <strong>
    Sabanc&inodot; Life Privileges
   </strong>
   <em>
    (Exclusive offers in shopping, travel, technology, wellness, and more)
   </em>
  </li>
 </ul>
 <p>
  👉
  <strong>
   <u>
    Click Here To Watch Our Office Promotional Video
   </u>
  </strong>
 </p>
</div>


Data Scientist/Junior Data Scientist

QNB Türkiye

<div>
 <p>
  <strong>
   DATA SCIENTIST
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ENHANCE YOUR WORLD WITH AN ENHANCING CAREER
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Are you aware of the power of data analyzing in banking sector which is putting human at the center of the business. Do you trust yourself at creating value at a developing area of one of the oldest and biggest sectors in the World.
 </p>
 <p>
  <br/>
 </p>
 <p>
  QNB is always supporting employees who are eager to create a development at their career and the future of the sector. Our human resources policies are aiming to create an equal, fulfilled and empowering working atmosphere for individuals willing to have a satisfying career journey.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What are the opportunities for you
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Empowering working atmosphere which will appreciate your desire for development
  </li>
  <li>
   Keeping up to date with a progressive sector always looking for a new opportunity
  </li>
  <li>
   Building a career at one of the most trustable and growing sectors.
  </li>
  <li>
   Comfort of working at an environment supporting your happiness and growth
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   If you are willing to be a part of this developmental atmosphere
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are seeking for several data scientists (
  <strong>
   junior and mid-level
  </strong>
  ) who will help us in discovering the information in vast amounts of data, and making smarter decisions in
  <strong>
   QNB R&amp;D Center
  </strong>
  . Your focuses will be combining data-driven insights and business knowledge to create analytical solutions for business units and applying machine learning techniques, doing statistical analysis, and building high quality prediction systems integrated with current systems in R&amp;D Center projects. The ideal candidate will be intricately involved in running analytical experiments in a methodical manner, and will regularly evaluate alternate models via theoretical approaches.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Job Description of Our Team:
   </em>
  </strong>
 </p>
 <p>
  In order to ensure that process is managed in an accurate and effective way;
 </p>
 <ul>
  <li>
   Designing, developing, and maintaining new and current Dashboards, data models and reports to support business performance evaluations
  </li>
  <li>
   Troubleshooting and adjusting existing data and automated reporting environments
  </li>
  <li>
   Using extensive SQL and code knowledge to derive insights from large datasets in order to solve real-life, fast-paced business problems.
  </li>
  <li>
   Visualizing data through visualization tools and compelling data and portfolio trends to management and business units.
  </li>
  <li>
   Analyzing and extracting data to uncover insights, trends, and opportunities that inform strategic decisions and perform analysis.
  </li>
  <li>
   Collaborating closely with cross-functional teams, particularly IT, to define and execute data analysis projects,
  </li>
  <li>
   Contributing to the development of data analytics strategies aligned with business objectives,
  </li>
  <li>
   Monitoring key performance indicators (KPIs) and providing actionable recommendations based on your analyses,
  </li>
  <li>
   Developing predictive models using various machine learning techniques,
  </li>
  <li>
   Preparing smart variables by performing big data analysis, feature engineering,
  </li>
  <li>
   Keeping up-to-date with latest technology trends, and doing AI projects with Python/R,
  </li>
  <li>
   Establishing connection between the relevant units and with the consulting firms from which support is received in projects, when necessary,
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   We are waiting for your application if;
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree from a reputable university (preferably in Mathematics, Engineering etc.),
  </li>
  <li>
   Interested in big data, analytics and machine learning subjects,
  </li>
  <li>
   Maximum 4 years of experience in related departments
  </li>
  <li>
   A methodological approach to data by presenting it clearly and effectively to support business decisions
  </li>
  <li>
   Ability to visualize data or use visualization tools,
  </li>
  <li>
   Good command of MS Office programs
  </li>
  <li>
   Good command of SQL for effective data manipulation and querying is a plus
  </li>
  <li>
   Using one of the following modeling programs effectively; SAS, Python, R or SPSS is a plus
  </li>
  <li>
   Fluency in English, both written and spoken
  </li>
  <li>
   Open-minded, strong analytical point of view and problem-solving skills,
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  The future of banking is waiting for you, apply to create an impact on this inspire full journey.
 </p>
</div>


Data Scientist

DGN Technologies

<p><b>Job Title: Data Scientist </b></p><p><b>Location : Remote</b></p><p><b>Long Term Contract</b></p><p><b>Role and Responsibilities:</b></p><p><b>Job Summary:</b></p><p>We're seeking an experienced Senior Data Scientist with 5+ years of experience in data science to lead our data analytics team. As a Senior Data Scientist, you'll be responsible for developing and implementing advanced data models, predictive analytics, and machine learning solutions to drive business growth.</p><ul><li><b>Key Responsibilities:</b></li><li>Data Analysis and Modeling: Develop and deploy machine learning models to solve complex business problems. Analyze large datasets to identify trends, patterns, and insights that inform business decisions.</li><li>Leadership: Lead and mentor junior data scientists and analysts, providing guidance on best practices and techniques.</li><li>Stakeholder Management: Collaborate with cross-functional teams, including business stakeholders, product managers, and engineers to identify business needs and develop data-driven solutions.</li><li>Communication: Communicate complex data insights and recommendations to both technical and non-technical stakeholders.</li></ul><p><b>Requirements:</b></p><ul><li>Education: Master's degree in Computer Science, Statistics, Mathematics, or a related field.</li><li>Experience: 5+ years of experience in data science, with a proven track record of developing and deploying machine learning models.</li><li>Technical Skills: Proficiency in programming languages like Python, R, or SQL. Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.</li><li>Soft Skills: Excellent communication, collaboration, and leadership skills.</li></ul><p>Thanks</p><p>Nadeem Akhtar</p><p>Mob-+91-6206264091</p><p>Job Types: Permanent, Contractual / Temporary</p><p>Pay: &#8377;1,000.00 - &#8377;1,300.00 per hour</p><p>Benefits:</p><ul><li>Work from home</li></ul><p>Work Location: Remote</p>

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